Senior Analytics Engineer

You will be joining Memorae as a Senior Analytics Engineer, part of the Data Growth Team, reporting directly to the Data Growth Lead. You will play a crucial role in driving growth at Memorae by creating and maintaining growth analytics dashboards, automating reporting pipelines, and leveraging agentic AI tools to transform raw data into actionable insights. **Key Responsibilities:** - Design, build, and maintain growth analytics dashboards to track acquisition, activation, retention, and monetization metrics across all channels. - Develop and automate financial and operational reporting pipelines including ARR, MRR, LTV, CAC, ROAS, payback period, and cohort analysis. - Build and operate data pipelines using APIs such as Stripe, Meta Ads, Google Ads, Mixpanel, and internal systems. - Utilize agentic AI tools like Claude Code, Python-based AI agents, and LLM-assisted analytics to accelerate data workflows and automate repetitive analysis. - Create investor-grade metric packages for Series A preparation and board reporting. - Collaborate with Growth, Product, Engineering, and Finance teams to define KPIs, set targets, and monitor performance. - Conduct deep-dive analyses on user behavior, funnel performance, and experiment results to inform growth strategy. - Own data quality, documentation, and governance within the growth analytics stack. **Requirements Must Have:** - 3+ years of professional experience in data analytics, analytics engineering, or a related data role. - Advanced proficiency in SQL, including complex queries, window functions, CTEs, and performance optimization. - Strong hands-on experience with dashboarding tools like Metabase, Looker, Tableau, Power BI, or equivalent. - Experience working with APIs for data extraction and pipeline automation, such as REST APIs, webhooks, and OAuth. - Proficiency in Python or R for data analysis, scripting, and automation. - Solid understanding of SaaS/subscription financial metrics and modern data stack tools. - Strong communication skills to translate data into actionable business insights for non-technical stakeholders. **Strong Plus:** - Hands-on experience with agentic AI tools and workflows like Claude Code, GPT-based agents, LangChain, or similar. - Experience with Stripe API, Meta Ads API, Google Ads API, and product analytics platforms. - Exposure to growth engineering, growth hacking methodologies, and statistical methods for experimentation. You will be offered a competitive salary aligned with top-tier New Delhi market benchmarks, equity participation, a merit-based career path, exposure to C-level strategy, hybrid work format, a cutting-edge tech stack, and the opportunity to build the analytics foundation of a category-defining AI product. You will be joining Memorae as a Senior Analytics Engineer, part of the Data Growth Team, reporting directly to the Data Growth Lead. You will play a crucial role in driving growth at Memorae by creating and maintaining growth analytics dashboards, automating reporting pipelines, and leveraging agentic AI tools to transform raw data into actionable insights. **Key Responsibilities:** - Design, build, and maintain growth analytics dashboards to track acquisition, activation, retention, and monetization metrics across all channels. - Develop and automate financial and operational reporting pipelines including ARR, MRR, LTV, CAC, ROAS, payback period, and cohort analysis. - Build and operate data pipelines using APIs such as Stripe, Meta Ads, Google Ads, Mixpanel, and internal systems. - Utilize agentic AI tools like Claude Code, Python-based AI agents, and LLM-assisted analytics to accelerate data workflows and automate repetitive analysis. - Create investor-grade metric packages for Series A preparation and board reporting. - Collaborate with Growth, Product, Engineering, and Finance teams to define KPIs, set targets, and monitor performance. - Conduct deep-dive analyses on user behavior, funnel performance, and experiment results to inform growth strategy. - Own data quality, documentation, and governance within the growth analytics stack. **Requirements Must Have:** - 3+ years of professional experience in data analytics, analytics engineering, or a related data role. - Advanced proficiency in SQL, including complex queries, window functions, CTEs, and performance optimization. - Strong hands-on experience with dashboarding tools like Metabase, Looker, Tableau, Power BI, or equivalent. - Experience working with APIs for data extraction and pipeline automation, such as REST APIs, webhooks, and OAuth. - Proficiency in Python or R for data analysis, scripting, and automation. - Solid understanding of SaaS/subscription financial metrics and modern data stack tools. - Strong communication skills to translate data into actionable business insights for non-technical stakeholders. **Strong Plus:** - Hands-on experience with agentic AI tools and workflows like Claude Code, GPT-based agents, LangChain,