Service Product Analytics Team - Quant Analytics Senior Associate Job Columbus area,Ohio USA,IT/Tech

Join a team of a talented, highly motivated individuals with strong data analysis and strategic thinking skills to support advanced analytics projects across Operations functions, channels and products.

As a Quant Analytics Senior Associate, within our Service Product Analytics Team, you will be responsible for deriving insights about our customers’ journey across Service Operation by developing and implementing innovative strategies and advanced analytics solutions to improve the customer and service agent experience and work collaboratively with all functional teams across Operations as well as Strategic and Analytics teams.

Job Responsibilities:

Support and lead partnerships with key Area Product Owners and Product groups with strong understanding of business drivers, underlying data and processes for the demand mitigation programs by providing data and analytics leadership across the servicing organization
Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance.
Analyze customer interactions and events across a variety of channels (calls, branch, digital) to better understand customer journeys and friction points
Contribute to business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies.
Support the creation of dashboards and visualizations to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics
Leverage the agile process to deliver on a wide range of business and product-focused analytics including building and updating business cases, exploratory analysis to identify product enhancement opportunities, generating feature performance metrics and dashboards, and crafting data stories and presentations of key findings to stakeholders
Leverage enterprise data to develop the right automated data solutions using a mix of customer, account, digital, telephony, financial and operational data

Required Qualifications , Capabilities, and

Skills:

3+ years of related experience;
Bachelor's degree in a quantitative or related field or Graduate degree in a related field preferred
Proficiency in SQL for data querying and manipulation
Hands-on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop)
Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology
Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills

Preferred Qualifications , Capabilities, and

Skills:

Familiarity with AWS, data mining, statistical modeling, machine learning and other advanced analytics methods
Familiarity with Cloud technologies such as Snowflake a plus