AVP, Analytics – Enterprise Marketing Measurement and Insight (L10)
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Job Description:
Role Title : AVP, Analytics – Enterprise Marketing Measurement and Insight (L10)
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 #5 among India’s Best Companies to Work for 2023, #21 under LinkedIn Top Companies in India list, and received Top 25 BFSI recognition from Great Place To Work India. We have been ranked Top 5 among India’s Best Workplaces in Diversity, Equity, and Inclusion, and Top 10 among India’s Best Workplaces for Women in 2022. We offer 100% Work from Home flexibility for all our Functional employees and provide some of the best-in-class Employee Benefits and Programs catering to work-life balance and overall well-being. In addition to this, we also have Regional Engagement Hubs across India and a co-working space in Bangalore.
Organizational Overview:
Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth.
Role Summary/Purpose:
AVP, Analytics – Enterprise Marketing Measurement and Insight (individual contributor) role is a part of India Analytics Hub (IAH) and reports to Marketing Measurement leader in IAH.
The desired employee is expected to actively contribute to the execution of the strategic roadmap along with deliver actionable and scalable solutions to measure effectiveness of enterprise-wide campaigns. This role will be pivotal in ensuring our marketing campaigns are data-driven, highly effective, and continuously optimized to achieve the best results.
The position is remote, where you have the option to work from home.
Key Responsibilities:
Lead and execute Enterprise and Platform specific analytics projects/solutions from scoping to delivery, thereby providing actionable insights/best practices based on sales and profitability for all campaigns across all channels.
Partner with other teams to define and monitor KPIs to evaluate the success of campaigns and optimize ROMI. Leverage these metrics to create and present net new strategic solutions to senior leadership, showcasing campaign performance, insights, and recommendations for improvement.
Partner with Team lead to drive adoption across the enterprise.
Support strategic initiatives and analytic solutions building end-to-end, as assigned time to time
Help maintain documentation of all tools and solutions to drive clarity on processes/definitions as well as knowledge retention
Establish a strong partnership with stakeholders through consistent delivery, transparency and problem solving mindset
Deliver projects, adhering to expected timelines, accuracy & compliance with meticulous project management and mentor team members on analytical, technical and functional subject matters
Actively Participate in internal initiatives, perform other duties and/or special projects, as assigned.
Required Skills & Knowledge:
4+ years of hands-on Experience in SQL /SAS with proven ability to leverage advanced algorithms and be efficient in handling complex/large data
2+ years of experience in BI tools, e.g. Power BI, Tableau, Birst, etc.
2+ years in marketing analytics, with a focus on campaign measurement and optimization
2+ years in building analytics to drive strategy with positive outcomes and measuring impact
Advanced knowledge of statistical methods, A/B testing, and multivariate testing.
Ability to solve complex technical and people-oriented problems with minimal supervision
Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills
Strong written/oral communication & stakeholder management skills
Desired Characteristics:
Superior thought leadership and framework based solutioning abilities
Experience in storytelling, presenting to senior leaders with strong communication skills
Innovative mindset that looks to improve current capabilities and discover new ones
Experience working with Python and R, preferably in a Linux-based cloud environment such as AWS
Experience in mentoring team members with ability to motivate team, drive change, create a culture of learning, innovation and recognition
Experience with modeling/forecasting
Eligibility Criteria :
Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 6+ years of relevant analytics/data science experience.
Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.
The position is remote, where you have the option to work from home.
For Internal Applicants:
Understand the criteria or mandatory skills required for the role, before applying
Inform your manager or HRM before applying for the role on Workday
Ensure that your professional profile is updated (fields such as education, prior experience, 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, PIP)
L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible
L8 + Employees can apply
Grade/Level: 10
Job Family Group:
Data Analytics