Data Analyst I
@ Talentify.io

Hybrid
$85,000
Hybrid
Full Time
Posted 1 day ago

Your Application Journey

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXX******* @talentify.io
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Job Details

Why Consider This Job Opportunity

Competitive compensation designed to reflect your expertise and contribution. Comprehensive health, dental, and vision insurance plans. Robust life insurance benefits and retirement plans including company-matched 401k and pension plan. Paid holidays and time off. Opportunities for continued education reimbursement and professional growth. Flexible remote work option.

What To Expect (Job Responsibilities)

Utilize analytics and programming languages such as SQL, Python, or R to identify trends and analyze data. Clean and prepare data from various sources to ensure accuracy and readiness for reporting. Create routine and ad hoc reports to track and measure key performance indicators (KPIs). Develop visually appealing and interactive dashboards, reports, and presentations. Present data findings and actionable insights to management for informed decision-making.

What Is Required (Qualifications)

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business, or a related field. Proficiency in SQL, Excel, Python, R, and data manipulation. Experience with data visualization tools (e.g., Tableau, Power BI). Strong analytical and problem-solving skills with attention to detail. Excellent communication and presentation abilities.

How To Stand Out (Preferred Qualifications)

Specialized certifications for programming languages or data analysis techniques. Experience working independently and collaboratively in a fast-paced environment.

Key skills/competency

  • SQL
  • Python
  • R
  • Excel
  • Tableau
  • Power BI
  • Data Visualization
  • Data Cleaning
  • Reporting
  • Analytics
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How to Get Hired at Talentify.io

🎯 Tips for Getting Hired

  • Research Talentify.io: Learn company culture and mission online.
  • Customize Resume: Highlight skills in SQL, Python, and Tableau.
  • Network Online: Connect via LinkedIn with current employees.
  • Showcase Projects: Demonstrate data visualization and analysis work.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries and Python scripts.
Review data cleaning techniques and processes.
Build projects using Tableau and Power BI.
Study SQL optimization and database management.

Behavioral Questions

Discuss a challenging data project.
Explain teamwork in remote settings.
Describe problem-solving under tight deadlines.
Share experiences presenting data insights.

Frequently Asked Questions