Senior Quant Analytics – Customer & Ops Insights Lead

Aumni

Wilmington (DE)

On-site

USD 120,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Job summary

Chase seeks a Quant Analytics Senior Associate to drive analytics across Operations, channels and products, deriving insights to improve customer journeys and reduce operating costs. You will lead lifecycle activities from data lineage to presenting findings that influence strategic decisions.

You will build dashboards, perform agile analytics, and leverage enterprise data to create automated data solutions using customer, account, digital, telephony, financial and operational data.

Qualifications

  • Bachelor's degree in a quantitative or related field; 5+ years of related experience.
  • Proficiency in SQL for data querying and manipulation.
  • Hands-on experience with standard data analytics tools such as SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta.

Responsibilities

  • Support and lead partnerships with Area Product Owners and Product groups using data to drive decisions.
  • Lead development and reporting of Ops performance metrics & KPIs and use trend analysis to improve performance.
  • Analyze customer interactions across calls, branches, online, and mobile to understand journeys and friction points.
  • Prepare and deliver presentations summarizing insights for executives in analytics meetings.

Skills

SQL
Python
R
Tableau
Alteryx
Hadoop
Hive
Spark
Impala
Sqoop
RDBMS
Trifacta
Agile
AWS

Education

Bachelor's degree in a quantitative or related field

Tools

SQL
R
Python
Tableau
Alteryx
Hadoop
Hive
Spark
Impala
Sqoop
RDBMS
Trifacta

Job description

Chase seeks a Quant Analytics Senior Associate to drive analytics across Operations, channels and products, deriving insights to improve customer journeys and reduce operating costs. You will lead lifecycle activities from data lineage to presenting findings that influence strategic decisions.

You will build dashboards, perform agile analytics, and leverage enterprise data to create automated data solutions using customer, account, digital, telephony, financial and operational data.

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