Senior Analyst, Operations Analytics (L08)

Job ID: 2502918

Job Description:

Role Title: Senior Analyst, Operations Analytics (L08) 

Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• Synchrony celebrates ~51% women diversity.

• We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.

Organizational Overview:

Operations Reporting & Insights team provides Synchrony Operations Teams critical/important, timely, and accurate standardized reporting through direct stakeholder engagement. The Vision of the team is to build a better internal customer experience, one opportunity at a time

What we do:

• Daily, Weekly, Monthly, Quarterly Standardized Report Production

• Adhoc data requests for Operations stakeholders, CFPB, Legal, Risk, etc.

• New or adjustments to current report builds

• Lead prioritization process for EO DWH Agile team

• Partner with Data Governance Organization and connection into EDL for Operations.

• Acting Data Steward for Operations Call Center data

• Identify emerging technologies in support of Orgs Dissemination and Automation Strategy

• New client/functionality integrations into all existing reporting

• Work with DWH to ensure data projects are completed according to requirements

How we do it:

• We utilize Agile tracking (JIRA Board) and build processes throughout the team

• Explicitly task defined teams within the org. (Run, Engagement, and Data Management)

• Production and initial validation through automation

• Free flowing resource or work movement between teams based upon project skill needs

• Metric based driven organization to determine team’s efficiency and effectiveness

Role Summary/Purpose:
As a Senior Analyst, Operations Analytics– You will be responsible for work on various business initiatives that contribute to Synchrony Financial growth and productivity objectives which includes work on different variety of tools like SAS, Tableau, etc for reports, key metrics and giving insights to the business on operational data. The role also involves in supporting other teams, identifying the process for automation, and streamlining them independently and are delivered on time.

This position is remote, where you have the option to work from home. On occasion we may request for you to commute to our nearest office for in person engagement activities such as team meetings, training and culture events. To ensure the safety of our colleagues and communities, we require employees who come together in-person to be fully vaccinated. We’re proud to offer you choice and flexibility.

Key Responsibilities:

Champion Customers

• Maintain quality of output in Operations reporting and by ensuring accuracy & timely delivery of reports and projects

• Production of reports as per the frequency without any misses

• Document and maintain SOPs for Operations reporting processes

Act As Owners

• Maintain and track ticket closures which are assigned

• Document and maintain issue tracker. Ensure communication of RCA’s

Relate & Inspire

• Collaborate with the larger teams and process owners on the business processes.

• Able to work with minimal direction and take complete ownership but seeks input when appropriate

Elevate Every Day

• Identifying the process for automation, streamline them and liaise with business with the ideas/approaches.

• Creating Dashboards in Tableau.

• Writing SAS & SQL code according to the business requirement.

Required Skills/Knowledge

• Bachelor's degree in any discipline with 1-2 years of SAS & SQL coding experience; OR in lieu of a degree, 3-4 years of SAS & SQL coding experience.

• Experience with Building/Creating New Tableau Dashboard

• Experience in setting up new reporting procedures and processes

• Working experience in reporting processes

• Strong written/oral communication skills

• Able to work hours that compliment US, not necessarily match but have some degree of overlap.

Desired Characteristics:

• Knowledge of Retail Finance Business

• Writing python scripts

• Strong Communication skills with the ability to interact with all levels of the organization

• Proven ability to perform work independently

• Desire to learn new elements of data preparation

Eligibility Criteria:

Bachelor's degree in any discipline with 1-2 years of SAS & SQL coding experience; OR in lieu of a degree, 3-4 years of SAS & SQL coding experience.

Work Timings: 1pm to 10pm IST

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager and HRM before applying for any role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (First Formal/Final Formal, LPP)

• L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible.

• L8 Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.

• L04+ Employees can apply

Grade/Level: 08

Job Family Group:

Data Analytics