Explore an exciting opportunity as a Helic & Co. in United States, . This Full-time role is ideal for professionals interested in the Information Services sector and offers hands-on experience in the Information Technology department .
Rated 4.8/5 by employees, this opening is perfect for candidates at the Not Applicable Level Job. Posted 2 hours ago, and still accepting applications — don’t miss out.
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“Helic & Co.” Company Job Details
- Company Name: Helic & Co.
- Work Type: Full-time
- Rating: 4.8 / 5
- Location: United States,
- Industry: Information Services
- Department: Information Technology
- Experience Level: Not Applicable
- Job Creation Duration: 2 hours ago
Data Analyst Job Details | Part Time Jobs in United States
Job Summary:
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 to ensure accuracy and reliability.
- Analyze data to identify trends, patterns, and insights that inform business decisions.
- Develop and maintain dashboards, reports, and data visualizations using tools like Tableau, Power BI, or similar.
- Work closely 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 a 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 work with large datasets and manage multiple tasks effectively.
- Strong communication skills with the ability to present complex information clearly.
