Senior Analyst - Small Business Card & Rewards Analytics

AMERICAN EXPRESS

3 - 8 years

30 - 35 Lacs

gurugram

Posted:1 day ago| Platform:

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Skills Required

career development finance analytical business strategy customer engagement operations analytics product marketing sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Senior Analyst, Small Business Card Rewards Analytics will lead the strategy and execution of SBS card product performance, engagement, and usage analytics delivering insights to expand and deepen our relationship with customers. This critical role will partner with product, marketing, credit risk, and finance teams to inform rewards constructs and benefits-led product line strategies that differentiate American Express offerings in the marketplace while driving balanced economics.
This role represents a unique opportunity to leverage applied quantitative experience to directly shape business strategy and role requires a high level of expertise in driving decisions backed by data insights, deploying advanced predictive and statistical methodologies, leading strategic analytics, and designing scalable data assets.
The ideal candidate will bring a unique balance of technical skills combined with a strategic mindset and the ability to communicate effectively.
They will be able to work in white space with unstructured problems and build successful partnerships with a large variety of teams and business units to identify opportunities and influence outcomes.

Responsibilities:

Translate business problems into data strategies and drive analytical workstreams on SBS customer engagement, card benefit usage, rewards, and retention leveraging analytical techniques
Drive the strategy and execution for creation of SBS card transaction and customer data assets including migration of source data to cloud environment and design of sustainable, optimized data structure
Develop and build SBS card performance reporting and key performance indicator measurement using BI tools (ie Tableau)
Model expected impact on business of potential charge product features and enhancements and advise senior leaders on product roadmap
Design, launch and measure tests of product construct configurations to increase rewards and benefits awareness, redemption, and spend; Build analytical frameworks for robust measurement when clear A/B testing doesnt exist.
Identify and build behavior-based segmentation to provide insights into customer behavior and drive recommendations for business priorities.
Manage and prioritize demands for data, ad hoc analytics, and reporting from multiple stakeholders, reallocating resources as necessary to ensure alignment with business priorities

Minimum Qualifications:

Relevant professional experience including experience in hands-on analytical role(s) leveraging data to drive decisions, translate operational performance into financial implications, and influencing business strategies
Experience building sustainable data assets using cloud-based analytical tools, querying languages, and visualization software (eg, SQL, Python, Databricks, Tableau) is a must
Good understanding of card economics and performance drivers with proven success in driving business results via strategic analysis. Experience in Charge/Loyalty analytics is a plus.
Excellent written and verbal communication skills with the ability to explain technical concepts and analytics-driven findings to non-technical stakeholders, and to explain business processes, concepts, and issues to technical resources
Team player with proven ability to influence and collaborate with others across all levels of an organization
Proven track record translating business problems into data strategies and solutions, leading complex, multi-stage analytical workstreams, and advising senior leadership on data-based insights
bachelors degree preferably in a quantitative field (eg statistics, engineering, math, science, economics, etc)

Preferred Qualifications:

Expertise in data science and advanced analytical techniques including clustering, machine learning, and statistical analysis .

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