📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Thomson Reuters 👥 Experience 5+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Snowflake Power BI GA4 Segment Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI at Thomson Reuters — Full Details & How to Apply Thomson Reuters is hiring a Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI in Bengaluru, Karnataka, India to analyze audience and product data using GA4 , SQL , and Power BI , with a specific focus on data quality and automation. This role is part of Thomson Reuters ’ technology-driven analytics operations and supports real-time decision-making through structured data insights. This Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI role directly contributes to audience behavior analysis and marketing performance evaluation. The position involves using GA4 , SQL , Snowflake , and Power BI to extract, process, and visualize data, ensuring accurate reporting and automated workflows. The responsibilities emphasize data integrity and operational efficiency, which are critical for product and marketing strategy execution. Thomson Reuters recruitment for this role highlights a technology-focused environment where data analysts support audience and product insights. The job is based in Bengaluru, Karnataka, India, and operates under a hybrid work mode. The role is part of Thomson Reuters ’ data analytics team, which relies on technical proficiency in GA4 , SQL , Snowflake , and Power BI to deliver actionable outcomes. 2023, 2024, 2025, 2026 graduates , Any Graduate , and candidates with 5+ years experience are eligible. The salary is Not Disclosed . This position is open to graduates from eligible batches and requires a graduate qualification. Applicants will gain hands-on experience with GA4 , SQL , Snowflake , Power BI , and Segment . This role provides a foundation in data-driven decision-making and offers progression into more complex analytics or product analytics roles within technology organizations. The technical stack is directly aligned with industry-standard tools used in digital analytics. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI jobs , Thomson Reuters recruitment , and Bengaluru, Karnataka, India jobs on our platform. Job Role & Responsibilities The Data Analyst at Thomson Reuters is responsible for translating business objectives into measurable analytics using GA4 , SQL , and Snowflake , ensuring data-driven decisions across product and editorial functions. This role directly supports launch validation and performance tracking with real-time audience metrics. Translate business questions into analytical workflows using GA4 and SQL to extract audience behavior and conversion metrics from structured datasets. Analyze audience engagement and marketing campaign performance using Snowflake to build reusable, scalable metrics with consistent data lineage. Collaborate with Product and Editorial teams to define success measures using GA4 and Segment data to validate KPIs across content and product launches. Validate analytics pipelines in GA4 and Segment by comparing event data against known baselines and identifying data drift or anomalies. Automate recurring QA checks and report generation using Python scripts, with human review for accuracy on all outputs derived from SQL queries. Build decision-ready reports in Power BI using governed datasets from Snowflake to deliver actionable insights to stakeholders. Monitor data quality across GA4 and Segment by tracking event completeness, sample rate, and data freshness metrics daily. Document analytical processes and data sources in a centralized repository to ensure traceability and reproducibility of all SQL and Power BI outputs. This role demands full ownership of end-to-end analytics pipelines, with direct impact on product performance, editorial content visibility, and marketing ROI through validated GA4 and Snowflake outputs. Required Skills & Technical Competencies The role requires a strong technical foundation in data querying, analytics tooling, and automation, with specific proficiency in Python , SQL , Snowflake , GA4 , and Segment . These skills are applied in real-world data workflows to deliver accurate, timely, and actionable insights. Technical Skills Python — essential — used to automate data cleaning, report generation, and QA checks, with scripts validating SQL query outputs in Power BI dashboards. SQL — intermediate to advanced — used to query large datasets in Snowflake , extract audience behavior, and build reusable metrics for product performance analysis. Snowflake — advanced — used to manage governed datasets, perform data integration, and ensure consistency across GA4 and Segment event pipelines. GA4 — intermediate — used to track user journeys, conversion paths, and audience segmentation, with direct validation against Segment event data. Segment — intermediate — used to validate event data flow, monitor data completeness, and cross-check with GA4 for consistency. Power BI — intermediate — used to build interactive dashboards from Snowflake datasets, enabling stakeholders to explore audience performance metrics. When showcasing these skills, emphasize specific SQL queries, Power BI report structures, and Python automation scripts used in real projects — avoid general statements and focus on measurable outcomes. Eligibility Criteria This role is designed for candidates with a graduate degree in any discipline and at least 5 years of professional experience in data analysis, with a strong technical background in SQL , Snowflake , and analytics tools. It is not suitable for freshers or those without prior industry exposure. Must hold a graduate degree from any recognized university. Eligible only for batches: 2023 , 2024 , 2025 , and 2026 . Minimum of 5 years of professional experience in data analysis or related domains. No CGPA or academic