Data analyst and Power BI with 4+ years of experience utilizing analytics to identify trends develop strategies and improve business operations. Skilled in data mining, ETL processes, data visualization and dashboard design. As a Data Analyst responsible for Data Modeling, Enterprise Data Management, Data Presentation, Visualization, Optimization, Risk assessment, predictive analysis, advance Data Analysis, Business Research and Quantitative Analysis. Experience in designing, developing, and deploying Business Intelligence solutions using SSIS, SSRS, SSAS, Power BI. Experience in creating Power BI Dashboards (Power View, Power Query, Power Pivot, Power Maps). Excellent experience in creating DAX queries to build formulas and expressions in Power BI Desktop. Have experience in Data Visualization development, using Power BI desktop to create complex, instinctive, and imaginative Dashboards. Proficient in data analysis and visualization using tools like Tableau, Power BI, and Excel, leveraging advanced features such as pivot tables, charts, and DAX queries to derive actionable insights. Experienced in working closely with stakeholders, gathering requirements, and translating business needs into technical solutions. Experience in SQL 2017/ 2016/2014/2012 R2 with an emphasis on design, development, automation, tuning, optimization, Performance and Security. Proficient in Data Warehousing methodologies and concepts, including star schemas, snowflakes schemas, ETL processes, dimensional modelling and reporting tools. Experienced in migrating Data from Excel, Flat file, Oracle to MS SQL Server using SQL Server Integration Services (SSIS) and expert in Creating, Configuring and Fine-tuning ETL workflows in SSIS. Experience in Data modeling using ER diagram, Dimensional data modeling, and Working knowledge of OLEDB, T-SQL, SQL, PL/SQL, Stored Procedures, Functions, Packages, Triggers, and scripting languages Hands on in Designing, maintaining, and building Cubes, Dimensions, and Data source views, data mining Models, Deployment and Processing using SSAS. Created stored procedures for generating reports using SQL Server Reporting Services (SSRS), Crystal Reports. Experienced in developing Power BI Reports with KPI Metrics for senior leadership to view the Metrics values and developed BI data mapping and BI objects (dashboards, reports, analysis, visualizations, metrics, security) design documents using Power BI. Proficient in SQL and experience with various Relational Database Management Systems (RDBMS) such as MySQL, Oracle, Microsoft SQL Server, or PostgreSQL. Implemented Row Level Security (RLS) as part of security in Power BI. Experience with implementing CI/CD pipelines for DevOps – source code management using Git, Unit testing, build and deployment scripts. Well Experienced on Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and controlling and granting database access and migrating on premise databases to Azure Data Lake store using Azure Data factory. Demonstrated experience in leveraging Azure Data Services, including Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage, for storing, managing, and analyzing large volumes of data in the cloud. Experience in analyzing business user requirements, analyzed data, and designed software solutions in Tableau Desktop based on the requirements. Knowledge on utilizing essential MapReduce, YARN, Hive, HBase, Flume, Sqoop, PySpark, Spark, SQL, and Kafka components of the Hadoop ecosystem to create and implement enterprise-based applications. Proven ability to manage projects, workflows, custom fields, dashboards, and reports using the JIRA software. Knowledge of Linux and UNIX platforms, including how to fix issues and compile code. Experienced in Agile Methodologies like attending daily Scrums, maintaining User Stories and Burn down Charts, Backlog Grooming and Retrospective. Strong background in a disciplined software development life cycle (SDLC) process and has excellent analytical, programming and problem-solving skills.
Responsibilities:
Environment: Power BI, Power Pivot, Power Query, KPI, ETL, SSRS, Star Schema, Snowflake, ETL, SSIs, T SQL, Power BI Desktop, Azure Synapse, Azure Data Factory, SSRS, Tableau, Map Reduce, Spark, Python, Hadoop, AWS, Jira, Agile, Scrum, Excel, Power View, Power Map.
Environment: Power BI, Agile, Scrum, Excel, ETL, MS SQL, Star Snow Flake, SQL, Tableau, GIT, Azure Data Factory, Tableau, SSRS, Python, Jira, Unix, Linux, DAX, Power desktop, Power Pivot, Azure.
Title: Data Analyst