As a Senior Insights Analyst, you will serve as a strategic analytics partner to Reuters Editorial, Product, Agency Sales, and AI teams. You will transform complex data into clear, actionable insights that improve content performance, customer engagement, product strategy, operational efficiency, and business outcomes.
About the Role- Partner with Editorial, Product, Sales, AI, Technology, Data Science, Customer Success, and Commercial teams to support strategic decision-making.
- Analyze large-scale structured, semi-structured, and unstructured datasets, including content, text, metadata, customer usage, digital product, and operational data.
- Identify trends, opportunities, risks, anomalies, and measurable business impacts across products, workflows, and customer segments.
- Develop and maintain KPI frameworks, dashboards, executive reporting, and self-service analytics solutions.
- Define success metrics, measurement methodologies, and reporting standards for products, workflows, automation, and AI-enabled initiatives.
- Conduct exploratory, descriptive, diagnostic, and predictive analysis to answer complex business questions.
- Use advanced analytical approaches such as NLP, text mining, semantic search, metadata analysis, classification, clustering, forecasting, anomaly detection, and machine learning where appropriate.
- Leverage AI-powered tools and Large Language Models—including Microsoft Copilot, ChatGPT, Claude, and Gemini—to improve research, analysis, reporting, and insight-generation workflows.
- Design and execute benchmarking studies, proof-of-concept analyses, product evaluations, and performance assessments for emerging technologies and business initiatives.
- Monitor product adoption, customer usage patterns, metadata quality, productivity gains, workflow efficiency, and business outcomes.
- Perform detailed content and metadata quality assessments to identify data gaps, inconsistencies, anomalies, and opportunities for improvement.
- Build scalable analytical processes and reporting frameworks that enable stakeholders to access timely, reliable insights independently.
- Translate complex technical analyses into concise, executive-level recommendations and compelling data stories.
- Ensure data integrity through validation, governance, quality assurance, and ongoing monitoring processes.
- Support ad hoc business questions, operational reporting, and strategic projects with accuracy, speed, and attention to detail.
- Continuously improve analytics methodologies, reporting automation, and insight-generation capabilities.
About You
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, Information Management, or a related analytical discipline.
- At least 5 years of experience in analytics, business intelligence, data science, insights, or a related field.
- Strong experience working with large-scale datasets, including content, metadata, customer behavior, usage metrics, digital product analytics, or operational data.
- Advanced SQL skills and proficiency in Python, R, or similar analytical tools.
- Experience building dashboards, KPI reporting, and executive-level visualizations using Tableau, Power BI, Looker, or similar BI platforms.
- Proven ability to translate business questions into measurable analytical frameworks, KPIs, and actionable insights.
- Experience collaborating with multiple stakeholder groups, including product, commercial, technology, editorial, and customer-facing teams.
- Strong written and verbal communication skills, with the ability to explain technical findings to non-technical audiences.
- Experience using AI-powered productivity and analytics tools to enhance reporting, research, analysis, and workflow efficiency.
- Experience in content analytics, metadata analysis, customer usage analytics, digital product performance, or large-scale business data environments.
- Experience applying advanced analytics techniques such as NLP, text analytics, classification, clustering, forecasting, anomaly detection, semantic search, or machine learning.
- Familiarity with Generative AI and LLM tools such as Microsoft Copilot, ChatGPT, Claude, and Gemini.
- Understanding of AI evaluation methodologies, AI adoption measurement, prompt engineering, Retrieval-Augmented Generation (RAG), and semantic search concepts.
- Experience developing KPI frameworks and success metrics for products, workflow optimization, automation, or AI-enabled solutions.
- Familiarity with cloud data platforms, data warehouses, and modern analytics ecosystems.
- Knowledge of Reuters, financial news, information services, media, or other content-driven business environments.
- Strong problem-solving ability, intellectual curiosity, and attention to detail.
- Ability to work effectively with structured, semi-structured, and unstructured data.
- Strong dashboard design and data storytelling skills, with the ability to create interactive reports that clearly communicate insights.
- Collaborative team player with a proactive, flexible, and solutions-oriented mindset.
- Ability to manage changing priorities and deliver accurate work under deadlines.
- Interest in news, current affairs, media industry trends, digital products, and emerging technologies.
- Demonstrated ability to learn new tools, technologies, and business domains quickly.
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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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More information about Thomson Reuters can be found on thomsonreuters.com.
Skills Required
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, Information Management, or a related analytical discipline
- At least 5 years of experience in analytics, business intelligence, data science, insights, or a related field
- Experience working with large-scale structured, semi-structured, and unstructured datasets
- Advanced SQL skills
- Proficiency in Python, R, or similar analytical tools
- Experience building dashboards, KPI reporting, and executive visualizations using Tableau, Power BI, Looker, or similar BI platforms
- Ability to translate business questions into measurable analytical frameworks, KPIs, and actionable insights
- Experience collaborating with product, commercial, technology, editorial, and customer-facing teams
- Strong written and verbal communication skills for explaining technical findings to non-technical audiences
- Experience using AI-powered productivity and analytics tools
- Experience in content analytics, metadata analysis, customer usage analytics, digital product performance, or large-scale business data environments
- Experience applying NLP, text analytics, classification, clustering, forecasting, anomaly detection, semantic search, or machine learning
- Familiarity with Generative AI and LLM tools including Microsoft Copilot, ChatGPT, Claude, and Gemini
- Understanding of AI evaluation methodologies, AI adoption measurement, prompt engineering, Retrieval-Augmented Generation, and semantic search
- Experience developing KPI frameworks and success metrics for products, workflow optimization, automation, or AI-enabled solutions
- Familiarity with cloud data platforms, data warehouses, and modern analytics ecosystems
- Knowledge of Reuters, financial news, information services, media, or other content-driven business environments
- Strong problem-solving ability, intellectual curiosity, and attention to detail
- Strong dashboard design and data storytelling skills
- Ability to manage changing priorities and deliver accurate work under deadlines
- Interest in news, current affairs, media industry trends, digital products, and emerging technologies
- Ability to learn new tools, technologies, and business domains quickly
Thomson Reuters Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thomson Reuters and has not been reviewed or approved by Thomson Reuters.
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Flexible Benefits — Flexible work options such as hybrid schedules and “Flex My Way” with Work From Anywhere allowances (including limited weeks abroad) are offered and positioned to support work-life balance. Feedback suggests policy-backed flexibility is a notable strength even though application can vary by role and manager.
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Leave & Time Off Breadth — Generous paid time off, enhanced bereavement, caregiver leave, two global mental-health days, and a sabbatical program expand time-away options. Paid parental leave is explicitly highlighted, with a global minimum described at 16 weeks.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with wellbeing resources such as EAP, mental-health tools, and fitness/wellbeing programs. FSAs/HSAs and related health benefits reinforce the depth of the healthcare offering.
Thomson Reuters Insights
What We Do
Thomson Reuters (NYSE / TSX: TRI) informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. The company serves professionals across legal, tax, accounting, compliance, government, and media. Its 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. For more information, visit tr.com.
