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Data Analyst

Helic & Co.

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Original Job Summary

Data Analyst at Helic & Co.

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, 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.
  • Analyze data to identify trends and actionable insights.
  • Develop and maintain dashboards, reports, and data visualizations using Tableau, Power BI, or similar tools.
  • Collaborate with stakeholders to understand and translate data requirements into technical solutions.
  • Create and maintain documentation related to data processes.
  • Perform exploratory data analysis to uncover business opportunities.
  • Assist in designing and implementing data models and databases.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field.
  • Proficiency in SQL, Excel, Python, or R.
  • 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 multitask effectively.
  • Excellent communication skills to present complex information clearly.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • R
  • Excel
  • Tableau
  • Power BI
  • Statistical Analysis
  • Data Cleaning
  • Data Visualization

How to Get Hired at Helic & Co.

🎯 Tips for Getting Hired

  • Customize your resume: Tailor it for data analysis roles.
  • Highlight technical skills: Emphasize SQL, Python, and Tableau experience.
  • Research Helic & Co.'s culture: Explore their mission and workplace values.
  • Prepare for interviews: Focus on technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and database concepts.
Practice Python and R data libraries.
Work on dashboard projects using Tableau.
Study statistical methods and modeling techniques.

Behavioral Questions

Discuss a time you solved data issues.
Explain handling multiple deadlines effectively.
Describe teamwork during complex projects.
Share examples of communicating technical data clearly.