About
Tempe, AZ Job Functions
Produce essential analytics that enable product decisions to maximize revenue (e.g., pricing optimization and segmentation), support product initiatives (i.e., analytics that support agile initiative sizing or adjustments when needed), and provide deep understanding of rising trends Support product advisors and sales teams by identifying potential risks and opportunities via data-driven analytics Automate recurring reporting and empower partners to self-serve for regular data and analysis needs Develop efficient and scalable processes by leveraging data skills and visualization tools (Tableau, etc.) that empower Product Management team and partners to self-serve for regular data and analysis needs Research, analyze, and interpret large data sets to develop data-driven insights Partner with teams such as product analytic specialists, product managers, business managers, and other analytical teammates to understand data and resolve business problems Translate business issues into data problems and use analytics to provide actionable solutions/recommendations that support overall product strategy Exercise creativity, critical thinking, analytical thinking, and collaboration to solve problems Develop spreadsheet and/or statistical models using a combination of banking and product knowledge, statistical techniques, and machine learning/optimization techniques Assist in querying data and creating metrics for product performance monitoring and analysis Lead and support data needs for special projects Participate in strategic planning of projects and initiatives Apply sound judgment in determining how to collect, interpret, transform, and analyze data to produce meaningful results Routinely recommend analytical solutions, data mining approaches, and scenario analysis to solve business problems Execute tasks independently and exercises judgment based on the analysis of multiple resources Qualifications Knowledge
Strong data knowledge with the ability to distill and synthesize various data into cohesive insights, analysis, and/or recommendation. Knowledge of statistical modeling methods, machine learning algorithms, and various advanced analytic techniques. Knowledge of bank products (e.g., credit cards, payments, deposits, and cash management products used by business and commercial clients) is preferred Required and Preferred Skills
Intellectual curiosity Collaborative work style and approach to problem solving Strong analytical and problem-solving skills Knowledgeable in data science project methodologies Strong Data analysis Skills Thought Leadership skills Process management skills Effective time management and organizational skills Strong written and verbal communication skills Flexibility to work and manage variety of projects Strong attention to detail Tableau building knowledge and strong SQL experience, also SAS, R, and BOXI skills Some UX design skill and knowledge preferred Required Education/Experience
Bachelor or Masters in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics 5+ years of banking experience, analytics and/or business intelligence space, preferred Knowledge of banking core systems, products and technology preferred
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.