Data Analyst
@ Helic & Co.

Hybrid
$80,000
Hybrid
Full Time
Posted 1 day ago

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

Job Summary

The Data Analyst at Helic & Co. is a detail-oriented and analytical role focused on collecting, processing, and performing statistical analyses on large datasets. The candidate will 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 insights.
  • Develop and maintain dashboards, reports, and data visualizations using tools like Tableau, Power BI, or similar.
  • Collaborate with stakeholders to understand requirements and translate them into technical solutions.
  • Create and maintain documentation related to data processes and analytics.
  • Perform exploratory data analysis (EDA) to uncover 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 related fields.
  • Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or Looker.
  • Strong understanding of statistical methods and data modelling techniques.
  • Ability to work with large datasets and manage multiple tasks effectively.
  • Excellent communication skills to present complex information clearly.

Key skills/competency

  • Data Analysis
  • Statistical Methods
  • SQL
  • Python
  • Excel
  • Tableau
  • Power BI
  • Data Cleaning
  • Data Visualization
  • Documentation
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How to Get Hired at Helic & Co.

🎯 Tips for Getting Hired

  • Research Helic & Co.'s culture: Understand their mission, values, and projects.
  • Customize your resume: Highlight skills in SQL, Python, and Tableau.
  • Prepare for technical questions: Practice data cleaning and visualization challenges.
  • Showcase real projects: Provide examples of data analysis work.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL query optimization.
Review Python data analysis libraries.
Experiment with Tableau dashboard projects.
Brush up on statistical data methods.

Behavioral Questions

Describe a challenging data project.
Explain teamwork on data tasks.
Discuss prioritizing multiple deadlines.
Share a conflict resolution experience.

Frequently Asked Questions