Data Analyst
@ Helic & Co.

Hybrid
$90,000
Hybrid
Full Time
Posted 15 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @helic-co.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 role supports strategic decision-making by transforming data into actionable insights.

Key Responsibilities

  • Collect, clean, and validate data from multiple sources.
  • Analyze data to identify trends, patterns, and insights.
  • Develop and maintain dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar.
  • Collaborate with stakeholders to understand data requirements and design technical solutions.
  • Create and maintain documentation on data processes and analytics.
  • Perform exploratory data analysis (EDA) to uncover new 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 fields.
  • 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 modelling techniques.
  • Ability to manage large datasets and multiple tasks efficiently.
  • Excellent communication skills to present complex information clearly.

Key skills/competency

  • Data Cleaning
  • Statistical Analysis
  • Dashboard Development
  • Data Visualization
  • SQL
  • Python
  • R
  • Excel
  • Documentation
  • Exploratory Data Analysis
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How to Get Hired at Helic & Co.

🎯 Tips for Getting Hired

  • Research Helic & Co.'s culture: Understand their mission and values.
  • Customize your resume: Highlight relevant data analysis experience.
  • Prepare for technical interviews: Practice SQL, Python, and statistical problems.
  • Showcase project work: Demonstrate dashboard and visualization skills.

📝 Interview Preparation Advice

Technical Preparation

Practice writing SQL queries.
Review Python data libraries.
Develop sample Tableau dashboards.
Complete data cleaning exercises.

Behavioral Questions

Describe a challenging project.
Explain teamwork in data tasks.
Discuss handling tight deadlines.
Share conflict resolution examples.

Frequently Asked Questions