10 Business Analytics jobs in Ireland

Purpose of Position: The purpose of this position is to contribute to the academic excellence and strategic development of the College by delivering high-quality teaching in business analytics and applied finance across a range of undergraduate and postgraduate programmes. The role also involves curriculum development, the creation of programme-related materials, and active engagement in the continuous development of the College. In addition, the position supports the College's broader mission by ensuring alignment between academic programmes and industry standards. The successful candidate will play a key role in enhancing the College's reputation and supporting its ongoing growth and development. Reporting to: Dean of Business Key Relationships: Dean of School of Business Vice Deans of Business and Social Sciences Students both full and part-time Professional Bodies Academic Operations Team Student Services Team Faculty and Associate Faculty in the School Key Responsibilities: Teaching, Learning and Assessment Responsibilities Deliver high-quality teaching in Business and Finance Analytics across undergraduate and postgraduate programmes within the School of Business. Design, prepare, and deliver lectures, tutorials, workshops, and other learning activities in line with institutional policies and quality standards. Provide timely and constructive formative and summative feedback to students. Supervise student research projects and dissertations at undergraduate and postgraduate levels. Support and supervise students on work placements and internships. Develop and maintain effective working relationships with colleagues, students, and external stakeholders. Engage in continuous professional development to maintain subject expertise and pedagogical effectiveness. Participate in academic committees, programme boards, and quality assurance processes. Liaise with the library and other support services to ensure appropriate learning resources are available. Innovate in teaching practice through the use of digital tools, blended learning, and inclusive pedagogies. Monitor student engagement with learning and action appropriate responses within the design of the programme. Monitor academic integrity within programmes of learning and action where infringement may be a risk Programme Development Contribute to the design, development, and review of new and existing programmes, ensuring alignment with academic standards and industry needs. Prepare programme documentation for validation, accreditation processes and other process. Engage with internal and external stakeholders to ensure curriculum relevance and responsiveness to emerging trends in business and finance analytics. Research and Scholarship Undertake scholarly and/or applied research that contributes to the academic profile of the School and informs teaching practice. Publish research outputs in relevant and appropriate field journal and other source of required standard and inclusive. Develop a personal research agenda aligned with the strategic priorities of the College. Seek external funding to support research initiatives and collaborative projects. Engagement with Professional and External Bodies Engage with professional and industry bodies to inform curriculum relevance and graduate pathways. Collaborate with the Careers Team to support student employability, including placements, internships, and graduate opportunities. Represent the College in professional networks, industry forums, and academic partnerships. Academic Leadership and Administration Contribute to the strategic development of the School of Business through active participation in planning and review processes. Act as Programme Director for designated undergraduate or postgraduate programmes, in consultation with the Dean. Provide academic advising and pastoral support to students, including acting as a personal tutor. Participate in College-wide events such as open days, recruitment fairs, and outreach activities. Contribute to short courses, executive education, and consultancy projects as required. Demonstrate leadership skills relevant to the role. Any other duties as required by the College. Qualifications & Experience Required: A full level 8 honours degree in Economics, Finance, Business Analytics or related field. Industry or professional experience in finance, analytics or data-informed business roles is desirable Demonstrated experience in lecturing at undergraduate and postgraduate levels, including curriculum delivery, assessment, and student support Experience in delivering QFA-aligned content (or holding a QFA qualification) is desirable. Proficiency in analytics tools (e.g., Excel, SPSS, R, Python, Power BI) is strongly preferred. A developing or established research profile. Experience supervising students at Master's level (taught or research) is required; supervision at doctoral level is an advantage. Familiarity with professional accreditation processes and engagement with professional bodies (e.g., for exemptions or curriculum alignment). Excellent communication, interpersonal, and organisational skills. Strong digital literacy, including proficiency in virtual learning environments (e.g., Moodle, Blackboard) and educational technologies. A proactive, self-directed approach with the ability to work independently and collaboratively within a team. Commitment to continuous professional development and engagement with the wider academic and professional community. A PhD in a relevant discipline (Economics, Finance, Business Analytics, Quantitative Methods). Candidates without a PhD must demonstrate a clear commitment to completing one within an agreed timeframe. Contract: Permanent post Salary: Academic II - €53,836- €82,374 The level of appointment will be commensurate with qualifications and experience. Annual Leave: 34 Days per annum pro rata Hours: Full Time To Apply: Please apply with a CV and cover letter both in PDF format ONLY, quoting reference number: NCI 1006 to: by 5:00 pm, 19th August 2025 . Note: The functions and responsibilities assigned to Lecturer in Business and Finance Analytics are based on the current stated role and objectives of the College. These functions and responsibilities may alter in line with any change in the role and objectives of the College. The successful applicant will be subject to Garda Vetting and must not have any convictions under the Sex Offenders Act 2001. The Importance of Confidentiality We would like to assure you that protecting confidentiality is our number one priority. You can expect that all enquires, applications and all aspects of the proceedings are treated as strictly confidential and are not disclosed to anyone, outside those directly involved in that aspect of the process.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Business Intelligence
**Job Category:**
People Leader
**All Job Posting Locations:**
Limerick, Ireland
**Job Description:**
About Vision
Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.
