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Samuel Philips

Data Analyst / BI Developer • Hyderabad, Telangana • j**************@gmail.com • +91*******430 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Data Analyst with 9+ years of experience building BI solutions and analytical pipelines using Power BI, DAX, SQL Server and MySQL. I specialize in end-to-end reporting — requirements gathering, ETL with Power Query and SSIS, semantic modeling, and production Power BI dashboards for e-commerce, hospitality and consulting clients. I have designed DAX measures and data models to deliver timely KPIs and automated reporting, and built ETL processes to consolidate multi-source transactional data for reliable analytics. At Amazon I analyzed payment transaction datasets and improved reconciliation workflows; as a freelancer I standardized reporting and automated recurring reports to reduce manual effort. I apply Advanced Excel and Python for exploratory analysis and validation, and use Tableau selectively for executive visualizations. I prioritize clear documentation and stakeholder enablement to maximize dashboard adoption and drive data-driven decisions.

Technical Skills

Programming Language: Python
Databases: Microsoft SQL Server,MySQL
Data Warehousing: Data Modeling
Data Analysis & Visualization: Power BI,Tableau,Power Query,Pivot Tables,DAX
Data Integration & ETL: ETL
Project Management & Collaboration: Jira,Agile,Semantic Models

Work Experience

SIT
Hyderabad, Telangana
Business Analyst Intern
May 2025 – Jan 2026
Internship supporting BI/reporting work for business stakeholders; delivered Power BI dashboards and validation for internal reporting needs.
Tech Stack: Power BI, DAX, Jira
  • Gathered and refined reporting requirements with business and technical stakeholders to define KPIs, data sources and acceptance criteria.
  • Designed Power BI semantic models and optimized relationships to ensure accurate aggregation and performant report visuals.
  • Implemented DAX measures and calculated columns to enable month-over-month and YTD comparisons for operational KPIs.
  • Performed dashboard testing and data validation using reconciliation samples to guarantee report accuracy and data lineage.
  • Documented report specifications and tracked development issues using Jira to ensure timely delivery of stakeholder-requested features.
  • Trained stakeholders on dashboard navigation and self-service features to improve adoption and reduce ad-hoc report requests.
BI Developer | Analyst | Freelancer
BI Developer | Analyst | Freelancer
Aug 2020 – May 2025
Contract BI work delivering end-to-end Power BI reporting solutions and data preparation for multiple clients across domains.
Tech Stack: Power BI, Power Query, DAX, Excel
  • Delivered end-to-end Power BI reporting solutions from requirement gathering to production deployment and stakeholder handover.
  • Engineered data transformations with Power Query to standardize client datasets originating from relational sources and flat files.
  • Automated recurring reporting workflows and scheduled refreshes to reduce manual effort and standardize delivery cadence.
  • Processed and validated large datasets using Advanced Excel pivot tables and SQL-derived extracts to ensure downstream report quality.
  • Translated business requirements into KPIs and authored DAX measures to provide actionable, client-aligned metrics.
  • Implemented documentation and deployment guides to enable client teams to maintain dashboards and refresh schedules independently.
Amazon
Hyderabad, Telangana
Transaction Risk Analyst
July 2019 – July 2020
Analytics role within e-commerce transactional operations focused on payment lifecycle, reconciliation and operational reporting.
Tech Stack: SQL Server, Power BI, DAX, Power Query, SSIS, Tableau
  • Analyzed payment lifecycle and transactional datasets using SQL Server to detect anomalies and prepare inputs for reconciliations.
  • Created Power BI dashboards with DAX measures to surface payment KPIs and trends for operations and finance stakeholders.
  • Performed data reconciliation and root-cause analysis on discrepancies to ensure invoicing accuracy and reporting integrity.
  • Built ETL processes using Power Query and SSIS to consolidate multi-source transaction data for the reporting layer.
  • Produced auxiliary visualizations in Tableau to validate Power BI outputs and support executive-level summaries.
  • Delivered process and reporting improvements that reduced operational losses by 25% through standardized reconciliation workflows.
C3i
Hyderabad, Telangana
Technical Analyst
May 2017 – March 2018
Operational and testing support role executing SQL-based validation, invoicing reconciliation and STLC activities for operational reports.
Tech Stack: SQL, Agile, STLC
  • Executed SQL queries for data extraction and validation to correct and improve the accuracy of operational reporting.
  • Backed invoicing and reconciliation processes by preparing validated datasets and structured reporting artifacts.
  • Conducted STLC tasks including test case execution, defect logging and verification to accelerate resolution of data issues.
  • Diagnosed recurring system downtime impacts through log analysis and data checks, enabling targeted remediation steps.
  • Documented data workflows and validation rules to reduce recurring discrepancies and support knowledge transfer.
  • Drove Agile ceremonies and clarified data requirements to development and testing teams to aid sprint delivery.

Projects

Budget Forecast Reporting Dashboard
Tools Used: Power BI, Power Query, SSIS, DAX
  • Combined multiple data sources using Power Query and SSIS to create a unified dataset for budget and forecast analysis.
  • Modeled data and authored advanced DAX calculations in Power BI to track budgetary KPIs and present scenario-based forecasts.
  • Presented the dashboard to stakeholders and incorporated feedback to align visualizations with decision-making requirements.
Hospitality Domain Data Analysis (AtliQ Grand Hotel)
Tools Used: Python, SQL
  • Used SQL to extract relational data and Python for exploratory data analysis to identify revenue and market-share drivers.
  • Executed ETL-style cleaning and transformation to prepare datasets for KPI extraction and time-series analysis.
  • Delivered actionable recommendations from EDA that guided pricing and promotional decisions to improve occupancy and revenue mix.

Education

JNTUH
Bachelor of Technology in Mechanical Engineering • Aug 2013 – May 2017

Certifications

Microsoft Power BI Data Analyst Associate — Microsoft
Microsoft Office Specialist: Excel Associate — Microsoft
Data Science Professional — ODIN School

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