IT Data Analyst

Michigan Farm Bureau
Lansing, MI, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Profiling Data Cleansing Data Discovery Data Governance Data Integration Data Mapping Data Profiling Data Structures Database Queries Database Testing SQL Databases
+2 more
Computer Equipment Information Technology

Job description

To analyze, design, develop, test, and implement processes and systems that support data integrations, data standardization, data quality, and data governance for the Farm Bureau Insurance Companies.

Manage and analyze data processes, issues, and questions. Understand the details of data processes and management. Participate in data quality, data governance, and MDM programs.

Serve as a team member or technical lead on projects. Provide data analysis, data profiling, data testing, and data discovery as needed. Provide necessary documentation around data mapping, transformations, technical specs, and data catalog updates. Apply principals of data governance, insurance, and processing requirements.

Assess, correct and identify permanent solutions to data problems. Take calls outside of standard working hours to issue diagnosis and resolution in both proactive and reactive modes.

Requirements

Bachelors degree in computer science or related field required, or equivalent experience may be considered.

Two to four years experience as a data analyst or equivalent position required.

Strong experience using SQL and writing queries required.

Current knowledge of computer hardware, operating systems, program language(s) and tools, testing techniques and tools, program specification and interpretation required.

Working knowledge of systems design and analysis tools and techniques required.

Preferred:

Experience working with and managing insurance data structures and processes preferred. Experience with software for data cleansing, standardization, matching, profiling, MDM, data quality and data governance preferred.

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