Are you passionate about improving and expanding on the possibilities of vision treatments? Ready to join a team that's reimagining how vision is improved? Our Vision team solves the toughest health challenges. Help combine cutting-edge insights, science, technology, and people to encourage eye care professionals and patients to proactively protect, correct and enhance healthy sight for life. Our products and services address these needs - from the pediatric to aging eye - in a patient's lifetime.
Your unique talents will help patients on their journey to wellness. Learn more at Manager, Plan Data and Analytics role resides within the Johnson & Johnson Vision (JJV) Supply Chain Planning Excellence team.
This role is responsible for developing and leading a multi-year strategy to deploy state-of-the-art reporting and analytic capabilities, using the established technology stack within J&J. This strategy will ensure improvement of analytics maturity via comprehensive deployment of the blueprinted standards and processes, and support development and deployment of a planner self-serve data capability.
This role will work closely aligned with the Planning Excellence team, the Digital team and the Global & Regional Planning Process Leaders to make sure deliverables are driving the right business performance. This leader will drive operational efficiencies and initiate transformational projects when needed. The manager will successfully guide the organization through these changes while ensuring effective execution of the current processes.
Key Responsibilities:
- Develop and execute a strategic roadmap for the Planning organizations data and analytics platform.
- Build and deploy a self-service data platform with curated datasets.
- Align platform capabilities with technology roadmaps and lead their deployment.
- Establish governance for new enhancements (metric development, analytics, machine learning models etc.) initiatives and strategies.
- Contribute to the evaluation and implementation of standard methodologies to business reporting / analytics capabilities on the platform.
- Collaborate with internal and external partners to enhance reporting and analytical solutions.
- Use analytics to drive business process improvements and supply chain performance.
- Support in deploying strategy to improve operational effectiveness within analytics.
- Co-develop targeted insights and analytics for key decision-makers.
- Lead project management efforts for analytics development and platform enhancements.
- Identify the right partners, process and technology capabilities that are needed to drive increased data and analytics maturity.
- Explore data sources and perform data engineering for new capabilities.
- Assess opportunities to improve operational efficiencies through data.
- Oversee platform governance, ensuring alignment with evolving business needs.
- Drive operational efficiencies and resolve issues promptly within the area.
Key Relationships:
This position will work closely with various Supply Chain stakeholders including but not limited to:
- All levels of the Planning function.
- Make, deliver, source, information technology, strategy and innovation, product management or other supply chain functions / leaders.
Qualifications
Education:
- Bachelor's Degree required with preference in Supply Chain, Operational Research, Computer Science, Analytics, Engineering or equivalent / advanced degree/MBA preferred.
- PMP, FPX, SME, lean / 6S Black Belt or equivalent certifications preferred.
- Other certifications in areas of expertise desirable.
Experience:
- Minimum six (6) years of relevant experience required.
- Experience working within a multi-regional and multi-functional team in a highly matrixed, global, and virtual environment is required.
- Project and program management experience preferred.
