Assistant Vice President of Analytics

Role: AVP - Analytics (Fintech)

Location

Key Responsibilities:

• Work directly with senior stakeholders at US banks, card issuers, fintechs, and lenders.
• Understand product and portfolio economics (acquisition, usage, risk, collections, CLTV) and shape an analytics roadmap aligned to business priorities.

Problem to Solution:

• Translate business questions (e.g., acquisition, activation, cross-sell, risk, churn, collections) into analytical approaches and data workflows.
• Build decision-ready outputs that clearly communicate

  business and P&L impact

  , not just metrics.

• Own end-to-end delivery of analytics and data engineering projects (marketing, risk, portfolio, product), ensuring quality and timeliness.
• Guide ETL/ELT design, data modeling, and query optimization in a financial-services context.

Process & Stakeholder Management:

• Put in place delivery processes to drive consistency, reuse, and offshore effectiveness.
• Manage expectations, flag risks early, and maintain strong, trust-based client relationships.

Required Skills & Experience

• 8+ years in analytics

  , with 3+ years leading teams.
• Masters degree and/or MBA preferred
• Strong experience in

  US banking, financial services, or fintech

• Strong skills in

  SQL (Advanced), Tableau, and Excel

• Applied statistics and decision science (hypothesis testing, attribution, MMM, predictive models) with clear

  business application

  (targeting, segmentation, credit/risk, lifecycle, marketing effectiveness).
• Excellent communication, consulting, and stakeholder management skills.
• High integrity, ownership, and ability to operate independently with senior US stakeholders.

Nice to Haves

• Experience working in a small company, startup, or fast-paced environment, where adaptability and agility are essential.

About Analyttica

https://analyttica.com/

Analyttica partners with enterprises on complex digital and data transformation journeys. We start with business context - industry, products, processes, and people - and then shape the right mix of functional consulting, data & AI solutions, and our flagship product - LEAPS. Our work spans modernizing data foundations, decision-ready analytics, and scaled data literacy so that teams can actually use data in their day-to-day decisions.

Culture & Values

We're a lean, fast-paced, and collaborative team driven by our common goal of pushing the boundaries of what's possible with data and AI. Curiosity, honesty, and ownership sit at the core of how we work. We give people the space and freedom to design, build, and refine solutions end-to-end - and to grow as they do it.