Strategy and Central Analytics Lead

About Aspora

People on the move deserve a bank that moves with them. Since 2022, Aspora has been building a borderless financial operating system that makes money as mobile and transparent as its users.

Backed by influential venture capitalists like Sequoia Capital, Greylock Partners, Hummingbird Ventures, Y Combinator & Global Founders Capital. We're a team of 75+ across India, the UK, the UAE, EU and the US, working with extreme ownership, radical candour, and an obsession with customer impact.

We celebrate builders who question assumptions, ship fast, and turn regulatory complexity into elegant solutions. If you’re driven to redefine what global banking can be, we’d love to build the future with you.

Strategy & Central Analytics Lead

Team: Analytics (Central) |

Location: Bengaluru, India

The Role

This is the Head of Analytics’ right hand and Aspora’s analytics Swiss Army knife. You work on the highest-priority, cross-cutting initiatives that don’t belong to any single product team — executive reporting, board decks, strategic deep-dives, and org-wide analytics capability building. On any given week, you might be building a board-ready metrics presentation for Sequoia, running a market sizing analysis for a new geography, designing the user segmentation model the entire company will adopt, or measuring the ROI of a growth experiment that the Growth Analytics Manager designed.

This role requires someone who can operate at the intersection of strategy, analytics, and growth — someone who’s as comfortable building a financial model as they are constructing a retention curve, and who can present either to a boardroom or a product standup with equal confidence. We’re looking for someone who thinks in frameworks, communicates in narratives, and operates in SQL.

What You Will Do

Own executive and board reporting. You will build and deliver the monthly analytics-driven business review for the leadership team. You will create board-ready reporting templates with investor-grade metrics that meet the standards of a Sequoia/Greylock-backed company. You will be the person who turns raw data into the narratives that shape how leadership and investors understand Aspora’s trajectory.

Lead strategic analytics initiatives. You will run the analyses that don’t fit neatly into a product team’s domain: market sizing for new geographies (Canada, Australia, Singapore), competitive landscape analysis, pricing strategy modeling across corridors, new product opportunity quantification, and strategic scenario planning.

Build the user segmentation model. You will own the foundational segmentation that the entire organization uses to talk about users. This goes beyond “active” and “inactive” — you’ll build segments that reflect real behavioral differences and can be acted on: high-value multi-product users, single-corridor loyalists, price-sensitive switchers, dormant re-activation targets, and more.

Champion the experimentation culture. You will own the experimentation platform’s analytics layer, ensuring experiments across all teams are designed with statistical rigor. You will coach analysts on best practices, review experiment designs, and build the org’s experimentation muscle.

Support growth strategy with data. You will partner with the Growth Analytics Manager on high-stakes strategic questions: where should the next $1M in growth budget go? Which corridor should we prioritize for expansion? What’s the LTV-to-CAC ratio by geography and what does it imply for growth strategy?

Drive the Analytics Academy. You will build and run the training program that teaches the broader organization to use self-serve analytics tools and think with data. You will champion data literacy across Aspora and measure adoption.

Handle the CEO’s hardest data questions. When the CEO asks “what would happen if we cut prices by 5 bps in the UAE-India corridor?” or “should we enter the Philippines market?” — you’re the person who builds the model and presents the answer.

Must Have

SQL — Advanced, multi-domain fluency. You’re equally comfortable querying transaction data, user behavioral data, marketing data, and financial data. You can build complex analytical queries across any domain.

Executive-grade data storytelling. This is the single most important skill for this role. You can take messy data and build a board-ready presentation that tells a clear, compelling story. You write precisely, present with confidence, and know how to structure a narrative that drives decisions. You understand what investor-grade metrics look like and how to present them.

Broad analytical versatility. You are not a specialist in one domain. You can do funnel analysis, cohort analysis, financial modeling, market sizing, competitive analysis, pricing strategy, and strategic frameworks — all at a high level. You switch contexts daily and maintain quality.

Strategic thinking and business acumen. You think in frameworks (TAM/SAM/SOM, Porter’s Five Forces, unit economics, growth accounting) and can connect data findings to strategic implications. You understand how a $6B remittance platform makes money and where the biggest levers are.

Experimentation design and coaching. You can design experiments with statistical rigor and teach others to do the same. You’ve built experimentation processes at an organizational level, not just run individual tests.

Segmentation and behavioral analytics. You’ve built user segmentation models — behavioral clustering, value-based segmentation, lifecycle stages. You understand how segmentation drives strategy.

Stakeholder management at the executive level. You are comfortable presenting to C-suite and board members. You can handle tough questions, admit uncertainty with confidence, and push back constructively when the data doesn’t support a preferred narrative.

BI tool expertise. Expert in at least one major BI tool. You build the dashboards that leadership opens every morning.

AI fluency. You use AI tools to accelerate every aspect of your work — writing analyses faster, generating presentation drafts, summarizing research, and automating repetitive tasks. You can champion AI adoption across the org.

5–8 years of experience in analytics, strategy, or a combination of both. Strong preference for candidates with product analytics at a high-growth tech/fintech company

Good to Have

Management consulting background. You think in MECE structures, build issue trees, and know how to crack ambiguous problems with limited data.

Python for ad-hoc analysis. Quick scripting, statistical modeling, data visualization with matplotlib/seaborn/plotly, or financial modeling.

Experience building analytics functions from scratch. You’ve been part of a team that built analytics capability at a company that didn’t have one.

Training and enablement experience. You’ve run data literacy programs, analytics bootcamps, or organizational capability-building initiatives.

Cross-border fintech knowledge. Understanding of remittance economics, FX dynamics, corridor-level P&L, and the Indian diaspora market.

Board and investor reporting experience. You’ve built decks and metrics packages for VC or PE-backed boards.