Tableau Developer

Roles Description:

Analytics and Reporting Analysts are strong in quantitative analysis, enjoying coding but also want to balance that with their interest in business. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. Analysts are strong communicators who are eager to learn, endlessly curious, take pride in hard work and are committed to rapidly contributing to business performance.
Essential Duties and Responsibilities include the following:

- Consulting with internal customers (e.g., Retail Operations, Marketing, Collections, Accounting, Risk) to develop analyses that lead to actionable insights that accelerate profitable growth

- Wrangling data from multiple sources including internal point of sale, collections, and customer databases, as well as, external data sources to create integrated views that can be used to drive decision making

- Engage with metric owners from the business to identify key causes behind data trends/irregularities

- Working with several large and complex SQL databases

- Designing and developing dashboards and analyses in Tableau

- Performs complex SQL query development and reviews.

Job Specifications:
- Highly analytical data junkie who enjoys development
- Analytical, creative, and innovative approach to solving problems
- Demonstrated exceptional SQL programming skills 
- Troubleshooting and data manipulation tasks. 
- Attention to detail. 
- Ability to work collaboratively in a matrix environment
- Strong teamwork, leadership and collaboration skills. 
- Strong written and verbal communication
- Bachelor's degree in Computer Science, Mathematics, or other related quantitative fields (or equivalent work experience) is required
- Over 1 year experience in data mining or business intelligence / analytics
Optional and Bonus Specifications:
- Experience with Tableau or comparable Data Visualization tool
- Statistical analysis / modeling background (Monte Carlo, Regression, Decision Tree, Predictive Modeling)
- Financial Services industry experience