Analyst - Data Analytics
@ Talentify.io

Hybrid
$110,000
Hybrid
Full Time
Posted 2 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXX XXXXXXX****** @talentify.io
Recommended after applying

Job Details

Why Consider This Job Opportunity

Salary up to $110,000 with performance-based bonuses, comprehensive insurance coverage (Medical, Dental, Vision, and Prescription), Unlimited Time Off, Short and Long-Term Disability coverage, professional development opportunities including tuition reimbursement and training programs, and work-life balance support with flexible working arrangements.

What To Expect (Job Responsibilities)

  • Develop and deploy advanced methods to analyze operational data.
  • Serve as the point of contact for data usage and its limitations.
  • Analyze data to identify trends and provide insights.
  • Develop and implement new metrics and KPIs in BI/Dashboards.
  • Participate in project management activities to support team communication and strategy.

What Is Required (Qualifications)

  • Bachelor's degree or equivalent combination of education and experience.
  • 3+ years of professional experience, with experience in operations in Government or Healthcare.
  • Thorough understanding of healthcare, social determinants, data collection and inferential analysis.
  • Proficient in SQL, SSRS, Power BI, and SAS.
  • Reliable high-speed internet service and a secure home office workspace.

How To Stand Out (Preferred Qualifications)

  • 5 years of experience in operations in Government or Healthcare.
  • Advanced proficiency in SQL, SSRS, Power BI, and SAS.

Key skills/competency

Data Analysis, SQL, SSRS, Power BI, SAS, Healthcare, Operations, KPIs, BI, Project Management

How to Get Hired at Talentify.io

🎯 Tips for Getting Hired

  • Customize your resume: Tailor achievements relevant to data analytics.
  • Highlight technical skills: Emphasize SQL, SSRS, Power BI, and SAS proficiency.
  • Research Talentify.io culture: Review mission, values, and team success stories.
  • Prepare for interviews: Practice data-driven scenario questions and portfolio examples.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice building SSRS reports and dashboards.
Gain advanced skills in Power BI data modeling.
Strengthen SAS statistical analysis fundamentals.

Behavioral Questions

Describe a challenge resolved with data insights.
Explain teamwork during cross-functional projects.
Discuss adapting to remote work challenges.
Detail prioritizing tasks under deadlines.

Frequently Asked Questions