Job Description
Join our dynamic team at Crescent Analytics Group and make an immediate impact on New Orleans' growing tech landscape! We're urgently seeking a talented Data Analyst to transform raw data into actionable insights that drive strategic decisions. This is a rare opportunity to join a mission-driven organization offering competitive benefits, flexible work arrangements, and career advancement opportunities.
As a key member of our analytics department, you'll work with cross-functional teams to solve complex business challenges while contributing to innovative projects that shape the future of our city's digital economy. If you're passionate about data-driven storytelling and thrive in fast-paced environments, we encourage you to apply immediately.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical methods
- Create compelling data visualizations and dashboards using Tableau and Power BI to communicate insights to stakeholders
- Collaborate with product and marketing teams to define KPIs and track performance metrics
- Develop automated reporting systems to streamline data delivery and improve decision-making processes
- Conduct ad-hoc analyses to support business initiatives and provide actionable recommendations
- Maintain data integrity through rigorous validation and quality assurance protocols
- Present findings to executive leadership through clear, concise presentations
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 3+ years of professional data analysis experience with proven track record
- Advanced proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
- Strong statistical analysis skills with experience in A/B testing and experimental design
- Excellent business acumen and ability to translate technical findings into strategic insights
- Portfolio demonstrating data-driven projects with measurable business impact
- Experience working with large datasets and cloud platforms (AWS/GCP/Azure)
- Ability to prioritize projects and deliver results in fast-paced environments