- Experience with data (acquisition) platforms, data & analytics, and visualization platform delivery is required.
- Experience with Microsoft Azure, Data Bricks, Azure Data Factory, SQL, Python Alteryx and Tableau is preferred.
- Knowledge in Supply Chain KPI reporting, and Supply Chain metrics preferred.
Knowledge, Skills and Abilities:
- Critical thinking, ability to develop and execute a comprehensive strategy that realizes functional and company goals.
- Ability to influence at all levels within the Supply Chain organization.
- Strong communication and visualization skills with the ability to communicate clearly, making the complex clear and compelling to all levels in the organization.
- Demonstrates a strong solid understanding of industry methodologies and benchmarks.
- Ability to effectively manage projects, multiple priorities and timelines.
- Big picture, attention to detail, align strategic and tactical goals.
- Pro-active, can-do attitude and ability to function autonomously
- Highly proficient with Microsoft Excel, Word, Power Point, JIRA.
- Results orientation - ability to deliver to timelines.
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
Pune - Requisition Number: R-028881
Jacksonville - Requisition Number: R-028883
Ireland - Requisition Number: R-028109
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
#LI-CH2
#LI-Hybrid

The Gambling Regulatory Authority of Ireland (GRAI) is a new statutory body that is responsible for the licensing and regulation of gambling, gaming, betting and certain lottery activities. Our role is to make sure gambling activities are well-regulated and fair. The Role Reporting to the Director of Technology / Digital First, the Assistant Director of Data and Analytics (AP - Standard Scale)will lead the GRAIs data and analytics team and will be responsible for the organisations overall data architecture and data strategies. From outreach to other Gambling Regulators, we know that Data Analytics is now absolutely essential to the effective monitoring and investigation of online operators. In addition to effective and robust compliance, GRAI will also be responsible for the National Gambler Exclusion Scheme, a database containing highly sensitive personal information. Essential Criteria To be eligible to apply for this role, you must clearly demonstrate in your application form that you meet the following essential criteria: Education A Bachelors degree (minimum NFQ Level 7) in Data science, Data and Data Analytics, Statistics, Computer Science, Business Information Systems, Information Technology, Business Analytics, or a related discipline. Experience At least five years relevant professional experience, including a minimum of three years in a data analytics, business intelligence, or similar role. Data Strategy & Governance Experience in developing data strategies, platforms, and standards within governance or quality control frameworks. Knowledge of data governance, including data quality management, compliance requirements, and data security (particularly for Personally Identifiable Information PII). Technical Proficiency Proficiency in data analysis and visualisation tools (e.g. SQL, Power BI, Tableau, Python, R). Experience delivering reports and dashboards that provide actionable insights for decision-makers. Experience in data warehousing, ELT process management, and dimensional/tabular modelling. Data Architecture & Systems Advanced knowledge of Data Warehouse design methodologies (e.g. star and snowflake schemas). Experience developing and maintaining case management systems from a data perspective. Desirable Criteria Sector & Regulatory Knowledge Knowledge of the gambling sector or similar regulatory frameworks. Experience with public sector data initiatives, open data, or data-sharing schemes. Strong knowledge of GDPR compliance and secure information exchange practices. Systems & Platform Experience Experience managing the development, deployment, and maintenance of ICT systems for online licensing, payments, and public registers, including implementing real-time API integrations at scale. Experience with Salesforce CRM and Tableau (or industry-recognised equivalents). Data Quality, Automation & Advanced Analytics Track record in identifying data gaps and remediating data quality issues. Experience in automating reporting processes or developing dashboards for senior leadership teams. Knowledge of machine learning techniques or advanced statistical modelling including exposure to AI. Technical Proficiency In-depth demonstratable experience in the development and implementation of end-to-end analytical capabilities for the enterprise, catering for some or all of: Data Collection Data Integration and Management Data Analysis Data Visualisation and Reporting Delivery of Actionable Insights Integration of Analytics into Business processes Communication & Stakeholder Engagement Ability to present complex data findings clearly to both technical and non-technical audiences, and to collaborate effectively with internal and external stakeholders. How to Apply Conscia Talent will be managing all aspects of the recruitment process on behalf of the Gambling Regulatory Authority of Ireland. Applications should be made online through Conscia Talent's website and by attaching a completed application form, downloadable at Conscia's website. Your application must be submitted on the website not later than 3pm (Irish time) on Monday 1 September 2025. If you do not receive an acknowledgement of receipt of your application within 24 hours of applying, please contact Conscia Talent. Skills: Data Data Analytics

**Summary:**
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
2. Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
3. Work as a key member of the product team to solve problems and identify trends and opportunities
4. Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams
5. Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
6. Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics
**Minimum Qualifications:**
Minimum Qualifications:
7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
8. 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Industry:** Internet

**Summary:**
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Engineer, Product Analytics Responsibilities:
1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by giving/receiving actionable feedback
**Minimum Qualifications:**
Minimum Qualifications:
12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
14. 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
**Preferred Qualifications:**
Preferred Qualifications:
15. Master's or Ph.D degree in a STEM field
**Industry:** Internet

Google welcomes people with disabilities.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 12 years of experience in a sales role in the enterprise software or cloud space.
