Job Description
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations, but is strategically positioned to partner with and support nearly every part of the company including; Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, and IT. We align to our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will sit in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
Job Responsibilities:
* Synthesize data from our analytics tools into actionable insights about customer and prospect behavior, digital sales and servicing performance, and customer value delivery. Clearly communicate these recommendations to internal stakeholders and senior leadership
* Actively participate in cross-functional initiatives, collaborating with team members to achieve and measure project success. Provide opportunity analysis, measurement plans, dashboards, and post-release/testing analyses
* Ability to quickly grasp complex technical concepts and make them easily understandable through various communication mediums like visualizations and presentations
* Extract and analyze data using analytics tools such as Python, R, and/or SAS
* Create compelling, intuitive dashboards to enable the business with critical metrics, with a focus on data automation, anomaly detection, and actionable data visualizations
* Partner with Digital, Marketing, Product and IT partners to evaluate the success of new initiatives
* Collaborate with Fraud and Risk partners to identify and mitigate threats to assets
* Apply visualization techniques to internal and external data sources to make accurate and actionable analyses in a timely fashion
* Be a partner in the building of KPIs and metrics that help to gauge the health and success of our digital and Omni assets and initiatives
* Create self-service dashboards for internal business partners to learn, understand, have access to, and derive insights from data, metrics, and KPIs
* Apply automation techniques to manual processes to create efficiency, improve accuracy, and build upon successes that create a suite of self-service assets
Required Skills & Experience
- Masters Degree (or one in progress) or PhD
o If bachelors need to have very strong data analytics/science experience
- 1+ year or professional experience in Data Analytics (will also consider sharp recent grads)
- Experience or strong knowledge of SQL, queries
- Experience with programming languages R, Python, or SAS
- Snowflake experience
- Strong soft skills, willing to face challenges, make contributions
- Knowledge or Business intelligence and data mining tools - Tableau and Tableau Server preferred, Alteryx, or SAS Enterprise Guide/Miner, BusinessObjects, MicroStrategy
- * Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop
Nice to Have Skills & Experience
* Developing and applying statistical or machine learning methods in a corporate environment through applications such as R, Python, or SAS
* Extensive experience with programming languages R or Python
* Programming languages Java or C++ in a data mining context
* Building web-based applications using HTML, CSS, Perl, and JavaScript
* Experience with web analytics tools and implementation - Adobe Analytics (formerly Omniture SiteCatalyst), Google Analytics, IBM Digital Analytics (formerly Coremetrics), Webtrends
* A/B testing tools (Optimizely, Adobe Target, etc.) and effective test design (establishing sample sizes, statistical significance measurement, etc.)
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.