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Data Analyst ETL Developer at Remote, Remote, USA
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vivek,

vyzeinc

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Data Analyst/ETL Developer

Hybrid-Lansing, Michigan 

Any Visa 

Skype

JD

POSITION DESCRIPTION:

As a Data Analyst/ETL Developer within the Office of Retirement Services (ORS), you will play a vital role in managing and optimizing the data infrastructure, ensuring data quality, and facilitating effective data migration efforts. You will work as a contractor, collaborating closely with internal stakeholders and technical teams to support ORS's data-related initiatives, especially in the context of our ambitious modernization effort, using Agile methodologies, to update our current 17-year-old software package, to a modernized new product for the future.

KEY RESPONSIBILITIES:

Data Profiling and Source-to-Target Mapping: Lead data profiling and source-to-target mapping exercises to understand data sources, structures, and relationships.

Root-Cause Analysis: Oversee the identification and resolution of data irregularities by conducting root-cause analyses and implementing approved solutions.

Requirements Gathering: Engage with customers and business partners to gather data-related requirements, ensuring alignment with ORS objectives.

SQL Expertise: Demonstrate strong SQL skills, particularly with Microsoft SQL Server, to manipulate, query, and transform data effectively.

Data Integration Workflow Design: Leverage multiple years of experience to design complex data integration workflows that support ORS's data needs.

Data Migration Leadership: Lead data migration efforts, with preference given to experience in migrating from on-prem data solutions to cloud databases.

Modernization Effort: Play a key role in our ongoing modernization effort to replace our aging software, which is over 17 years old, with a new, modern system coded up to current standards. Contribute to the development of this cutting-edge software, ensuring that the data integration and ETL processes are aligned with our modernization goals.

Agile Methodology: Embrace our recent transition from Waterfall to Agile software methodology, participating actively in Agile development practices, including sprint planning, stand-up meetings, and iterative development.

Industry Best Practices: Stay informed about industry best practices and standards, advocating for and implementing data-driven solutions that maximize efficiency and quality.

Problem-Solving Skills: Ability to think abstractly and break down complex data issues and solutions into simplified, actionable tasks.

Mentorship: Provide guidance and mentorship to first-time developers in data profiling and source-to-target mapping exercises.

Data Management Knowledge: Display familiarity with key data management concepts, including Master Data Management, Data Quality Management, Metadata Management, Data Security, Information Lifecycle Management, and Data Governance.

Keywords:
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Thu Nov 02 03:57:00 UTC 2023

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Location: Lansing, Michigan