+ Leadership experience within a quota-carrying team, such as people management, team lead, mentorship or coaching.
+ Experience implementing pipeline generation and sales processes and best practices.
**Preferred qualifications:**
+ 4 years of people management experience in an Software-as-a-Service (SaaS) or Platform-as-a-Service (PaaS) sales role.
+ Experience leading teams, with a focus on coaching, mentoring, and developing team members.
+ Experience selling data technologies to clients.
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Field Sales Manager, you will lead a team responsible for growing our BI business by building and expanding relationships with new and existing customers. You will build relationships with internal stakeholders (e.g. Customer Engineering, Solution Architecture, Product) and customers, supporting the team to do the same. You will ensure your team has the necessary skills to demonstrate product functionality and comprehensive overviews of key business use cases, and close business. You will support a positive, high-performing team culture, while leading with empathy and identifying innovative ways to multiply the impact of the team as a whole to drive overall value for Google Cloud.
Looker is a unified platform that powers data experiences and delivers actionable business insights to employees at the point of decision. Looker integrates data into the daily workflows of users to allow organizations to extract value from data at web-scale.
**Responsibilities:**
+ Define and build a GTM strategy for the EMEA South region focused on ensuring a team of enterprise sellers can reliably build and close pipeline.
+ Build and maintain executive relationships with customers, consult long-term strategic direction and act as a trusted advisor.
+ Build, coach, mentor, motivate and guide a team of representatives. Manage the team day-to-day, offering leveraged support for critical business opportunities, as well as career mentorship.
+ Develop and execute a strategy to accelerate Looker sales growth in the region.
+ Be able to assist customers in identifying use cases suitable for Looker deployment, and articulate key differentiators and typical customer buying journeys. Display a passion for how businesses are transformed through the use of data and analytics.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Description
Our team is looking for a Regional Business Intelligence Manager to work with various stakeholder groups to procure data center capacity, support long term scaling strategies for AWS's infrastructure regions, and manage a portfolio of critical infrastructure agreements. As the Regional Business Intelligence Manager, you will research and manage all areas of transaction deal flow related to data center procurement projects in the region, for both Colocation and Real Estate.
Our Business Intelligence Managers are:
- strategically oriented individuals with strong data analysis and communication skills
- working within an ambiguous environment
- possess a strong sense of ownership,
- adept at taking calculated risks in order to act quickly,
- organized and have program and project management skills
- data driven with a passion for continuous improvement.
- directly connecting with senior leaders and key vendors
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Worldwide Sustainability (WWS) organization capitalizes on Amazon's scale, speed, ability to build, invent, and simplify a resilient and sustainable company. We manage our social and environmental impacts globally, and drive solutions that enable our customers, businesses, and the world to become more sustainable.
Key job responsibilities
- Leverage advantage data science skills to prepare transaction business case, forecast project costs and partner with internal teams to submit business case for leadership review.
- Assist with site selection process, strategy development, data analysis across the region.
- Manage stakeholder engagement from initial due diligence to contract review and execution, including management of all milestones to track contract execution and delivery from stakeholders.
