Data Analyst Resume
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