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Data Analyst Resume

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Seattle, WashingtoN

SUMMARY

  • 5+ years of data analysis, data administration, and designing business intelligence solutions.

TECHNICAL SKILLS

BI Tools: Power BI desktop, Power BI service, Power BI Mobile, Power BI report builder, SQL server reporting services (SSRS), SQL Server Analysis Services (SSAS), SQL server Integration Services (SSIS)

Environment: Power BI, DAX, Power query, Excel, ETL, SQL Server 2019/2017/2016/2014 , SharePoint, T - SQL.

Databases: MS SQL Server, Oracle, MS Access, MySQL.

Data Modeling: ER/Studio 18.3, Erwin 6.1

Languages: MS-SQL, MySQL, T-SQL, DAX, Visual Studio 2019 version 16.11 (.Net version 4.7.2) using C# Version 9.0

OS: Windows XP/03/07/10/11, OS X, Linux/Unix

Front-End Tools: Microsoft Teams, SharePoint, Jira

PROFESSIONAL EXPERIENCE

Confidential

Data Analyst

Responsibilities:

  • Fetched data from different sources like Excel, Flat Files, XML, SharePoint list/Library, SQL Server DB, Azure SQL DB, and various other databases to Power BI to generate reports.
  • Created complex tables and measures using DAX functions such as Aggregation Functions, Date & Time Functions (Time intelligence Functions), Filter functions, Logical Functions and Text Functions
  • Designed and developed Power BI graphical and visualization solutions with business requirement documents and plans for creating interactive dashboards.
  • Used different types of visualization (Stacked bar Chart, Clustered bar Chart, Scatter Chart, Pie Chart, Donut Chart, Line & Clustered Column Chart, Map, Slicer etc.) in Power BI according to the requirements.
  • Developed Several interactive visual reports, dashboards and KPI scorecards using Power BI desktop and made them available in Web clients and mobile apps.
  • Developed, published, and scheduled Several Power BI reports.
  • Created Workspace and Apps in Power BI and gave access to end users.
  • Created Deployment Pipelines and Publish Apps
  • Implementing Static and Dynamic row level security (RLS)
  • Installed and Configured Enterprise Gateway and Personal Gateway in Power Bi Services to keep the dashboards and reports up to date.
  • Created Scheduled data refresh and Incremental Refresh.
  • Implemented Query Folding
  • Created Paginated Reports
  • Refreshing data using power Automate
  • Created SSIS packages to extract data from different sources; ADO NET Source, Excel Source, Flat File Source, OLE DB Source, XML Source.
  • Designed Star Schema and Snowflake schemas in the process of data modeling.
  • Developed, supported, and maintained different kinds of ETL (Extract, Transform and Load) processes for loading data into Data warehouse.
  • Worked on Aggregate, Derived Column, and Data Conversion Transformations.
  • Created Database Objects - Tables, Indexes, Views, Stored Procedures and User defined functions.
  • Worked withSCRUMteam in delivering agreed user stories on time for every Sprint.

Confidential, Seattle, Washington

Data Analyst/Power BI Developer

Responsibilities:

  • Imported data to Power BI from multiple sources like SQL server, MySQL, Oracle, Excel, CSV, JSON, XML, Web URL, Azure SQL Database and Azure Analysis Services Database
  • Created the data model in Power BI to meet performance requirements, defined - tables, relationship cardinality, cross filter direction, appropriate level of granularity and created a common date table
  • Developed DAX expressions using several Filter, Statistical, Date time, Logical, Relationship, Table Manipulation and Time Intelligence Functions
  • Improved the usability by configuring bookmarks, selection pane, tool tips, sync slicers, grouping and binning, cross report drill through and drill down into interactive visuals
  • Created Interactive cards, conditional drill through buttons and toggle buttons by leveraging bookmarks and selection panes in Power BI.
  • Created reports for multiple departments by creating URLs and adding a Parameter to the report in Power BI
  • Implemented complex hierarchical row level security as applicable to restrict data access to given users and their assigned regions
  • Implemented performance optimization techniques in Power BI to improve the performance and quality of the dashboards
  • Implemented Query Folding
  • Configured schedule refresh and Incremental refresh to keep dashboards and reports up to-date with on premise data sources when published to the Power BI Service

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