SSRS / SQL Data Analyst

1 month ago


Charlotte, United States Motion Recruitment Full time
Outstanding long-term contract opportunity A well-known Financial Services Company is looking for a Data Management Analyst in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 6+ Months

Required Skills & Experience Major focus-SQL skills, SSRS An understanding of data modeling and SQL operation to extract from a data warehouse. Heavy reliance SSRS Desired Skills & Experience Experience with-Third Party service provider data modeling General financial service experience
What You Will Be Doing
Existing SSRIS reporting solution, involved in building out enhanced reporting in the existing system for third party service providers reporting. Data Visualization: Power BI: Proficiency in creating reports, dashboards, and data models. SQL Server Reporting Service (SSRS) report creation. Tableau: Strong skills in designing interactive and visually appealing dashboards. Other Tools: Familiarity with tools such as Thoughtspot. Data Analysis and Statistics: Statistical Analysis: Understanding of statistical methods and their applications. Excel: Advanced skills in data manipulation, pivot tables, and charting. Database Management: SQL: Proficiency in querying and managing databases. Database Systems: Experience with relational databases (e.g., SQL Server, MySQL) Data Modeling: Dimensional Modeling: Expertise in creating star and snowflake schemas. ETL Processes: Experience with ETL tools (e.g., Informatica, SSIS) for data extraction, transformation, and loading. Big Data Technologies: Understanding of big data frameworks and tools. Cloud Platforms: Experience with cloud-based data services

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