Data Analyst I Remote
@ Globe Life

Hybrid
$70,000
Hybrid
Full Time
Posted 23 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX***** @globelife.com
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Job Details

Data Analyst I Remote

Globe Life is looking for a Data Analyst I to join our team in a fully remote role. You will interpret data, analyze results, and provide actionable insights to drive informed decision-making across the company.

Primary Duties & Responsibilities

  • Utilize SQL, Python, or R to analyze data trends.
  • Clean and prepare data from multiple sources.
  • Validate data accuracy, completeness, and integrity.
  • Create routine and ad hoc reports to track KPIs.
  • Develop interactive dashboards and presentations.
  • Translate data insights into actionable business recommendations.
  • Analyze business processes to identify opportunities for improvement.

What You Can Bring

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business or related field.
  • Proficiency in SQL, Excel, Python, R, and data manipulation.
  • Experience with data visualization tools like Tableau or Power BI.
  • Strong analytical, problem-solving, communication, and presentation skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

How Globe Life Will Support You

Globe Life offers competitive compensation, comprehensive insurance plans, robust retirement benefits, paid time off, parental leave, mental health support, continued education reimbursement, and unique perks like discounted Texas Rangers tickets.

Key skills/competency

  • SQL
  • Python
  • R
  • Data Cleaning
  • Data Visualization
  • Excel
  • Tableau
  • Power BI
  • Analytical
  • Reporting
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How to Get Hired at Globe Life

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to match Globe Life needs.
  • Leverage keywords: Highlight SQL, Python, and data analysis experience.
  • Research Globe Life: Understand company culture and mission statement.
  • Prepare for interviews: Practice technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query techniques.
Practice Python and R coding exercises.
Experiment with data visualization tools.
Refresh data cleaning and integrity skills.

Behavioral Questions

Describe time managing tight deadlines.
Explain conflict resolution in teamwork.
Discuss handling ambiguous project goals.
Detail improving processes collaboratively.

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