Data Analyst
@ Helic & Co.

Hybrid
$80,000
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXX****** @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 Data Analyst will 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 insights for business decisions.
  • Develop and maintain dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar.
  • Collaborate with stakeholders to understand and translate data requirements.
  • Create and maintain documentation for data processes and analytics.
  • Perform exploratory data analysis (EDA) 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 a related field.
  • Proficiency in SQL, Excel, Python, or R.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Strong understanding of statistical methods and data modeling techniques.
  • Able to work with large datasets and manage multiple tasks.
  • Excellent communication skills for presenting complex information clearly.

Key skills/competency

Data Cleaning, Statistical Analysis, SQL, Python, Tableau, Power BI, Data Modeling, Visualization, EDA, Communication

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How to Get Hired at Helic & Co.

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize relevant data analytics skills and projects.
  • Research Helic & Co.'s culture: Review mission, values, and recent news.
  • Highlight technical expertise: Showcase proficiency in SQL, Python, Tableau.
  • Prepare for interviews: Practice data case studies and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and database management.
Practice Python and R coding challenges.
Enhance skills with Tableau and Power BI.
Study statistical analysis and data modeling techniques.

Behavioral Questions

Describe handling tight deadlines in data projects.
Explain teamwork during data analysis challenges.
Detail a time you resolved data discrepancies.
Discuss adapting to changing project requirements.

Frequently Asked Questions