Bengaluru, Karnataka, India
Business/BI Analyst who turns messy data into clear decisions and actionable KPIs. Core stack: SQL, Python (Pandas/NumPy), Excel (advanced), Power BI, Tableau, Looker Studio. Workflow automation: Google Apps Script and n8n to automate data pulls, quality checks, alerts, and reporting pipelines. Generative AI & Prompt Engineering: Use LLMs to speed analysis write-ups, create consistent insights/explanations, and standardize recurring analytics prompts. Productivity/PM with Notion AI: PRD/BRD templates, AI meeting notes → tasks, Kanban status, stakeholder updates—all in one workspace. Analytics focus: lead-to-sale funnels, cohort & segmentation analysis, forecasting, pricing, A/B testing, KPI design and governance. Business problem-solving: research and competitor analysis, precise problem framing, hypothesis building, and experiment design to guide decisions. Communication & storytelling: translate findings for diverse stakeholders through concise narratives, executive dashboards, and next-step recommendations. Working style: fast cycles, reproducible notebooks/SQL, documented logic, and measurable outcomes.
Built executive dashboards in Power BI and Looker Studio tracking the full funnel (Leads → Calls → Wins) with star-schema models, DAX time-intelligence. Partnered with Sales/Marketing to define a unified KPI and anchored the weekly MBR with consistent, self-serve views. Created curated datasets using Power Query and SQL views; standardized refresh schedules, improved reliability, and reduced ad-hoc reporting effort. Automated reporting workflows with Google Apps Script and n8n (data pulls, data-quality checks, Slack/Email alerts), enabling near real-time updates without manual intervention. Integrated multi-source data (CRM, GA4, ad platforms, Sheets, MySQL) and implemented UTM standards/deduping rules for clean, comparable performance metrics. Established lightweight data governance (data dictionary, metric definitions, dashboard ownership, access reviews) to prevent metric drift. Delivered self-serve Looker Studio templates for region/product/owner cuts; trained non-technical stakeholders to explore and export insights safely. Translated business questions into measurable experiments and metrics; produced pricing, forecasting, and segmentation views that informed go-to-market decisions.
Analyzed and interpreted complex datasets to develop actionable business insights, enhancing decision-making for marketing and sales strategies. 2. Collaborated with cross-functional teams, integrating marketing, sales, and product development efforts to align with overall business objectives and optimize outcomes. 3. Designed and implemented advanced data visualization dashboards using Power BI and Tableau, improving reporting efficiency and stakeholder engagement