4 Data Product jobs in Ireland

**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

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together.**
As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter.
We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams.
The Senior Data Scientist will be part of the Advisory Board, which helps health care leaders across the health care ecosystem work smarter and faster through provocative insights, actionable strategies, and practical tools to support execution. This individual will possess strong analytical and critical thinking skills as well as a passion for innovation. The data scientist will partner with leaders on the Quantitative Insights (QI) team to identify opportunities for methodological improvement, independently develop and iterate on complex models, and ensure ongoing quality of our analytical offerings.
**Schedule** : Full-time position with standard working hours of Monday - Friday, standard business hours. There will be a requirement to be flexible due to working with a Global Team.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Letterkenny or Dublin office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ **Product innovation:**
+ Identify opportunities for improvement in analytical tools and research methodologies
+ Serve as an expert resource to Advisory Board researchers, data analysts, and engineers
+ Scope and project manage work to deliver on tool enhancements and research initiatives
+ Partner with engineers and developers to build analyses into scalable tools and data pipelines
+ Prototype new products and solutions
+ Maintain familiarity with the state-of-the-art around big data analytics and associated technologies and techniques
+ **Data analysis and modeling:**
+ Use AI/ML methods to develop scalable analytical tools and research
+ Develop numerical/statistical programs to support analytical and research work
+ Analyze large healthcare datasets (e.g. claims, EHR, other)
+ Build datasets by connecting tables from across sources
+ **Collaboration**
+ Partner with research teams to surface ideas and use data analysis to produce future-oriented insights
+ Act as thought partner to management team on future direction of team and role
+ Be an independent thinker and advocate of data science methods and applications
+ Build and maintain relationships with Optum and UHG colleagues as teams partners on projects and analysis
+ Ability to articulate and paint a vision, with strong communication and presentation skills, as well as strengths in translating highly complex concepts, results, models and technologies in ways that can be understood by a variety of audiences
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications:**
+ Bachelor's degree (or higher) in a relevant subject OR Equivalent experience
+ Proven experience in data analysis and modeling
+ Ability to perform statistical modelling and analysis of datasets
+ Ability to work on AI/ML use cases
+ Background in machine learning and statistics
+ Foundation in data structures and algorithms
+ Extensive programming experience with Python/Pyspark or other analytics languages
+ Ability to write complex SQL queries
+ Experience designing and executing analyses on large data sets
**Preferred Qualifications:**
+ Experience in large-scale data analysis and machine learning
+ Experience with supervised and unsupervised learning methods for model build and deployment
+ Master of Science (or higher) in computer science, Engineering, Statistics, or related field
+ Experience in Redshift, S3, Glue, and other AWS applications
+ Understanding of raw health care claims data, including Medicare and commercial data sets
+ Experience building analytical products
+ Experience with user testing
+ Demonstrated depth of health care knowledge and expertise
**Soft Skills:**
+ Written and oral communication skills
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2023 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMEMEA

Data Operations Lead Data will talk to you if youre willing to listen. In the world of asset management, data has never been more important - the differentiating factor between winning and losing. The big industry players with quite standardised portfolios have expansive systems in place for this. However, the likes of the family office or boutique investment houses with often less vanilla portfolios have, up to now, not really being catered to effectively. Within this gap in the market, a new funds FinTech player has developed a data platform that can bring disparate data streams together to aid performance monitoring, reporting and of course, to inform the investment decision. Your role will be tomanage the intersection between clients and their most optimal data sources. In short, youll be setting up and streamlining how they integrate with banks, pricing providers and other complex portfolio management systems. On top of that, youll be assessing how best to establish an efficient link to the less standard data sets such as private equity valuations or derivatives. Core Competencies At a hands-on level,your bread & butter will be data feeds. That means liaising with technical specialists, assessing if FTP or STFP connections are set up correctly and generally figuring out how the flow of investment data into the platform will work best. To succeed at this will be more about your knowledge of funds, investment products and corporate actions and the investment sphere generally. This means leading the daily operations for data feeds andwhen something breaks down - figuring out how to fix it. Ensuring accuracy, speed and efficiency are core to operations - as they must be. In looking at the bigger picture, your role can be further broken down into 2 main areas - Product and Data Strategy. On the product side, youll betaking the lead on how the platform is set-up and working with clients to design a structure that delivers the type of insights and analytics they need. Youll be assessing both the data inputs that are needed and also how that translates to outputs in the form of reporting deliverables, how it syncs with accounting systems, etc. Further down the road, your focus will includespotting opportunities where the platform can drive automation.Harnessing the power of AI also being very much on the agenda in the firms vision of what the platform can offer. Regarding data strategy, youll be helpingdesign the data model of how the platform integrates with other systems. This will mean mapping out the data processes but more importantly being the go-between to manage relationships between the technical team, the client and data vendors/sources your project management skills & effective handling of all stakeholders both being integral to success for this. Further to this youll also have an eye on the overall data strategy to include improving how data is harnessed, how data quality can be levelled up and just as importantly as all this, how things like data governance and data storage should best work in practice. In terms of skillset, your core competencies here will be service delivery, project management and communication. The platform being a digital transformation tool for these firms means your ability to engage at a senior level to drive buy-in with be key. Your Key Responsibilities oversee the data-feed connections with banks/vendors, co-ordinating their set up, mapping their data model to the platform. ensure high quality, timely data is being effectively delivered every day and building the processes and systems to support this. help design the data model required to support investment reporting and financial/tax reporting for complex assets (PE, derivatives, etc). This being a data platform youll be ensuring it integrates well with complex portfolio management and ERP systems. Benefits Bonus | Pension | Significant Equity Stake The Culture & Where you fit in The culture here is super collaborative with everyone pulling in the same direction to create a market-leading product to continue building market share. Thework model can be as hybrid or as office based as you want it to be and youll be trusted to manage your own schedule to get the job done however you see fit. You dont necessarily need to be super technical for this on the data side, rather youll act as an effective conductor to an orchestra of data specialists, developers, the product team and clients. What you bring to the table is a strong knowledge of investment types in the funds/asset management industry. Added to this youll offer an in-depth understanding of how these all feed in to building an accurate investment valuation that can be delivered in a repeatable fashion to set deadlines. Your mindset will definitely be one that is data-driven, and you see analytics, automation and AI as the future! Please do send on whatever version of your CV you have at hand and would be happy to have a call to discuss in more detail from there.