Data Analyst (Medicaid, ADF, SQL, Python)-Eden Prairie, MN

AHU TechnologiesAHU Technologies·Remote(Washington)
Data & Analytics

WFA Digital Insight

The demand for data analysts has surged as organizations increasingly rely on data-driven decision-making, particularly in healthcare sectors such as Medicaid. With a strong focus on ETL processes and the use of ADF, this remote role at AHU Technologies is well-positioned as the industry adapts to digital transformations. Candidates skilled in SQL and Python are particularly sought after, given their role in enhancing data workflows. Understanding the nuances of Medicaid data will give applicants a competitive edge. Ensure your application highlights relevant technical skills and any experiences that demonstrate your adaptability in a digital workspace.

Job Description

About the Role

In this remote position, you will assist in all ETL change requests, focusing on developing and loading data through various ETL jobs and existing pipelines.

Responsibilities

  • Develop and maintain ETL jobs for data extraction and loading.
  • Create new ETL pipelines using Azure Data Factory (ADF).
  • Analyze requirements and create specifications for data documentation.
  • Maintain existing stored procedures and documentation in ICD during the M&O phase of the project.

Requirements

  • Experience with ETL processes and tools (ADF preferred).
  • Proficient in SQL and Python for data manipulation and analysis.

Nice to Have

  • Familiarity with Medicaid systems and data regulatory requirements.

Benefits

  • Flexible remote work arrangement, allowing for a better work-life balance.

How to Stand Out

  • Ensure your resume includes specific examples of your ETL projects, highlighting any use of ADF.
  • Familiarize yourself with Medicaid data and compliance requirements to stand out in interviews.
  • Showcase your Python projects or scripts that demonstrate your ability to automate data processes.
  • Prepare to discuss your approach to problem-solving and critical thinking during technical interviews.
  • Negotiate your rate based on your skills and the industry average for similar remote positions.

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