Data Analytics Associate (SQL, Python, Tableau, Alteryx)

Job Responsibilities:
This is a vital hands-on role so we’re looking for exceptionally creative, ambitious, "data curious" thinkers who can help to extract true business value from data. A typical day might include:

• Support & lead partnerships with key Operations stakeholders and Operations Product groups with strong understanding of business drivers, underlying data and processes
• Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies
• Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points
• Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools and quantitative methods such as trend analysis, segmentation, forecasting, optimization, and other techniques to improve business function performance.
• Creating self-serve tools to put real-time information in the hands of decision-makers

• Bachelor’s / Masters Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field with 5+ years of data science experience 
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus
• Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts
• Experience delivering analytics solutions under strict timelines quick turn-around time
• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
• Hands-on experience with standard data analytics tools and technologies ( at least four of SQL, Python, SAS, Tableau, Alteryx)
• Proven track record in solving business problems through fact-based and scientific analytics, like to focus on solving problems

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  Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives
• Recognize the stories in the data and tell them in ways that illuminate which customers are likely to do what next
• Are comfortable summarizing key information and presenting recommendations to multiple stakeholders to influence senior management
• Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency

Preferred Qualification, Skills and capabilities: 

• Previously worked in an insights function at a financial services firm or consulting firm supporting Financial firms.
• Have a strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies
• Are a lifelong learner and hold a growth mindset; we welcome individuals who geek out on industry podcasts, stay abreast of cutting edge techniques, and love to share what they are learning with the rest of the team