Senior Quantitative Analytics Associate - Customer Experience Analytics

JPMorgan Chase; Columbus (OH); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Tuition reimbursement

Job summary

JPMorgan Chase is looking for a Senior Quantitative Analytics Associate in Columbus, Ohio, to lead analytics projects that improve customer experience. You will engage in tasks such as data development, analysis, and presenting findings. The ideal candidate has 7+ years of experience and a Bachelor's degree in a quantitative field.

You will support key product partnerships and analyze customer interactions. A competitive rewards package is on offer, including health care and retirement plans.

Qualifications

• 7+ years of related experience.
• Graduate degree in a related field preferred.
• Experience delivering analytics solutions following Agile methodology.

Responsibilities

• Support & lead partnerships with key Product Owners.
• Lead development and reporting of performance metrics & KPIs.
• Analyze customer interactions across various channels.
• Prepare and deliver presentations of key insights.

Skills

Data analytics tools

Agile methodology

SQL

R

Python

Tableau

Alteryx

Hadoop

Statistical modeling

Education

Bachelor's degree in a quantitative or related field

Tools

Tableau

Hadoop

Spark

Job description

Job Summary

As a Senior Quantitative Analytics Associate in Customer Experience Analytics you will be involved in all phases of the analytics lifecycle, including documenting data lineage, analysis scoping, data development, hypothesis development, data analysis, generating insights, developing and delivering presentations of findings. Our team’s projects range from trend analysis to cross‑channel journey analysis to prescriptive analytics. The common theme of all the projects is data mining, business judgment and collaboration to improve the customer experience.

Job Responsibilities

• Support & lead partnerships with key Area Product Owners and Product groups with strong understanding of business drivers, underlying data and processes
• Support 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, online, mobile) 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
• Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly‑scheduled analytics meetings chaired by the analyst in this role
• 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

• 7+ years of related experience
• Bachelor's degree in a quantitative or related field
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology
• Hands‑on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta)
• Familiarity with AWS
• Familiarity with data mining, statistical modeling, machine learning and other advanced analytics methods
• Hands‑on experience writing code and automating processes to source, transform and analyze data from multiple sources

Preferred Qualifications, Capabilities, and Skills

• Graduate degree in a related field preferred
• Experience writing code and automating processes with structured and unstructured data preferred

Relocation is not offered/supported for this role.

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Equal Opportunity Statement

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.