Job Description
Join our dynamic team at TechNOLA Analytics as a Data Analyst and drive impactful decisions with your analytical expertise. We're urgently seeking a skilled professional to transform complex datasets into actionable insights, supporting our mission to revolutionize business intelligence in the Gulf Coast region. This full-time role offers competitive compensation, equity options, and the opportunity to work with cutting-edge technologies in a collaborative environment.
As a key member of our data strategy team, you'll leverage advanced statistical methods and visualization tools to uncover trends, optimize operations, and present findings to stakeholders. Our commitment to innovation and professional growth ensures you'll continuously expand your expertise in data science and analytics.
Responsibilities
- Analyze complex datasets using SQL, Python, and R to identify business opportunities and risks
- Design and maintain interactive dashboards using Tableau/Power BI for real-time performance monitoring
- Collaborate with cross-functional teams to define KPIs and track success metrics
- Develop predictive models to forecast market trends and customer behavior patterns
- Present actionable insights to executive leadership through compelling data visualizations
- Optimize data pipelines for efficiency and scalability across multiple platforms
- Maintain data integrity through rigorous validation and quality assurance protocols
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 3+ years of experience in data analysis with proven portfolio of impactful projects
- Expert proficiency in SQL, Python (Pandas, NumPy), and statistical analysis
- Advanced skills in data visualization tools (Tableau, Power BI, or D3.js)
- Strong understanding of statistical modeling techniques and machine learning fundamentals
- Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies
- Exceptional communication skills with ability to translate technical findings for non-technical stakeholders