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Sobre este puesto de Lead Business Intelligence Analyst (Alteryx) en Thomson Reuters

Thomson Reuters · Híbrido · India, Hyderabad, Telangana

Job Description:


The Lead Business Intelligence Analyst will directly impact sales effectiveness by building the data infrastructure that delivers timely, accurate, and actionable insights to sales leaders and teams. Through scalable data pipelines, robust data models, and automated transformation workflows, the role will ensure opportunity, pipeline, forecast, and performance data is reliable and available across the sales lifecycle, helping teams prioritize activities, improve pipeline health, strengthen forecast accuracy, and track performance against revenue targets. In close partnership with Revenue Operations and its extended teams, the analyst will integrate CRM and other source data into a governed analytics layer, implement data quality checks and monitoring, and automate manual reporting processes. The result is a trusted, performant data platform that enables data-driven decision-making, improves sales execution, and helps the TR Sales Organization maximize productivity and achieve its revenue objectives.



Key Responsibilities: 


  • Design, build, and maintain scalable, automated data pipelines that power Revenue Operations and the broader TR Sales Organization, from ingestion through analytics-ready delivery.
  • Use dbt, Alteryx, and SQL to integrate, transform, standardize, and model data from multiple enterprise sources into reliable, well-documented datasets.
  • Develop reusable data models and transformation workflows with built-in data quality checks, validation, testing, and monitoring to ensure accuracy, consistency, and data freshness.
  • Integrate data from Snowflake, Oracle, and Salesforce, optimizing pipelines and warehouse workloads for performance, reliability, and scalability.
  • Partner with Data Engineering, Sales Operations, Finance, and other stakeholders to translate business requirements into robust data solutions and governed data assets.
  • Consolidate fragmented data environments, automate manual processes, and establish standardized, version-controlled data assets that support pipeline management, forecasting, and sales performance analytics.
  • Deliver and support reporting and analytics on top of trusted datasets, building dashboards and self-service reports in Tableau, Power BI, or Salesforce CRM Analytics that give sales leaders timely, actionable insights.
  • Proactively identify opportunities to improve data processes, adopt emerging technologies, and deliver measurable business value through faster, more reliable data and reporting.
  • Work Mode: Hybrid - 2-3 days from office every week.
  • Shift Timing: 2 pm IST to 11 pm IST



Required Qualifications:


  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • 5–10 years of experience in data engineering, analytics reporting, or business intelligence.
  • Strong hands-on expertise in dbt, Alteryx, and advanced SQL for data transformation, pipeline development, and automation.
  • Proven experience in data integration, ETL/ELT workflows, data modeling, and data quality management.
  • Experience with Snowflake, Oracle, Salesforce, or similar enterprise data platforms.
  • Familiarity with Tableau, Power BI, or Salesforce CRM Analytics.
  • Strong analytical, problem-solving, project management, and stakeholder collaboration skills.
  • Ability to understand sales operations and translate business needs into scalable, reliable data solutions.


Preferred Qualifications:


  • Experience in Revenue Operations, Sales Operations, or commercial analytics environments.
  • Familiarity with Salesforce CRM data and sales performance reporting.
  • Experience with data governance, data quality monitoring, and automated validation frameworks.
  • Knowledge of Snowflake optimization and enterprise-scale data modeling.
  • Experience building dashboards in Tableau, Power BI, or Salesforce CRM Analytics.



#LI-GS2



What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment 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.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

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