Data Analyst
@ Helic & Co.

Hybrid
$80,000
Hybrid
Full Time
Posted 24 days ago

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

Job Summary

Helic & Co. is seeking 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 patterns.
  • Develop and maintain dashboards, reports, and visualizations using tools such as Tableau, Power BI, or similar.
  • Collaborate with stakeholders to translate data requirements into technical solutions.
  • Create and maintain documentation on data processes and analytics.
  • Perform exploratory data analysis to uncover new business opportunities.
  • Assist in designing and implementing efficient 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 work with large datasets and manage multiple tasks effectively.
  • Excellent communication skills to present complex information clearly.

Key skills/competency

Data Analysis, SQL, Visualization, Tableau, Python, Statistics, Data Cleaning, Reporting, EDA, Documentation

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How to Get Hired at Helic & Co.

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data analysis tools and projects.
  • Emphasize technical skills: Demonstrate proficiency in SQL, Python, and Tableau.
  • Prepare examples: Share portfolio projects and case studies.
  • Research Helic & Co.'s culture: Review their mission, values, and latest news.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query techniques.
Practice Python data libraries.
Work on statistical analysis projects.
Build sample dashboards in Tableau.

Behavioral Questions

Describe a complex data challenge.
Explain stakeholder communication strategies.
Discuss prioritization of multiple tasks.
Share experiences in team collaboration.

Frequently Asked Questions