Senior / Lead Data Analytics Manager

Open Position

Senior / Lead Data Analytics Manager

FinTech · Remote · Full-Time · Lead / Head

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About the role

We are looking for an experienced Senior / Lead Data Analytics Manager to build and lead the analytics function for our partner’s Cards & Wallets business.

This is a hands-on leadership role for someone who enjoys working with large-scale transactional data, building analytical infrastructure from scratch, and transforming complex datasets into actionable business insights.

You will work closely with Commercial, Finance, Product, and Operations teams, driving data-informed decision-making through reliable analytics, dashboards, and reporting.

Requirements

• 5+ years of experience in Data Analytics, BI, Product Analytics, or Commercial Analytics.
• Strong SQL skills, including: Window Functions, CTEs, Query optimization, Large transactional datasets.
• Experience building analytical data models and data marts from scratch.
• Experience working with Data Warehouses and/or Data Lakes.
• Hands-on experience with Tableau, Power BI, Metabase, or similar BI platforms.
• Experience designing dashboards that are actively used by business teams.
• Strong analytical thinking with the ability to identify patterns, trends, and business opportunities in large datasets.
• Experience automating reporting and improving analytical processes.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• B2+ (C1 preferred).

Nice to Have

• Experience in FinTech, Payments, Banking, Card Issuing, Acquiring, PSP, Digital Wallets, or Neobanking.
• Experience working with transaction-level data.
• Understanding of payment flows and transaction lifecycle.
• Experience with pricing analytics, unit economics, or profitability analysis.
• Experience building alerting systems and automated business monitoring.
• Previous leadership or mentoring experience.

Responsibilities

What You'll Do

Build the Analytics Foundation

• Design and build an end-to-end analytics infrastructure for the Cards & Wallets business.
• Design and maintain analytical data models, data marts, and reporting datasets.
• Build and improve the company's analytical Data Lake.
• Ensure data consistency, quality, and reliability across multiple systems.
• Create a unified customer view across different data sources.

Business & Product Analytics

• Analyze large transactional datasets to identify trends, customer behavior, and business opportunities.
• Build customer segmentation, cohort analysis, retention analysis, and LTV models.
• Analyze transaction behavior across products, BINs, merchants, geographies, and customer segments.
• Identify business patterns and proactively suggest improvements based on data.

BI & Dashboards

• Design and develop business dashboards using Tableau, Power BI, Metabase, or similar BI platforms.
• Build dashboards that become daily decision-making tools for Commercial, Finance, Product, and Operations teams.
• Automate recurring reporting and reduce manual reporting efforts.
• Ensure the accuracy and consistency of analytical reports.

Commercial Analytics

• Support pricing analysis and unit economics through data-driven insights.
• Analyze transaction profitability and business performance.
• Build analytical models to evaluate pricing changes and business scenarios.
• Help commercial teams understand customer behavior and revenue opportunities.

Executive Reporting

• Prepare analytical reports for senior management.
• Transform complex data into clear recommendations and actionable insights.
• Work closely with business stakeholders to answer analytical questions and support strategic decisions.

Build the Analytics Function

• Own the analytics function for the Cards & Wallets direction.
• Prioritize analytical requests from different business teams.
• Help define the future BI architecture and analytics processes.
• As the function grows, participate in building and mentoring the analytics team.

Job details

IndustryFinTech

LocationRemote

TypeFull-Time

LevelLead / Head

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