Samuel Philips
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
Work Experience
- 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.
- 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.
- 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.
- 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
- 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.
- 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
Certifications
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