Data Analyst
@ Helic & Co.

Hybrid
$75,000
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @helicco.com
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Job Details

Job Summary

We are looking for a detail-oriented and analytical Data Analyst to collect, process, and perform statistical analyses on large datasets. The ideal candidate has a strong foundation in data analytics, excellent critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making.

Key Responsibilities

  • Collect, clean, and validate data from multiple sources for accuracy.
  • Analyze data to identify trends, patterns, and actionable insights.
  • Develop and maintain dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar.
  • Collaborate with stakeholders to translate data requirements into technical solutions.
  • Create and maintain documentation related to data processes and analytics.
  • Perform exploratory data analysis to uncover new business opportunities.
  • Assist in designing and implementing data models and databases for optimal performance.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in SQL, Excel, Python, or R for data analysis.
  • Experience with data visualization tools like Tableau, Power BI, or Looker.
  • Strong understanding of statistical methods and data modeling techniques.
  • Ability to manage large datasets and multiple tasks simultaneously.
  • Excellent communication skills with the ability to present complex information clearly.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • R
  • Tableau
  • Power BI
  • Data Cleaning
  • Data Visualization
  • Statistics
  • Critical Thinking
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How to Get Hired at Helic & Co.

🎯 Tips for Getting Hired

  • Research Helic & Co.'s culture: Explore their mission and recent achievements.
  • Customize your resume: Emphasize your data analysis expertise.
  • Optimize technical skills: Highlight SQL, Python, and visualization tools.
  • Practice interview questions: Prepare on data-driven problem solving.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries and data extraction.
Refresh Python and R programming skills.
Build and update dashboards on Tableau.
Review data modeling and statistical methods.

Behavioral Questions

Describe handling tight deadlines effectively.
Explain solving complex data problems.
Discuss communicating findings with non-technical teams.
Share a time of collaboration with stakeholders.

Frequently Asked Questions