- Support development of Master Telecommunications Service Agreements, Work Orders, Lease Agreements, and other contractual documents
- Ensure data integrity in supply planning and execution systems related to infrastructure supply options including cost, capacity, key dates, and contractual terms.
- Managing and manipulating complex data sets utilizing multiple analytical tools.
- Develop and oversee the implementation of continual process improvement initiatives related to operational efficiency, team effectiveness and new value added activities.
- Apply analytics and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets
- Build rich data visualizations to tell the story of trends, patterns, and outliers. Test and challenge assumptions around DCSS scenario planning, sensitivity analysis, supply/demand planning, business size, and profitability - making recommendations for supply health and supportability activities or improvements to existing structures and frameworks.
- Design automated BI solutions for recurrent reporting (daily/weekly/monthly).
- Design data pipelines and automated processes which enable in-depth analysis.
- Publish, analyze and improve dashboards, operational business metrics decks and key performance indicators
- Building automation models for our long-term and mid-term capacity planning processes
- Develop key processes relating to business intelligence and supply matters. Support training of all supply related tooling, key processes and modeling.
- Able to incorporate Artificial intelligence (AI) programs to drive automation and build further efficiency in the organization.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Previous experience in Supply and demand planning, analytics, data engineering or business intelligence.
- Experience using SQL, Python or scripting language, ETL and databases in a business environment with large-scale, complex datasets.
- Experience with data visualization, sensitivity analysis, scenario planning activities etc (PyPlot, Tableau, Salesforce, AWS QuickSight or similar tools)
- Experience writing SQL scripts, queries, and stored procedures to extract data.
- Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations.
Preferred Qualifications
- Experience as a Business Intelligence Engineer, Data Engineer, Business Analyst, Data Scientist, or equivalent.
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets
- Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/planning, or related technical field.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.
**We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunity fostering an inclusive environment where diversity makes us be outstanding.**
Help us lead one of the world's largest pharmaceutical companies. We are a world leader in plasma-derived medicines with a presence in more than 100 countries, and a growing global team of over 20.000 people. That's why we need a _Pharmacovigilance Data Analysis Manager_ like you.
Role Mission: Provide operational support for global pharmacovigilance activities related to Grifols' investigational and marketed products. Ensure high-quality pharmacovigilance deliverables that comply with global regulatory reporting timelines. Manage project implementation and execution of safety systems, including ongoing business support and continuous improvement initiatives. Act as a key liaison with IT system administrators to validate and test system changes, ensuring compliance and alignment with business needs.
**What your responsibilities will be**
+ Lead and coordinate safety data analysis for aggregate reports preparation, signal management and ad hoc requests.
+ Support drug safety systems through business administration tasks, including database configuration updates, submission rules management and testing with regulatory authorities.
+ Serve as a subject matter expert in delivering and evaluating cost-effective, sustainable solutions that meet business requirements.
+ Manage documentation related to PV systems and applications, including SOPs, WPs, user requirements, functional/ technical specifications and process flow diagrams.
+ Drive change management initiatives to ensure smooth adoption of new processes and support the integration of new applications within the PV team.
+ Collect, prioritize and plan system improvements based on user feedback, while ensuring compliance with regulatory requirements.
+ Act as the primary PV contact for IT-related PV projects.
+ Drive Innovation through AI in Pharmacovigilance: Stay at the forefront of artificial intelligence advancements to identify and evaluate innovative technologies and processes that can enhance pharmacovigilance operations. This includes proactively assessing AI-driven tools and methodologies to improve signal detection, case processing, data analysis and regulatory compliance. Collaborate cross-functionally to pilot and implement solutions that increase efficiency, accuracy, and strategic value in safety monitoring.
**Who you are**
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
+ You have a bachelor's degree in Health Sciences (pharmacy, nursing, medicine, veterinary, etc) or Bioscience (biochemistry, biotechnology, biology, etc). Additional training and/or experience in bioinformatics/biostatistics or data analysis tools (such as R or Power BI).
+ You have at least 4 years of pharmacovigilance experience including management of pharmacovigilance data bases.
