Auto Analytics is tasked with measuring and analyzing the current customer experience when using the banks web and mobile products and to provide actionable recommendations to enhance the consumer experience in order to build long term, profitable customer relationships.
This Senior Data Scientist Associate/Quant Analytics Analyst role will be responsible for delivering against the Product Analytics agenda and working with partners in Auto Finance and across the Consumer Bank. Key constituents will include Digital Management, Product Management, Customer Experience Design, the various consumer lines of business, risk, compliance, and controls.
As a Senior Data Scientist Associate, you will work as a member of a cross-functional team to improve the online and mobile experience for our customers. You will be responsible for building relationships with Product partners and delivering actionable Business Intelligence in clear and compelling terms. Youll have a passion for data visualization and deep analytical understanding.
Responsibilities include:
- Work with partners across Digital & Customer Experience functions and LOBs to provide data driven insights to support Digital strategic direction and growth
- Provide consultative support for Digital Product partners driven by fact-based findings
- Evolve and refine measurement frameworks and KPIs for Customer Measurement
- Proactive, self-driven analysis of large and detailed session-level data sets to create and test hypotheses, derive insights and tell the story of your findings through data visualizations to various stakeholders
- Understand end-to-end digital customer engagement funnel through data and derive insights on how to improve conversion rates
- Focus and prioritize the analytics agenda to align with overall strategy and business value
- Collaborate within Digital Analytics to enhance the quality and value of team deliverables
- Work with Data Services and Core Analytics partners to enhance overall performance of Product Analytics team
Qualifications:
- 3-5 years relevant experience analyzing customer experiences, digital experience preferred
- Demonstrated ability to define business KPIs and establish measurement frameworks
- Structured thinker with passion for analyzing results and digging deeper
- Hands on experience with behavioral and transactional analytics tools and techniques
- Experience working with Business Intelligence (BI) platforms to deliver reports and scorecards
- Proficiency in data analysis and visualization tools such as Tableau, Alteryx, Looker
- Excellent SQL experience. Strong SAS, Python, R, Spark, Scala desired
- Hadoop Hive and Teradata experience a plus
- Ability to communicate effectively with executives, business partners, and technical resources in analytics and data management
- Strong PowerPoint and slide-writing skills to deliver analytical insights preferred
- Post MBA Strategy and/ or Management Consulting experience preferred
- Ability and desire to work in a start-up paced environment and culture
Keyword: consumer%20banking
Auto Analytics is tasked with measuring and analyzing the current customer experience when using the banks web and mobile products and to provide actionable recommendations to enhance the consumer experience in order to build long term, profitable customer relationships.
This Senior Data Scientist Associate/Quant Analytics Analyst role will be responsible for delivering against the Product Analytics agenda and working with partners in Auto Finance and across the Consumer Bank. Key constituents will include Digital Management, Product Management, Customer Experience Design, the various consumer lines of business, risk, compliance, and controls.
As a Senior Data Scientist Associate, you will work as a member of a cross-functional team to improve the online and mobile experience for our customers. You will be responsible for building relationships with Product partners and delivering actionable Business Intelligence in clear and compelling terms. Youll have a passion for data visualization and deep analytical understanding.
Responsibilities include:
- Work with partners across Digital & Customer Experience functions and LOBs to provide data driven insights to support Digital strategic direction and growth
- Provide consultative support for Digital Product partners driven by fact-based findings
- Evolve and refine measurement frameworks and KPIs for Customer Measurement
- Proactive, self-driven analysis of large and detailed session-level data sets to create and test hypotheses, derive insights and tell the story of your findings through data visualizations to various stakeholders
- Understand end-to-end digital customer engagement funnel through data and derive insights on how to improve conversion rates
- Focus and prioritize the analytics agenda to align with overall strategy and business value
- Collaborate within Digital Analytics to enhance the quality and value of team deliverables
- Work with Data Services and Core Analytics partners to enhance overall performance of Product Analytics team
Qualifications:
- 3-5 years relevant experience analyzing customer experiences, digital experience preferred
- Demonstrated ability to define business KPIs and establish measurement frameworks
- Structured thinker with passion for analyzing results and digging deeper
- Hands on experience with behavioral and transactional analytics tools and techniques
- Experience working with Business Intelligence (BI) platforms to deliver reports and scorecards
- Proficiency in data analysis and visualization tools such as Tableau, Alteryx, Looker
- Excellent SQL experience. Strong SAS, Python, R, Spark, Scala desired
- Hadoop Hive and Teradata experience a plus
- Ability to communicate effectively with executives, business partners, and technical resources in analytics and data management
- Strong PowerPoint and slide-writing skills to deliver analytical insights preferred
- Post MBA Strategy and/ or Management Consulting experience preferred
- Ability and desire to work in a start-up paced environment and culture
Keyword: consumer%20banking
Jobs Rated Reports for Data Scientist