Data Analyst - Business (Remote)
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Key skills for this role
Role Overview
The employer is hiring a contract Data Analyst for a client.
The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.
Key Skills for This Role
Full Job Posting
Role overview
The employer is hiring a contract Data Analyst for a client.
The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.
Location and work arrangement
- The role is remote and allows work from anywhere.
- The position supports flexible collaboration across time zones.
Payout
- The stated payout is $30 to $100 per hour.
Key responsibilities
- Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.
- Develop and maintain dashboards and reports to communicate key metrics and insights.
- Collaborate with cross-functional teams to define data requirements and align with business objectives.
- Generate ad-hoc reports and visualizations to support decision-making across departments.
- Ensure data accuracy and consistency through validation and quality checks.
Required skills and qualifications
- Proficiency in SQL for querying and manipulating relational databases.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Strong analytical skills with the ability to interpret complex data sets.
- Familiarity with statistical analysis and data modeling techniques.
- Knowledge of Python or R for data processing and analysis is required.
- Experience with Excel, including advanced functions and pivot tables.
- Attention to detail and ability to work independently with minimal supervision.
- Strong communication skills to present findings clearly to non-technical stakeholders.
Opportunity context
The work supports data-driven decision-making and strategic initiatives for an organization in software development, technology, information and internet, data infrastructure, and analytics.
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