Senior Data Analyst - Revenue & Growth Insights

MAHITH P

SENIOR DATA ANALYST

+1-913-***-**** *********@*****.***

PROFESSIONAL SUMMARY

Senior Data Analyst with 5+ years of experience driving revenue, growth, and performance insights across marketplace, financial, and regulated platforms. Strong background in SQL-based analytics, Python modeling, and KPI frameworks to explain system behavior, evaluate experiments, and influence pricing, product, and sales decisions. Proven partner to Sales, Product, and Data Science teams, translating complex auction-like and performance data into clear narratives that inform revenue strategy, optimize marketplace outcomes, and support client-facing conversations.

CORE SKILLS

Revenue & Growth Analytics: Marketplace Performance, Pricing Dynamics, Funnel Analysis, LTV & ROI

Experimentation: A/B Testing, Feature Launch Measurement, Model Calibration Analysis

Data Analysis: SQL (CTEs, Window Functions), Root-Cause Analysis, Anomaly Detection

Programming: Python (Pandas, NumPy), R (Ad-hoc Analysis)

Business Intelligence: KPI Dashboards, Executive & Client-Facing Reporting

Stakeholder Enablement: Sales Insights, Product Analytics, Data Storytelling

Data Quality: Metric Definitions, Validation, Trust & Consistency

PROFESSIONAL EXPERIENCE

SENIOR DATA ANALYST

Citi Bank – Irving, TX August 2024 – Present

Analyzed millions of daily transactional and behavioral events to understand revenue drivers, pricing sensitivity, and performance trends across large-scale financial systems.

Partnered with business and sales stakeholders to explain performance changes, translate analytical findings into revenue impact, and support data-driven decision making.

Built SQL-driven KPI frameworks to track conversion rates, throughput, and revenue efficiency, improving leadership visibility into system-level performance.

Supported experimentation and model changes by measuring pre-/post-performance, validating assumptions, and quantifying lift or degradation.

Performed root-cause analysis on revenue and performance anomalies, identifying contributing factors and recommending corrective actions.

Developed Power BI dashboards to communicate pricing behavior, performance trends, and growth signals to non-technical audiences.

Ensured metric consistency and data accuracy across revenue reporting by implementing validation checks and standardized definitions.

Technology Stack:

SQL (CTEs, Window Functions), Python (Pandas, NumPy), Power BI, AWS Redshift, AWS S3, Data Validation Frameworks

BUSINESS DATA ANALYST

Deloitte – New York, NY February 2024 – August 2024

Supported clients by analyzing performance, pricing, and growth datasets to explain system behavior and revenue outcomes.

Partnered with Product and Data Science teams to evaluate A/B tests, feature launches, and model calibration changes, measuring impact on KPIs and revenue metrics.

Built SQL-based analyses to identify trends, generate summary statistics, and surface performance drivers across large datasets.

Conducted root-cause analysis on performance drops and volatility, translating findings into clear recommendations for stakeholders.

Created executive-ready and client-facing reports that explained complex analytical outcomes in simple business terms.

Worked closely with sales-aligned teams to support client conversations using data-backed insights and performance narratives.

Technology Stack:

SQL, Python (Pandas), R (Ad-hoc Analysis), Tableau, Power BI, AWS Glue, Redshift, Excel (Power Query)

DATA ANALYST

Max Healthcare – New Delhi, India January 2021 – August 2023

Analyzed high-volume operational and utilization datasets to understand demand patterns, capacity constraints, and performance efficiency.

Built KPI dashboards to track growth trends, throughput, and utilization across service lines, supporting leadership planning decisions.

Performed longitudinal analysis to identify growth opportunities and inefficiencies, informing optimization initiatives.

Partnered with operations and product-like teams to translate analytical insights into actionable improvements.

Ensured data consistency and trust by standardizing metric definitions and validation processes across reports.

Technology Stack:

SQL, Python (Pandas, NumPy), Tableau, AWS S3, AWS Glue, Redshift

EDUCATION

Master’s in Data Science Kansas City, MO

University of Missouri Kansas City GPA: 3.9/4.0

Bachelor’s in Computer Science and Engineering

Jawaharlal Nehru Technological University Hyderabad, India

CERTIFICATIONS

Microsoft Azure Data Analytics

Certificate in Data Science

Data Preparation for Machine Learning

Advanced Machine Learning Operations

Python Certification

Tableau for Data Analysis & Visualization

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