Think41 - Data Analyst - Python

2 weeks ago

Bengaluru, India Think41 Full time

Location : Think41, HSR layout Bangalore Job Type : Full-TimeAbout Think41 : 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. Role summary : 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 : - Build and maintain executive and team dashboards (Power BI/Tableau/Looker Studio); automate recurring reports; document metric definitions.- Write performant SQL (joins, window functions, CTEs) and use Python (pandas/NumPy) for wrangling and QC; publish reusable queries/views.- Run deep dives on price & promo performance, category/basket KPI shifts, stockouts/returns, conversion funnels and cohorts; recommend next actions.- Assist with A/B and holdout analysesdefine metrics, sanity checks, readouts, and learnings.- Partner with product/marketing on GA4/GTM tracking; validate tags and reconcile web/app data with warehouse tables.- Monitor data freshness/accuracy, raise issues, and maintain playbooks/SOPs.- Under guidance, review low-risk AI-agent suggestions (e.g., minor promo tweaks, exception queues), record rationale, and escalate edge cases.Must-have qualifications : - 23 years in analytics/BI; retail/e-commerce/CPG exposure preferred.- Strong SQL; solid Excel; experience with at least one BI tool (Power BI/Tableau/Looker Studio).- Working Python (pandas/NumPy) for data prep and analysis; Git basics helpful.- Comfort with funnels/cohorts, conversion/AOV, margin basics, and interpreting KPI movements in a retail context.- Fundamentals of experimentation and descriptive statistics; ability to explain assumptions/limitations.- Clear communication : concise summaries, structured storytelling, and stakeholder management.Nice-to-have (aspirational, not mandatory) : - GA4/GTM implementation audits- Cloud DW exposure (BigQuery/Snowflake/Redshift) and basic dbt/Airflow concepts.- Forecasting/promo-uplift basics (Prophet/ARIMA) and simple optimization intuition (assortment/inventory).- Experience with QA of tracking, metric governance, and lightweight scripting for automation. (ref:hirist.tech)

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