Job Description
We are seeking a highly analytical and detail-oriented Data Analyst to join our growing team in New Orleans. This is an immediate hire opportunity for a proactive professional who thrives in a fast-paced environment. You will be responsible for interpreting complex data sets, creating comprehensive reports, and providing actionable insights that drive strategic business decisions for our diverse portfolio of clients.
At Crescent Data Solutions, we pride ourselves on fostering a culture of innovation and excellence. You will have the chance to work with state-of-the-art analytics tools and collaborate with cross-functional teams to solve complex business challenges.
Why Join Us?
• Immediate Start: Start making an impact from day one.
• Competitive Compensation: $65k - $90k DOE.
• Growth Opportunities: Clear pathway for career advancement within the analytics field.
Responsibilities
- Collect, clean, and analyze large sets of data to identify trends, patterns, and anomalies using SQL and Python.
- Design and develop interactive dashboards and visualizations in Tableau and Power BI to communicate data insights effectively.
- Collaborate with stakeholders to define key performance indicators (KPIs) and reporting requirements.
- Perform statistical analysis and forecasting to support business planning and operational efficiency.
- Maintain data integrity and ensure data quality through rigorous testing and validation processes.
- Present findings and recommendations to management in clear, concise, and visually appealing formats.
- Automate reporting processes to increase efficiency and reduce manual data entry errors.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
- 3+ years of professional experience in data analysis, business intelligence, or a similar role.
- Expert proficiency in SQL (Querying, Joins, Stored Procedures) and experience with Python or R for data manipulation.
- Strong working knowledge of Tableau or Power BI.
- Experience with ETL processes and data warehousing concepts (e.g., Snowflake, SQL Server).
- Excellent problem-solving skills and the ability to translate complex data into actionable business strategies.
- Strong communication skills with the ability to present technical concepts to non-technical audiences.