Growth and Marketing Manager

We are looking for a data-driven Growth and Analytics Associate who combines rigorous analytical thinking with hands-on acquisition experiment execution. You will sit at the intersection of performance marketing and product analytics, uncovering drop-offs, optimising Meta ad campaigns, and building SQL/Metabase reporting models to directly impact revenue and user retention.

Responsibilities:

• Performance Marketing: Plan, execute, and optimise paid acquisition campaigns across Meta Ads (Facebook and Instagram) with a strong focus on CAC, ROAS, and retention.
• Data and Attribution Modelling: Write SQL queries to extract user cohorts, track full-funnel conversion metrics, and identify behavioural trends across web/app journeys.
• Dashboards and Reporting: Build and maintain actionable Metabase dashboards to provide visibility on growth experiments and operational KPIs.
• Experimentation: Formulate data-backed hypotheses, design A/B test setups (creative variants, landing pages, and audience segments), and analyse statistical outcomes.
• Cross-Functional Collaboration: Partner closely with engineering, product, and creative teams to align data tracking, instrumentation, and campaign assets.

Requirements:

• Analytical Mindset: High problem-solving ability with a knack for breaking ambiguous business problems into structured, quantitative questions.
• Tooling Proficiency: Working knowledge of SQL (joins, aggregations, cohort queries) and dashboarding tools such as Metabase, Tableau, or Power BI.
• Ad Platform Exposure: Familiarity with Meta Ads Manager, understanding audience targeting, pixel/CAPI tracking, and campaign optimisation metrics.
• Data Comfort: Solid grasp of core growth metrics (CAC, LTV, Retention, CTR, Conversion Rate).
• For Freshers: Demonstrated curiosity through academic projects, analytical internships, or self-directed coursework in SQL and performance analytics.

Nice-to-Haves:

• Experience with event analytics tools (Mixpanel, PostHog, or Amplitude).
• Basic understanding of Python or R for exploratory data analysis.
• Prior experience in consumer tech, mobile apps, or D2C startups.