Lead Data Analyst

Role Overview

We are looking for an analytical leader who can own FREED’s data function end-to-end. The ideal candidate is not only exceptional at building dashboards and data models, but also has the ability to navigate large, complex datasets, derive

sharp business insights, and influence decision-making across product, operations, credit, and strategy teams.

This role requires strong hands-on expertise in

Power BI, SQL, and Excel , along with the ability to work with data coming from multiple systems (AWS, Metabase, FREED App, CRM, internal tools). FinTech exposure is preferred but not mandatory.

Key Responsibilities

Own and lead the data analytics charter, ensuring accuracy, accessibility, and usability of all business-critical data.

Develop

scalable dashboards and analytical frameworks

in Power BI for leadership, product, and operations teams.

Collate, clean, and unify large datasets from

AWS (Redshift / S3), Metabase, App analytics, and internal tools .

Partner with business teams to translate high-level questions into clear analytical workflows and insight-driven outputs.

Build advanced Excel models, Power BI data models, and automated reporting pipelines.

Identify trends, diagnose problem areas, and deliver

actionable insights

to improve funnel performance, product adoption, user behavior, credit outcomes, and operational efficiency.

Establish strong data governance practices, ensure data quality, and improve data lineage across systems.

Work closely with engineering and product teams to support event tracking, instrumentation, and data availability.

Evaluate analytical tools and recommend improvements in data stack and visualization framework.

Present insights and recommendations to leadership in a clear, structured, and business-focused manner.

Required Skills & Competencies

Advanced proficiency in Power BI

(data modelling, DAX, performance optimisation, large dataset handling).

Strong command of

SQL

(joins, window functions, optimisation, handling large tables).

High proficiency in

Excel

(complex formulas, pivot modelling, automation).

Experience working with data stored across

AWS (Redshift, S3), Metabase, app analytics tools , or similar multi-source environments.

Strong business acumen with the ability to convert data into actionable insights and strategic recommendations.

Experience managing and leading analytical projects end-to-end; ability to work independently with minimal guidance.

Understanding of ETL processes, data warehousing concepts, and BI best practices.

Strong problem-solving, communication, and stakeholder management skills.

Good to Have

Experience in

FinTech, Credit, Collections, Lending, or BFSI analytics .

Exposure to predictive modelling, customer segmentation, or churn / propensity models (Python / R optional but beneficial).

Understanding of product analytics and event-based tracking frameworks (Mixpanel, Amplitude, GA4, etc.).

Ability to mentor junior analysts and establish analytics processes.

Qualification

Bachelor’s / Master’s in Data Science, Statistics, Computer Science, Engineering, Finance, or Mathematics.