AVP, Analytics

Synchrony

AVP, PayPal Analytics developing analytical solutions for business growth. Collaborating with global teams to optimize marketing strategies and customer insights.

Posted 4/11/2026full-timeHyderabad • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Lead, independently manage and deliver portfolio analytics solutions.
Provide hands-on analytic support to the PayPal as and when required and proactively manage analytic projects with weekly update on timeline, status, and resource allocation.
Spearhead analytics delivery for new product launches, value propositions, customer acquisitions, lifecycle marketing and customer experience initiatives.
Work on analytic solutions catering to business priorities and provide solutions to optimize business value and customer experience.
Create test and learn culture through ongoing assessment of marketing programs/campaigns.
Participate in internal initiatives beyond core project work.
Cultivate strong relationships with Analytics Partners, sales and marketing leaders to effectively communicate the value proposition and enhance client engagement.
Develop impactful presentations that tell a compelling story using data, highlighting actionable insights and recommendations.
Explore and adopt latest tools and techniques in the industry and leverage them for business growth including initiatives to promote the use of open-source technologies.
Actively discuss the projects, showcase & support implementation and calculate business impact.
Deliver projects adhering timelines, accuracy & compliance with meticulous project management.
Proactive & regular communication with Stakeholders on Projects & People

Requirements

What you’ll need

Bachelor's Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics experience or in lieu of a degree min 6+ years of hands-on relevant analytics experience
Minimum 4 years of experience in building analytical solutions to drive positive outcomes and to measure impact
Minimum 4 years of hands-on SQL and SAS programming experience with an ability to leverage advanced algorithms and be efficient in handling complex/large data sets
Good working knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills
Ability to work in matrix organization, make and enable data driven decisions
Demonstrated ability to manage complexity/ambiguity and multiple initiatives

Benefits

Comp & perks

best-in-class employee benefits
career advancement and upskilling opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLSASstatistical testsdistributionsregressionmaximum likelihood estimatorsdata analysisanalytics solutionsproject managementadvanced algorithms

Soft Skills

communicationrelationship buildingproblem solvingdata-driven decision makingcomplexity managementambiguity managementpresentation skillscollaborationproactive managementstoryboarding