Prashant Samant

Business Development Executive

Delhi, India4 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led development of 20+ dashboards boosting stakeholder satisfaction.
Delivered 50+ insights increasing data-driven decision-making effectiveness.
Streamlined data workflows improving efficiency by 30%.

Stackforce AI infers this person is a Data Analyst specializing in SaaS analytics and business intelligence.

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Skills

Core Skills

Data AnalysisBusiness AnalysisData Visualization

Other Skills

Python (Programming Language)MySQLTableauSQLPythonExcelStatistical TechniquesJiraSkills AnalysisPerformance DashboardsSubject Matter ExpertsReport WritingRoot Cause AnalysisgsheetProject Management

About

Hello Everyone 👋🏻 I am currently working as a Lead Data Analyst at UBER’s Ops Team which covers UBER GROCERY AND RETAIL(US, CANADA and EMEA Region). # My roles and responsibilities is to provide analytical solutions and generating insights in the form of reports and dashboards to stakeholders to make business decisions spread across US🇱🇷, CANADA🇨🇦 and EMEA🇪🇺 regions. # Prior to Uber , I was working as a Software troubleshoot and operations @ Electronic Arts(EA) to identify and diagnose software-related issues reported by end-users or detected through monitoring tools. Collaborate with cross-functional teams to resolve complex technical issues. # Provide technical assistance and support to end-users, addressing their software-related queries and issues. Skills: Hadoop , Business Analysis , Exploratory Data Analysis , Jira · KPI Dashboards , Presto , Hive , MySQL , Tableau , Python (Programming Language) , Microsoft Excel , CRM , Software Testing , Troubleshooting.

Experience

4 yrs 3 mos

Total Experience

2 yrs 1 mo

Average Tenure

3 yrs 6 mos

Current Experience

Uber

3 roles

Lead Data Analyst(Consultant)

Promoted

Apr 2025 – Present · 1 yr 2 mos

I am currently working as a Lead Data Analyst @UBER’s Ops Team. UBER GROCERIES AND RETAILS.
🔹 My roles and responsibilities is to provide analytical solutions and generating insights in the form of reports and dashboards to stakeholders to make business decisions spread across USA 🇺🇸 Canada 🇨🇦 &EMEA 🇪🇺region.
🔹 Streamlined data extraction workflows, reducing prep time by 30%, and improved dashboard development speed by 40%. Earned consistent praise for 20+ intuitive dashboards, resulting in a 15% boost in stakeholder
🔹 Utilized SQL for advanced querying, Python (Pandas, NumPy) for data manipulation and preprocessing, and Excel for data cleaning and quick analysis.
🔹 Applied statistical techniques (trend analysis, correlation, outlier detection) to uncover key patterns in consumer behavior, merchant performance, and fulfillment efficiency.
🔹 Collaborated with ~1000 Account Managers to deliver custom analytics solutions that supported sales growth, operational improvements, and strategic planning.
🔹 Built and delivered 100+ data reports and dashboards using visualization tools (e.g., Looker/Tableau), driving a 30% improvement in data-informed decision-making.
🔹 Streamlined data extraction workflows, reducing prep time by 30%, and improved dashboard development speed by 40%. Earned consistent praise for 20+ intuitive dashboards, resulting in a 15% boost in stakeholder satisfaction.
🔹 Ensured data quality and compliance by implementing best practices in data governance and adhering to privacy and accuracy standards.

Python (Programming Language)MySQLData AnalysisBusiness Analysis

Data Analyst 1

Promoted

Apr 2024 – Apr 2025 · 1 yr

UBER EATS ANALYTICS:
I was working as a Data Analyst at UBER's Core Merchant Ops Team. UBER EATS (US & CANADA Region) includes:-
● Analyzed Uber Eats data for US and CANADA region to provide actionable insights and recommendations to clients and Uber executives.
● Expertise in SQL, Python, Excel, and dashboarding tools for comprehensive data analysis and visualization.
●Collaborating closely with around 1500 Account Managers across the US & C region to fulfill analytical needs and provide data driven-informed decisions.
● Collect and analyze large datasets to identify trends, patterns, and insights related to user behaviour, restaurant performance, and delivery logistics.
● Work closely with cross-functional teams, including engineers, product managers, and business operations, to support data-driven decision-making and solve business problems.
● Ensured data accuracy, consistency, and compliance with data privacy standards by implementing data governance best practices.
● Delivered 50+ timely data insights and visualizations to support decision-making, resulting in a 20% increase in data-driven decision-making effectiveness.
● Streamlined data extraction, reducing preparation time by 30% and dashboard creation time by 40%. Received consistent positive feedback for 20+ visually appealing dashboards that led to a 15% improvement in stakeholder satisfaction.