+ You have proven knowledge of Good Pharmacovigilance Practices; existing legislation, regulations, guidelines, medical coding and safety-data administration.
+ You are proficient in Windows and MS Office (Excel, PowerPoint, Visio, Word).
+ Familiarity with reporting tools such as Business Objects is strongly preferred.
+ You have knowledge of E2b (R2) and E2b (R3) and to be familiarity with medical terminology, MedDRA, WhoDrug are a plus.
+ You speak fluent Spanish and English.
+ You are proven self-starter with strong work ethic and the ability to exercise good judgment.
+ You must be proactive, results oriented and have strong attention to detail.
+ Strong organizational, analytical and problem-solving skills with the ability to make structured decisions on a routine basis.
+ Strong interpersonal skills with the ability to interact and collaborate with personnel at all levels in a team environment.
+ You possess strong technical writing and communication skills with ability to create and present design proposals, test scripts, execute training sessions and conduct effective meetings.
+ Ability to effectively prioritize and manage multiple tasks to ensure successful completion targeted deadlines.
**What we offer**
It is a brilliant opportunity for you, Grifols is fully aware that its employees are one of its major assets. We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.
Information about Grifols is available at If you are interested in joining our company and you have what it takes for such an exciting position, then don't hesitate to apply!
We look forward to receiving your application!
**We believe in diverse talent and want to remove any barriers that may hinder your participation. If you require any adjustments in our selection process, please do not hesitate to inform us when applying. We are here to help.**
Grifols is an equal opportunity employer.
**Flexible schedule:** Monday-Thursday 7-10 to 16-19h and Friday 8-15h (with the same flexible start time).
**Benefits package**
**Contract of Employment:** Permanent position
**Flexibility for U Program:** Hybrid
**Location:** Sant Cugat del Vallès (preferably) / Other locations as Los Angeles, Clayton or Dublin will be considered
more about Grifols
**Req ID:** 531655
**Type:** Indefinido tiempo completo
**Job Category:** I + D

Are you insatiably curious, deeply passionate about the realm of databases, analytics and data platforms, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as Digital Cloud & AI Solution Engineer - Database, Analytics and Data Platforms for mid-market customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
Databases & Analytics is a growth opportunity for Microsoft Cloud & AI, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Cloud & AI Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
At Small Medium Enterprises and Channel (SME&C), we are leading a high-growth, AI-powered global sales team-one that is deeply connected to our partners and driven by customer success. By uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry's most significant investments. Leveraging the power of AI and our extensive partner ecosystem, we are redefining how businesses of all sizes adopt technology to drive growth and innovation.
SME&C is more than a sales organization-it's a culture of innovation, opportunity, and inclusivity. Here, you'll be part of a diverse, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning fuel everything we do.
If you thrive in a fast-paced, digital-first environment and are eager to make a meaningful impact, explore how SME&C can be the next step in your career. Together, we are shaping the future of business.
As an Innovative Database, Analytics and Data Platform Digital Solution Engineer (DSE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Azure SQL and Fabric Data Platform, including Cloud & AI Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
This opportunity will allow you to:
+ Accelerate your career growth by leading impactful engagements that help customers modernize their data platforms and adopt cutting-edge cloud and AI technologies.
+ Deepen your technical proficiency through hands-on solution design, architecture workshops, and real-world deployment scenarios.
+ Develop strategic influence by guiding customers through secure, scalable data solutions and shaping key technical decisions.
+ Strengthen your collaboration skills by working closely with engineering teams, platform specialists, and customer stakeholders.
+ Build future-ready capabilities through immersive learning, certifications, and continuous exposure to Microsoft's evolving data and analytics ecosystem.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep proficiency in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Cloud & AI Databricks, Purview Data Governance and Cloud & AI Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow proficiency in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ Solid technical pre-sales or technical consulting experience 
+ Bachelor's or Master's Degree in Computer Science, Information Technology, or related field AND technical pre-sales or technical consulting experience 
+ Proficienton Cloud & AI Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Proficienton Cloud & AI Analytics (Fabric, Cloud & AI Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .