About the Role Data Analyst 2 to 5 years Full Time We are hiring a sharp, analytically rigorous Data Analyst who thrives at the intersection of data engineering, automation, and business storytelling. This is not a pure reporting role. You will architect automated data pipelines, build scalable reporting workflows, and bring a growth marketing mindset to every analysis. If you love turning messy data into clear decisions, this is your seat. Key Responsibilities SQL and Data Infrastructure Design and maintain complex, high-performance SQL queries across PostgreSQL, MySQL, and MongoDB that power daily business decisions. Build and own data models that structure raw datasets into clean, analytics ready layers for BI tools and downstream teams. Spot data gaps, anomalies, and inconsistencies proactively and work closely with engineering to resolve them before they become business problems. Automation and Pipeline Engineering Build automated reporting workflows that push query outputs directly into Google Sheets, dashboards, or BI tools with minimal manual intervention. Own end to end data delivery from raw query to polished dashboard ensuring real time visibility into business metrics across teams. AI and Smart Automation Use AI tools thoughtfully to automate insight generation, summarize data trends, and reduce repetitive analytical tasks. Explore automation workflows to surface insights faster and reduce analyst bottlenecks across teams. Apply AI assisted scripting to scheduled or event driven reporting tasks where they add genuine value. Marketing and Growth Analytics Track multi channel campaign performance across paid, organic, and owned channels measuring ROI, attribution, and incremental impact. Analyze audience behavior, funnel drop offs, and conversion patterns to surface actionable growth insights for the marketing team. Support A/B tests, cohort experiments, and growth initiatives defining metrics, setting up tracking, and delivering clear post analysis readouts. Build and maintain marketing dashboards that give the growth team real time visibility into campaign and channel health. Cross Functional Insight Delivery Partner with Operations, Finance, Product, and Marketing to translate open ended business questions into reliable, reproducible analyses. Own ad hoc and recurring analysis including cohort studies, funnel health, retention trends, LTV modeling, and operational KPIs. Communicate findings clearly and concisely, tailored to the audience whether that is a 5 slide exec summary or a detailed breakdown for a product team. Must Have Skills Advanced SQL proficiency across PostgreSQL, MySQL, and similar databases including window functions, CTEs, query optimization, and schema design. Strong experience automating data workflows pushing query outputs to Google Sheets, dashboards, or downstream tools with minimal manual effort. Experience with scheduled and event driven data processing using orchestration tools. Solid understanding of data modeling and structuring datasets for analytics consumption. Comfortable navigating large, messy, and ambiguous datasets to answer open ended business questions. Proficient in Excel and one or more BI tools such as Metabase, Power BI, Tableau, or Looker Strong grasp of business KPIs and ability to derive and communicate insights from raw data with minimal hand holding. Familiarity with AI assisted tools and willingness to use them as a real productivity lever in analytical workflows.