Sr Analyst Data Science Mktg

Overview

Senior Analyst – Data Science on the B2B Marketing Effectiveness team, delivering analytical insights and measurement solutions to improve marketing performance, campaign effectiveness, and business decision-making.

What you'll do

• Own data extraction, cleaning, validation, and preparation for moderately complex analyses.
• Independently scope and execute analyses to address business questions, including ambiguous or multi-step requests.
• Apply exploratory and statistical analysis to identify drivers, trends, and performance opportunities.
• Develop and enhance dashboards and recurring reporting, including metric definitions and quality checks.
• Document analytical assumptions, methodologies, and findings to ensure reproducibility and data accuracy.
• Analyze campaign performance across B2B marketing channels and recommend optimizations based on evidence.
• Assess lead quality, funnel conversion, and campaign contribution across key funnel stages.
• Evaluate marketing initiatives by identifying performance drivers, segment-level differences, and opportunities for improvement.
• Design and analyze A/B tests where appropriate, including success metrics, interpretation, and limitations.
• Translate analytical findings into concise recommendations and communicate trade-offs to stakeholders.
• Partner with marketing and cross-functional stakeholders to clarify business questions and define analytical requirements.
• Work with BI and data teams to strengthen data definitions, consistency, and reporting processes.
• Present findings in team and stakeholder reviews, proactively flagging risks, caveats, and follow-up questions.
• Actively mentor junior analysts through regular analytical guidance, code and output reviews, constructive feedback, and sharing of best practices.
• Coach junior analysts on problem framing, SQL/Python approaches, statistical reasoning, data validation, and communicating findings to stakeholders.
• Review junior analysts' deliverables for analytical rigor and clarity, helping them improve quality and build independence.

What you'll need

• Bachelor's or Master's degree in Statistics, Analytics, Engineering, Computer Science, Economics, or a related quantitative field.
• 4–8 years of experience in data analytics, business intelligence, or related analytical roles.
• Experience independently delivering analytical projects using structured datasets and reporting tools.
• Strong SQL skills, including complex joins, CTEs, window functions, and data validation.
• Proficiency in Python or similar analytical tools for data manipulation, exploratory analysis, and repeatable workflows.
• Experience developing and improving dashboards using Tableau, Power BI, QuickSight, or similar tools.
• Applied understanding of statistical inference, hypothesis testing, experiment analysis, and common analytical limitations.

Nice to have

• Hands-on experience analyzing marketing, CRM, or sales data.
• Exposure to cloud platforms (AWS, GCP, or Azure) and scalable data workflows.

Details

• No formal people-management responsibility.
• Location: Bangalore, Karnataka, India.