Data Analyst, Senior

Virginia Farm Bureau

$80K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data analysis and modeling
  • Proficiency in ETL processes and business intelligence tools
  • Solid understanding of data governance and enterprise data strategy
  • Experience with statistical analysis and complex data sets
  • Strong problem-solving skills and ability to trace data flows
  • Experience with documentation of data integration strategies
  • Current knowledge of emerging data technologies and trends

Responsibilities

  • Analyze business data to identify patterns and correlations
  • Map data within the enterprise framework to resolve business problems
  • Design and create data marts for business intelligence
  • Perform statistical analysis and manipulate data for presentations
  • Explore opportunities to enhance analytical databases
  • Document ETL strategies for data flow management
  • Conduct in-depth data analysis with minimal supervision

Benefits

  • Flexible work location in multiple states
  • Support for continuous learning and development
  • Opportunity to participate in cutting-edge data initiatives
  • Contribution to the development of enterprise strategies
  • Involvement in data governance efforts
  • Collaborative work environment with Data Analyst Lead
Full Job Description
Data Analyst, Senior.

This position is located in Ridgeland, MS, Baton Rouge, LA, Cayce, SC and Little Rock, AR.

The Data Analyst, Senior will direct and perform logical data modeling, identify patterns in data, design, analyze and document the enterprise data warehouse and ETL processes supporting it. This team member actively participates in Data Governance initiatives to support the Enterprise Data Strategy across operational and analytical database environments. This position will work closely with the Data Analyst Lead working close to support the Enterprise Data Warehouse.

Essential Functions
•Analyze and mining business data to identify patterns and correlations among the various data points.
•Map and trace data within the enterprise data framework in order to solve a given business or system problem.
•Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.
•Perform statistical analysis of the enterprise data. Extract existing data to manipulate/calculate/format into useful presentations.
•Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies .
•Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.
•Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.
•Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.
•Must support innovations by actively keeping technical and professional business knowledge current on emerging technology and Data Trends which may fit with enterprise needs. Must be able to research and accurately articulate benefits and goals of these technologies.

Additional Responsibilities
•Regular and predictable attendance is required.
•Other duties as assigned.

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