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Job Description

The Senior Data Analyst role at Guidehouse is an onsite position in Huntsville, AL, supporting a Department of War client by delivering practical data solutions. The role involves building data pipelines and creating visualizations using Python, SQL, and Power BI, with a strong emphasis on data integrity and security.

Responsibilities

  • Deliver data solutions for a Department of War client, including analysis, data engineering, and data science tasks.
  • Collaborate within a multi-disciplinary, high-impact project team.
  • Design and construct robust data pipelines.
  • Develop clear and actionable data visualizations.
  • Utilize Python, SQL, and Power BI to execute data-related tasks.
  • Ensure data integrity and security across solutions.
  • Adhere to best practices in data management and governance.
  • Keep abreast of the latest trends in data analytics.

Requirements

  • Active and maintained Secret clearance (federal or DoD).
  • Bachelor's Degree.
  • Five years of experience as a data scientist, data analyst, or data engineer.

Technologies

  • Python
  • SQL
  • Power BI
  • Palantir Foundry

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Potential discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

Job Family

Data Science Consulting

Travel Required

Up to 25%

Clearance Required

Active Secret

What would be nice to have

  • Proficiency in programming languages such as Python or R
  • Experience with Palantir Foundry
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills for effective teamwork
  • Experience designing and building ETL programs, interfaces, and data reconciliation processes

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