Senior Data Analyst – Growth & Marketing

Senior Data Analyst – Growth & Marketing

Location: Remote within India (Bengaluru preferred)Experience: 3–5 years | Full-timeAbout the roleDataNest is looking for a Senior Data Analyst to own growth and marketing analytics in a fast-moving, web- and app-based business.

You will work closely with the Head of Growth and channel owners to turn fragmented marketing data into clear decisions about acquisition, conversion, and profitable growth.We are looking for someone who can take an ambiguous business question, decide what should be measured, investigate what is happening, and recommend what to do next. Strong SQL and reliable datasets are essential; equally important are product sense, independent judgment, and the confidence to challenge a misleading metric or an unsupported conclusion.What you will own

• Partner proactively with growth stakeholders: identify opportunities, frame analytical questions, recommend the right metrics, and translate findings into practical actions and follow-through.
• Bring together spend, acquisition, conversion, and revenue data across Meta, TikTok, Google Ads, affiliate partners, influencers, and organic channels. Explain performance changes and recommend where to investigate or adjust strategy.
• Define and govern metrics such as CAC, CPA, ROAS, conversion rates, funnel drop-off, customer quality, and acquisition cohort value. Make definitions, denominators, attribution windows, and reporting assumptions clear and consistent.
• Analyze landing pages and web/app acquisition funnels by channel, campaign, creative, audience, device, and cohort. Investigate friction and opportunities across paid, organic, SEO, and answer engine optimization (AEO).
• Perform root-cause analysis on unexpected movements, distinguish tracking issues from real business changes, and communicate what is known, uncertain, and worth doing next.
• Understand and apply last-touch (LTA) and multi-touch attribution (MTA). Reconcile marketing-platform, affiliate, analytics, and warehouse reporting, explaining differences and measurement limitations.
• Own trusted marketing datasets and reusable SQL/dbt models connecting spend, clicks, sessions, leads, customers, and revenue at the correct grain. Add tests, documentation, and clear metric definitions so others can use them confidently.
• Own the analytical requirements and validation for event tracking across web and app. Work with engineering and marketing on Segment events and destinations, Meta/Facebook pixels, Google tags, and affiliate integrations such as Impact and Everflow.
• Maintain event taxonomies, campaign/UTM conventions, and tracking quality checks. Set up actionable alerts for missing events, pipeline failures, delayed data, and unusual performance changes.
• Help shape and evaluate A/B experiments across landing pages, acquisition journeys, and campaigns: clarify hypotheses, choose success metrics and guardrails, validate instrumentation, interpret results, and recommend next steps.
• Build useful dashboards and concise performance narratives that drive decisions. Establish a consistent reporting cadence and help stakeholders interpret and use the metrics correctly.
• Take ownership from question through recommendation and delivery, prioritize competing needs, and help guide one or two analysts as the team grows.What you bring
• Approximately 3–5 years of hands-on analytics experience, with meaningful ownership of growth, marketing, or acquisition analytics.
• Strong SQL and practical experience building analytical datasets and dbt models, including joins, data grain, testing, documentation, and version control.
• Working knowledge of paid media, affiliate/influencer measurement, acquisition funnels, attribution, and marketing event tracking. You should be comfortable investigating how data gets collected, not only reading a dashboard.
• Familiarity with Segment and event delivery to marketing platforms; Meta/Facebook pixels, Google tracking, and tools such as Impact or Everflow, or closely comparable systems.
• Experience with a modern data platform such as Snowflake or Databricks, familiarity with AWS, and an understanding of scheduled pipelines and workflows using Airflow, Dagster, or comparable tools.
• Experience with BI and analytical tools such as Domo, Looker, Mode Analytics, or Hex. Python is a plus.
• Sound experimentation fundamentals and the ability to explain whether the evidence supports a conclusion.
• Excellent spoken and written English: communicate clearly with U.S.-based stakeholders, ask good questions, explain trade-offs, and make concise recommendations.
• An independent, curious, adaptable approach. You learn unfamiliar tools quickly, work through ambiguity, and take responsibility for outcomes in a small startup team.Working arrangementThis is a fully remote role based in India, with Bengaluru preferred. Close collaboration with U.S.-based stakeholders requires substantial alignment with U.S. Eastern business hours, approximately within the 8 a.m.–6 p.m. ET window. The exact daily schedule and expectations will be discussed during hiring.When applying, highlight one example where your analysis changed a growth decision: the question, the metric you chose, what you found, and the action taken. We value clear thinking and business impact alongside technical delivery.