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Power Bi Data Analyst

Location:
Washington, DC
Posted:
March 04, 2025

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Resume:

MERGA AYO

316-***-****

**********@*****.***

SUMMARY

● Proficient in creating Power BI and Tableau dashboards for data analysis.

● Experienced in writing advanced SQL queries to retrieve and analyze data.

● Skilled in automating workflows and data pipelines using Python.

● Adept at creating DAX measures for interactive reporting in Power BI.

● Knowledgeable in data governance and ensuring compliance.

● Experienced in building ETL processes with SSIS for integration.

● Strong in performing exploratory data analysis to identify trends.

● Skilled in visualizing insights with Python libraries and Tableau.

● proficient in cleaning and validating data for reporting accuracy.

● Works effectively with cross-functional teams to gather and fulfill reporting needs. Skills

● Databases: MSSQL, Oracle, PostgreSQL, MongoDB, MS Access

● BI Tools: Power BI, Tableau, SSAS, Crystal Reports, Excel, SSRS

● SQL Server Tools: SQL Server Management Studio, BIDS, SQL Profiler, FTP

● Methodologies: Agile, Waterfall, Data Modeling, MS Project

● Cloud Platforms: Microsoft Azure, AWS, Snowflake Education and Certification:

● BS in

● Microsoft Certified: Data Analyst Associate with Power BI Commerce Bank - Kansas City, MO

Data Analyst

April 2023 – Present

● Created Power BI dashboards to monitor banking KPIs and financial metrics.

● Extracted customer and transaction data using SQL for analysis.

● Automated data workflows and ETL processes using Python.

● Built data pipelines with SSIS to integrate large banking datasets.

● Developed DAX measures to enable dynamic reporting in Power BI.

● Performed exploratory data analysis to identify patterns and insights.

● Ensured data accuracy by cleaning and validating raw datasets.

● Built forecasting models to predict customer loan performance.

● Presented actionable insights through clear, interactive dashboards.

● Collaborated with teams to enhance reporting and analytics capabilities. Environment Power BI Desktop, Power BI Service Pro, Business Objects, SharePoint, QlikView, SQL, MSSQL, MS Access, Microsoft Excel

Pfizer - New York, NY

Data Analyst

May 2020 – March 2023

● Designed Tableau dashboards to track clinical trials and drug performance.

● Used Python and pandas to analyze large datasets related to healthcare.

● Wrote SQL queries to retrieve and process patient data.

● Automated ETL processes for clinical data integration.

● Conducted predictive modeling to forecast market trends.

● Ensured data consistency and compliance with healthcare standards.

● Presented insights through Tableau dashboards to executives.

● Collaborated with researchers to deliver data-driven solutions.

● Trained teams on using analytics tools effectively.

● Maintained documentation of data pipelines and processes. Environment: Tableau, Microsoft Azure, Python, Pandas, Seaborn, SharePoint, Visual Studio, Scrum/Agile, XML, SQL Profiler, TFS, MS Office

Harbor Freight Tools - Calabasas, CA

Data Analyst

September 2018 – April 2020

● Developed Tableau dashboards to track retail operations and sales.

● Wrote SQL queries to analyze product and inventory performance.

● Automated data workflows using Python for efficient reporting.

● Cleaned and processed raw sales data for accuracy.

● Conducted trend analysis to forecast product demand.

● Presented insights through clear, interactive visualizations.

● Worked with marketing teams to optimize promotions and campaigns.

● Documented workflows and analytics processes for scalability.

● Ensured data quality across multiple systems.

● Trained staff in using Tableau for data analysis. Environment: Microsoft SQL Server 2012/2014, Visual Studio, SSRS, SAP Hybris, MuleSoft. .Net, GIT, Jira, and Tableau.

John Deere Moline, IL

SQL Developer

March 2017 – August 2018

● Developed SQL queries to analyze manufacturing and production data.

● Built SSIS packages to streamline data integration processes.

● Designed SSRS reports for tracking equipment performance.

● Optimized SQL queries to improve database efficiency.

● Created stored procedures for automating routine tasks.

● Implemented database security controls and user roles.

● Developed indexing strategies for faster query execution.

● Collaborated with teams to deliver data solutions for engineering needs.

● Documented database workflows and processes.

● Resolved SQL Server issues to ensure smooth operations. Environment: SQL Server Management Studio (SSMS), MS BI Suite (SSIS/SSRS), SQL Server Data Tools

(SSDT), JIRA, Agile/Scrum.



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