The Senior Data Analyst is a pivotal role responsible for implementing and maintaining digital employee experience (DEX) and workplace technology analytics to continuously measure and improve employee experience and adoption.
About the Role:
In this opportunity as a Senior Data Analyst, you will:
- You will work on a range of strategic, highly visible projects with employee technology and adjacent functions, designing and implementing the analytics ecosystems, which enables organisational transformation.
- You will work on a range of strategic, highly visible projects with employee technology and adjacent functions, designing and implementing the workplace technology data and analytics ecosystem. You transform how we create and leverage data assets to enhance digital dexterity and foster an AI-enabled workforce.
- You are empathetic, tech-savvy, keen to explore problem-solving and you have strong data warehouse engineering and data visualization skills. This role relies on critical relationships and collaboration with business and enterprise technology colleagues to identify and eliminate digital friction. Applying rigorous methods, you continuously look for ways draw meaningful conclusions from qualitative and quantitative employee research.
Architect and build analytics‑optimized data models in Snowflake, leveraging star schema and dimensional modeling to support enterprise semantic layers.
Design, develop, and orchestrate robust data pipelines using Snowflake, Snowpipe, dbt, Python, and Apache Airflow to deliver trusted, analytics‑ready data.
Integrate Snowflake with Microsoft Fabric (OneLake) to create a unified enterprise data layer that supports BI, self‑service analytics, and AI/ML workloads.
Build and maintain enterprise semantic models in Fabric / Power BI, enabling consistent metrics, governed self‑service analytics, and sub‑second performance using Direct Lake and advanced DAX.
Develop AI‑ready data backbones that support predictive analytics, machine learning, and LLM‑based use cases, with embedded data quality, observability, and lifecycle considerations.
Partner with analytics, data science, and business teams to enable AI/ML consumption through semantic models, ensuring alignment between features, metrics, and business outcomes.
Explore and analyze diverse datasets to assess data availability, shape analytical datasets, and support experimentation and AI‑driven insights.
Design analytical frameworks and reusable datasets that accelerate insight generation and enterprise decision‑making.
Provide technical leadership and drive initiatives end‑to‑end, from architecture and design through delivery and adoption.
Communicate effectively with stakeholders across engineering, analytics, product, and executive audiences within a global organization.
About You
You're a fit for the Senior Data Analyst, if your background includes:
Candidate should have minimum experience of 6+ years of corporate experience in data engineering, enterprise analytics, or related technical roles.
Strong hands‑on expertise in Snowflake (SnowSQL, Snowpipe), advanced SQL, and Python.
Proven experience with Microsoft Fabric (Lakehouses, OneLake, Notebooks) and Power BI, including enterprise semantic modeling and advanced DAX.
Deep experience designing dimensional and semantic data models that support enterprise reporting, analytics, and AI/ML use cases.
Strong proficiency with dbt and Apache Airflow for building modular, CI/CD‑enabled, production‑grade data pipelines.
Experience delivering end‑to‑end analytics data journeys, from operational source systems through transformation to data lakes and enterprise warehouses.
Hands‑on experience or strong exposure to AI/ML platforms, predictive analytics, and generative AI use cases, including preparing data for LLM consumption.
Ability to design and operate analytics platforms that scale across domains, enabling governed self‑service and advanced insights.
Understanding of Data Strategy and Data Governance processes.
Working knowledge of BI tools such as Power BI and Tableau.
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What’s in it For You?
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
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