Job Description
Are you a data enthusiast in Baton Rouge looking for a role that offers flexibility and impact? NexGen Analytics is seeking a talented Data Analyst to join our growing team. We are a forward-thinking company that values innovation, and we are proud to offer a remote-friendly work environment for qualified candidates.
In this role, you will play a pivotal part in transforming raw data into actionable business insights. You will work closely with cross-functional teams to identify trends, optimize processes, and drive strategic decision-making. If you have a passion for numbers and a knack for problem-solving, we want to hear from you.
Why Join Us?
- Flexible Work Environment: Enjoy the freedom of remote-friendly work options while staying connected to a vibrant Baton Rouge community.
- Growth Opportunities: We invest in our employees' professional development with continuous learning programs.
- Competitive Compensation: Earn a competitive salary within the $65,000 - $85,000 range.
Responsibilities
- Collect, clean, and analyze complex datasets to identify patterns and trends that drive business growth.
- Design and develop interactive dashboards and visualizations using tools like Tableau, Power BI, or Looker.
- Collaborate with stakeholders to understand business objectives and translate them into data-driven strategies.
- Perform statistical analysis and forecasting to support strategic planning and operational efficiency.
- Prepare detailed reports and presentations to communicate findings to management and non-technical audiences.
- Maintain data integrity and ensure compliance with data governance policies.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field.
- 2+ years of professional experience in data analysis or a related role.
- Strong proficiency in SQL for data querying and extraction.
- Experience with data visualization tools (Tableau, Power BI, or Looker).
- Advanced Excel skills (VLOOKUP, Pivot Tables, Macros).
- Excellent problem-solving skills and the ability to think critically about data quality.
- Strong communication skills with the ability to translate technical concepts into business value.