Anurag Das

Product Manager

Hyderabad, Telangana, India8 yrs 6 mos experience

Highly Stable

Key Highlights

Generated $5M+/month in additional bookings at Uber India.
Reduced Amazon's last-mile delivery defects by 25% YoY.
Cut customer churn by 15% through cohort-driven campaigns.

Stackforce AI infers this person is a Data Analytics Leader with expertise in Business Intelligence and Supply Chain Management.

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Skills

Core Skills

Business Intelligence (bi)Data AnalysisTeam ManagementSupply Chain ManagementProduct DevelopmentOperations Management

Other Skills

SQLPythonTableauPower BIHIVEData VisualizationCohort AnalysisA/B TestingForecastingTeam LeadershipAzureBusiness IntelligenceProcess ImprovementMutual FundsInvestments

About

I turn messy operational data into decisions that move revenue. Over 7 years, I've built analytics systems that generated $5M+/month in additional bookings at Uber India, reduced Amazon's last-mile delivery defects by 25% YoY, and cut customer churn by 15% through cohort-driven campaigns — all using SQL, Python, Tableau, Power BI, and QuickSight. My work spans the full BI stack: from writing complex HIVE/SQL pipelines to designing executive dashboards, running A/B tests, and leading teams of 8 analysts across Rider Ops, Driver Ops, and Marketplace verticals. Currently a Business Intelligence Engineer II at Amazon (Last-Mile Delivery Technology), I'm now taking the next step in my career — relocating to Europe. 🇩🇪 I hold a Germany Opportunity Card (GOC), authorising me to work and job-seek in Germany and across the EU/EEA. I'm actively targeting senior BI Engineer, Analytics Lead, and Product Analytics roles in Germany, Netherlands, Spain, and the UK. If you're hiring or know someone who is, I'd love to connect. 📧 mr.anuragdas@gmail.com

Experience

8 yrs 6 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 10 mos

Current Experience

Amazon

Business Intelligence Engineer II

Aug 2024 – Present · 1 yr 10 mos · Hyderabad, Telangana, India

Stops Optimization:
o Developed and implemented new logic for Repeat UC/OC MGRS grids, resulting in a 25% year-over-year decrease in Egregious MGRS, aligning with Stops TLT goals. Introduced a novel measure to calculate the percentage of MGRS grids with service time outliers, improving repeat service time estimation accuracy.
o Designed and launched the Stops MGRS P0 Dashboard, identifying egregious MGRS with recurring delivery issues. Enhanced existing Stops MBR dashboard with MGRS page 0 view and conducted RSR analysis to pinpoint defective RSR MGRS grids. Dashboard features include under-consolidation, over-consolidation, and service time underestimation pattern detection.
Workload Management:
o Spearheaded the development of a Centralized HIVE dashboard, consolidating critical operational hotspots across Workload, Stops, and RSQ dimensions. Implemented weekly ranking of top 50 defective MGRS 100m grids, enabling focused improvement efforts.
o Optimized the Workload P0 metrics dashboard, significantly reducing manual effort required for MBR metrics compilation and analysis.
o Enhanced the Splits Attribution dashboard with new backtracking and EMB metrics. Implemented functionality to differentiate effects on split vs. non-split routes and track MBC-split rate relationships, providing deeper insights into route efficiency.

SQLPythonTableauPower BIHIVEBusiness Intelligence (BI)+1

Uber

2 roles

Analytics Lead - North Asia

Jan 2023 – Jul 2024 · 1 yr 6 mos · Hyderabad, Telangana, India

Managed a team of 8 analysts from Rider ops, Driver Ops and marketplace verticals. Enabling smooth functioning of analytics teams and collaborating with Ops managers to deliver fast paced insights and initiatives.
Guided team of 3 analysts to develop Active Riders tracker leading to reduction of 12-15 man hours per week for rider analysis leading to cost savings of 4k$ per week
Created Airports dash enabling optimisation of airport taxi campaigns leading to additional GB of 5M$ per month
Performed cohort analysis to identify to be churn riders and targeted them with promos to reduce churn by 15%
Created campaign tracking dashboard, enabling us to filter down best performing cities and helped reduce campaign cost by 17%. Additional riders gave incremental gross bookings of 2M$ on monthly basis

SQLPythonData AnalysisCohort AnalysisTeam Management

Senior Business Analyst

Jul 2021 – Jan 2023 · 1 yr 6 mos · Hyderabad, Telangana, India

Designed and implemented Eater 2 Rider campaign for Japan and Taiwan
Lead analysis to identify Uber eats users on basis of app usage to target them for rider app conversion and thus enabling increase of over 60k rider first trips on monthly basis
Initiated A/B testing using treatments and control cohorts to identify best promo structures and enabling 13% rise in rider conversion rates

SQLA/B TestingData AnalysisBusiness Intelligence (BI)

Mu sigma inc.

2 roles

Desicion Scientist

Promoted

Sep 2020 – Jun 2021 · 9 mos

Created solutions for supply chain division for 2nd largest private food - processing company in the world
Led a team of 5 members to create a global raw and packs inventory tracking system which enabled
supply managers across better decision making
Helped implement forecasting model for seasonal products which helped increase their holiday sales by
14%
Created a framework to identify products which are at-risk of being out of stock which helped reduced
their out of stock products by 6% in their warehouses

Data AnalysisForecastingTeam LeadershipSupply Chain Management

Trainee Decision Scientist

Mar 2018 – Sep 2020 · 2 yrs 6 mos

Spearheaded a team of 3 which implemented Azure cost monitoring model where once can monitor costing of Azure cloud resources and streamline usage to reduce 8% cloud computing costs
Oversaw a team of 3 resources to to implement a BI solution European pet-care division. This enabled them make quicker decisions and helping increase bottom-line by 6% YoY

AzureBusiness IntelligenceBusiness Intelligence (BI)Data Analysis

Wealthtrust india

Trainee Data Analyst

May 2017 – Oct 2017 · 5 mos · Mumbai Area, India · On-site

Helped develop product “Wealthtrust” app for mobile interface for consolidation
of financial portfolio of customers
Helped designed algorithm or rating of mutual funds out of 100 on basis of 5
parameters of volatility
Formulated strategies that helped increase app conversion rate among first time
users by 27%
Developed new marketing strategies which increased 87% visibility among
mutual fund app users

Data AnalysisPythonProduct Development

Tata steel

Operations Intern

May 2016 – Jul 2016 · 2 mos · Kolkata, West Bengal, India · On-site

Implemented lean operations module for transportation of raw slag on trucks to reduce pilferage enabling reduction of wastage in Vishakhpatnam port by 8%
Automated tracking of consignment trucks to from Visakhapatnam port enabling real-time tracking of inventory in port . This enabled us to reduce the inventory holding cost by 6% on MoM basis

Supply Chain ManagementSQLOperations Management