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Data Analyst

Helic & Co.

HybridHybrid

Original Job Summary

Job Summary

The Data Analyst at Helic & Co. is responsible for collecting, processing, and performing statistical analyses on large datasets 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 data visualizations using tools like Tableau, Power BI, or similar.
  • Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
  • Create and maintain documentation related to data processes and analytics.
  • Perform exploratory data analysis (EDA) 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 related field.
  • 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 manage large datasets and multiple tasks effectively.
  • Excellent communication skills to present complex information clearly.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • Tableau
  • Power BI
  • Exploratory Data Analysis
  • Data Visualization
  • Statistical Methods
  • Data Cleaning
  • Documentation

How to Get Hired at Helic & Co.

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your skills and experience for data analysis.
  • Highlight Tools: Emphasize SQL, Python, Tableau expertise.
  • Network Effectively: Connect with Helic & Co. employees on LinkedIn.
  • Prepare for Interviews: Review data projects and case studies.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries and Python scripts.
Review data visualization techniques with Tableau.
Brush up on statistical analysis methods.
Study dashboard creation in Power BI.

Behavioral Questions

Describe challenging data problem solved.
Explain team collaboration instances.
Share experience managing multiple priorities.
Discuss adapting to evolving requirements.