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Work You'll Do/Responsibilities
WPC Analytics workstream supporting a leading consumer technology company's Wallet, Payments, and Commerce organization. Responsible for product data science and analytics to generate insights, measure performance, and inform product strategy and decision-making across wallet and payments experiences.
- Perform data analysis to identify trends, anomalies, and key drivers impacting product and business performance.
- Build and maintain analytical models (e.g., forecasting, segmentation, propensity) to support decision-making.
- Develop clear, executive-ready reporting and dashboards that track KPIs and communicate insights.
- Translate stakeholder questions into structured analyses, metrics definitions, and actionable recommendations.
- Partner cross-functionally to validate data sources, improve data quality, and automate recurring reporting.
- Present findings to technical and non-technical audiences, tailoring the narrative to drive alignment and action.
- Strong business acumen and the ability to think strategically and operationally.
- Be a self-starter, driven, accountable and a high-energy team player.
- Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
- Demonstrated ability to influence without authority.
- Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Qualifications
Required
- 2+ years experience in SQL (knowledge of PySpark will be excellent) Can do basic modeling (Regression, Decision Tree, Clustering) Understands the business and is business-facing
- 2+ years of demonstrated experience in an Analytics and Strategy role
- Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
- Knowledge of and experience in leveraging Applied Statistical/ML techniques.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Analytical/ Decision Making Responsibilities
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Key Skills
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