Thomson Reuters Data Analyst Job Alerts | Bengaluru & Hyderabad – WFH (Hybrid)

Qualifications

• Bachelor’s degree
• Minimum of 3+ years work experience (preferably in large organizations)
• Able to support multiple businesses/segments/functions/projects all at once.
• Careful planning to achieve accurate and timely results.
• Ability to analyze large datasets and derive meaningful insights.
• Eye for Detail.
• Ability to work with Global teams.
• Ability to work with multiple stakeholders
• Self-motivated/result oriented/open to learning new technologies.
• Good knowledge of Finance and Accounting.
• Capable of presenting complex data in an understandable and actionable way to stakeholders.Expertise in data analysis tools like Excel, SQL, Tableau, Power BI, Business Objects, and customer relationship management (CRM) systems. (2+ years of experience in Power BI, SQL, Tableau).

Job Description:

• Data Analyst in Business Analytics and Decision Science team will be primary point of contact for stakeholders in the business, providing day-to-day analytics support for our stakeholders in Print, Customer-to-Cash, Customer Support, and beyond.
• Solves business problems using a wide array of data and tools. He/ She will be responsible for gathering, analyzing, and interpreting data to provide actionable insights to Leadership Teams.
• This role will support the multiple tactical activities required to solve business problems by liaison among stakeholders and internal team – mainly Data Foundation, Data Science and AI and Reporting and Data Visualization.
• In addition, the successful candidate will support the financial planning, reporting, forecasting, and analytics efforts to support Collections team and Divestitures projects.

About the Role:

• Timely preparation of Management review decks and follow through on the decisions taken
• Ensure all divestiture-related data is delivered promptly to stakeholders – including support of Transition Service Agreement obligations
• Collect data from a variety of systems/ tools/ sources and publishes dashboards
• Work with Stakeholders/ SME’s to translate business problems and customer requirements into tactical solutions with guidance
• Effectively design scalable solutions to address business problems with guidance and liaise Data Foundation, Data Science and AI and Reporting and Data Visualization teams to automate and launch those solutions
• Uses tools like Excel, SQL, or data visualization software (e.g., Tableau, Power BI) to analyze data
• Ideate and implement general process improvements/standardization opportunities