| Job Title | Sr Analyst DSA, MMM (Senior Analyst – Data Science & Analytics, Marketing Mix Modeling) |
| Job Requisition ID | 19041141 |
| Company | TransUnion |
| Location | Bengaluru, India |
| Employment Type | Full-Time |
| Work Mode | Hybrid (Minimum 2 days/week in office) |
| Posted On | Today |
| Application End Date | 2 July 2026 (2 days left) |
| Experience Required | 1–3 Years (Quantitative Analytics preferred) |
| Education | Bachelor’s Degree (Mathematics, Statistics, Engineering, Computer Science, Economics, or related quantitative field) |
| Job Purpose | Support data scientists in delivering advanced Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and marketing analytics solutions to improve clients’ marketing effectiveness, ROI, and business decision-making. |
| Key Responsibilities | Analyze marketing and customer data; Assist in Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA); Build analytical datasets; Perform regression, forecasting and statistical analysis; Validate models; Generate business insights and client reports; Translate analytical findings into business recommendations; Collaborate with Data Science, Consulting, Product, Engineering, and Data Operations teams; Maintain quality control and monitor model performance. |
| Core Analytical Areas | Marketing Effectiveness, ROI Analysis, Brand Equity, Channel Effectiveness, Customer Segmentation, Pricing Analytics, Forecasting, Simulation, Optimization, Consumer Journey Analytics. |
| Required Technical Skills | Python (2+ years), SQL, Microsoft Excel, Data Analysis, Statistical Modeling, Data Visualization, Data Validation. |
| Statistical & ML Skills | Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), Logistic Regression, Time Series Analysis, Bayesian Statistics, Ridge Regression, Panel Data Models, Choice Models, Machine Learning, Clustering, Data Mining, Forecasting, Probability Theory, Optimization. |
| Business Knowledge | Marketing Analytics, Digital Marketing Performance, Paid & Organic Media Analysis, Customer Analytics, Marketing ROI Measurement. |
| Soft Skills | Communication, Storytelling with Data, Problem Solving, Stakeholder Management, Cross-functional Collaboration, Time Management, Adaptability, Analytical Thinking. |
| Preferred Experience | 1–3 years in Marketing Analytics, Data Analytics, Business Analytics, Statistical Modeling, or Marketing Science (helpful but not mandatory). |
| Ideal Candidate Profile | A quantitative analyst with strong Python, SQL, Excel, and statistical modeling skills who is interested in marketing analytics, data science, and consulting, and can transform complex data into actionable business insights for enterprise clients. |