performance threshold is specified. Portfolio or project experience is not required but must demonstrate real-world use of SQL , Snowflake , and GA4 in analytics workflows. Must have hands-on experience with Python scripts for data automation and validation. Documentation & Portfolio Requirements Your resume must include a clear section listing specific SQL queries, Power BI dashboards, and Python scripts used in past projects, with data sources and outcomes clearly documented. For this role, prioritize demonstrating SQL queries that extract audience metrics from Snowflake , and Python scripts that validate GA4 event data — include sample outputs and business impact to show technical depth and real-world application. Salary for Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI at Thomson Reuters 💰 Compensation Not Disclosed The advertised compensation for the Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI role at Thomson Reuters is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI Upskilling with the right resources significantly enhances your chances of selection for this specific role. Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. SQL — Critical for querying databases and managing data effectively. Power BI — Important for data visualization and reporting tasks. KodNest — Useful for practical projects and hands-on experience in data analytics. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in GA4 or SQL — Include specific projects that showcase your expertise. ❌ Using a generic resume — Tailor your resume to the responsibilities outlined in the job posting. ❌ Listing technologies like Snowflake without context — Provide details on how you utilized these technologies in previous roles. ❌ Ignoring the requirement for 5+ years of experience — Ensure your resume reflects this essential eligibility. ❌ Adding unrelated technologies or unsupported claims — Stick to relevant skills and experiences to avoid keyword stuffing. ❌ Failing to verify the official Apply URL — Always check the link and job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Analyst GA4 SQL Snowflake Power BI Python Audience Analytics Product Analytics Marketing Performance Data Quality Automation KPI Resume Tips for This Role Highlight the 5+ years of experience prominently on your resume as it is a key requirement. Emphasize skills in GA4 , SQL , and Snowflake , as these are critical for the role. Showcase a project that involved data analysis using Python or SQL to demonstrate relevant experience. Use exact keywords from the job description naturally to align with ATS requirements without keyword stuffing. Avoid adding unsupported claims about skills or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated skills or experiences that do not align with the job requirements. How to Apply for Data Analyst - GA4, SQL, Snowflake, Tablue/PowerBI at Thomson Reuters Apply Now — Thomson Reuters Open the official Apply URL and confirm the job title and company details match the position you're applying for. Prepare a resume that highlights your experience and skills in GA4 , SQL , Snowflake , and Power BI /Tablue, aligning with the job responsibilities and qualifications. Complete the official application form accurately, providing truthful and supported information—avoid unsupported claims or exaggerations. Submit the application and save the confirmation message or application reference number if provided by the portal. Record the date of submission and monitor your registered email or the company’s official job portal for updates. Applications are reviewed on a rolling basis—early submission is recommended to increase your chances of being considered. Apply Now — Thomson Reuters NexisGrow.com does not charge any fees for job applications. Thomson Reuters Thomson Reuters is a technology company based in Bengaluru, Karnataka, India. This Data Analyst role operates in a hybrid work mode and supports audience and product analytics within the technology industry. The team analyzes audience behavior, app and site experience, subscriptions, and marketing performance. They build reusable metrics, deliver decision-ready reporting, and validate analytics for launches using GA4 , Segment , and Snowflake . This role contributes to the semantic layer, KPI catalogue, and self-service tools, enabling cross-functional teams to make data-driven decisions. Early-career professionals gain hands-on experience with Python , SQL , Snowflake , Power BI , and GA4 —tools that support real-world analytics and decision-making in a tech environment. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 thomsonreuters.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with any graduate degree and 5+ years of experience from the eligible batches of 2023 to 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer GA4, SQL, Snowflake, Power BI, and Python are the most important technical skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review GA4 and SQL concepts. 2. Prepare examples of audience analysis. 3. Familiarize with Snowflake and Power BI. 4. Understand the role's responsibilities. 5. Practice clear communication of findings. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The work mode is hybrid, allowing for both remote and onsite work. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to audience and product analytics, data quality monitoring, and collaboration with multiple teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in GA4, SQL, Snowflake, and Python, along with relevant experience in data analysis and reporting. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with Product, Editorial, Marketing, Commercial, and Technology teams. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 5+ years. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Thomson Reuters Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com