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Urgent! Think41 - Data Analyst - Python Job Opening In Bengaluru – Now Hiring Think41

Think41 Data Analyst Python



Job description

<p><p><b>Location : </b> Think41, HSR layout Bangalore <br/><br/><b>Job Type : </b> Full-Time<br/><br/><b>About Think41 : </b><br/><br/>Think41 is an early-stage startup with a mission to build a leading technology consulting firm providing Gen AI Services & Solutions.

Our leadership team previously built HashedIn, a cloud services & solutions company acquired by Deloitte in 2021, now a cornerstone of Deloitte Engineering.

With early funding established, Think41 is looking to assemble an all-star engineering team passionate about Gen AI tools and ecosystems.

<br/><br/><b>Role summary : </b><br/><br/>Support day-to-day retail analytics across sales, margin, assortment, pricing/promotions, inventory and returns.

Build reliable dashboards, write clean SQL/Python, run ad-hoc deep dives, and help evaluate experimentspartnering closely with business, product, and : </b><br/><br/>- Build and maintain executive and team dashboards (Power BI/Tableau/Looker Studio); automate recurring reports; document metric definitions.<br/><br/>- Write performant SQL (joins, window functions, CTEs) and use Python (pandas/NumPy) for wrangling and QC; publish reusable queries/views.<br/><br/>- Run deep dives on price & promo performance, category/basket KPI shifts, stockouts/returns, conversion funnels and cohorts; recommend next actions.<br/><br/>- Assist with A/B and holdout analysesdefine metrics, sanity checks, readouts, and learnings.<br/><br/>- Partner with product/marketing on GA4/GTM tracking; validate tags and reconcile web/app data with warehouse tables.<br/><br/>- Monitor data freshness/accuracy, raise issues, and maintain playbooks/SOPs.<br/><br/>- Under guidance, review low-risk AI-agent suggestions (e.g., minor promo tweaks, exception queues), record rationale, and escalate edge cases.<br/><br/><b>Must-have qualifications : </b><br/><br/>- 23 years in analytics/BI; retail/e-commerce/CPG exposure preferred.<br/><br/>- Strong SQL; solid Excel; experience with at least one BI tool (Power BI/Tableau/Looker Studio).<br/><br/>- Working Python (pandas/NumPy) for data prep and analysis; Git basics helpful.<br/><br/>- Comfort with funnels/cohorts, conversion/AOV, margin basics, and interpreting KPI movements in a retail context.<br/><br/>- Fundamentals of experimentation and descriptive statistics; ability to explain assumptions/limitations.<br/><br/>- Clear communication : concise summaries, structured storytelling, and stakeholder management.<br/><br/><b>Nice-to-have (aspirational, not mandatory) : </b><br/><br/>- GA4/GTM implementation audits<br/><br/>- Cloud DW exposure (BigQuery/Snowflake/Redshift) and basic dbt/Airflow concepts.<br/><br/>- Forecasting/promo-uplift basics (Prophet/ARIMA) and simple optimization intuition (assortment/inventory).<br/><br/>- Experience with QA of tracking, metric governance, and lightweight scripting for automation.</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Mathematical Science Occupations



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