Job Description
Are you a detail-oriented analyst looking to drive strategic decisions from a home office? DataDriven Solutions LLC is seeking a highly skilled Data Analyst to join our expanding team in Omaha, NE. We are proud to offer a fully remote work environment, allowing you to collaborate with top-tier talent across the United States while enjoying the lifestyle of the Heartland.
In this role, you will bridge the gap between complex data sets and actionable business insights. You will be responsible for collecting, processing, and performing statistical analyses on large data sets. Your work will directly influence our product development and marketing strategies, ensuring we remain at the forefront of industry innovation.
Why Join Us?
- Flexible Remote Work: Enjoy the freedom to work from anywhere in the US, with a focus on Omaha-based collaboration.
- Competitive Compensation: We offer a salary range of $75k-$100k based on experience.
- Professional Growth: Access to continuous learning opportunities and certification support.
- Modern Tech Stack: Work with the latest tools including Python, SQL, and Tableau.
Responsibilities
- Extract, clean, and transform raw data from various sources using SQL and Python.
- Design and develop interactive dashboards and visualizations in Tableau and Power BI to track KPIs and performance metrics.
- Collaborate with cross-functional teams (Marketing, Sales, Operations) to identify key business problems and propose data-driven solutions.
- Conduct statistical analysis and predictive modeling to forecast trends and support strategic planning.
- Create comprehensive reports and presentations for executive leadership, translating technical findings into business value.
- Ensure data accuracy, integrity, and compliance with internal data governance policies.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field.
- 3+ years of professional experience as a Data Analyst or similar role.
- Strong proficiency in SQL (writing complex queries, joins, and stored procedures).
- Expertise in data visualization tools such as Tableau, Power BI, or Looker.
- Proficiency in Python or R for data manipulation and analysis.
- Experience with ETL processes and data warehousing concepts.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.