Business Intelligence and Analytics Specialist (Fintech)

Client of 6 Pence

One of our reputed Clients committed to being the leading regional operator in the world of Fin-tech providing innovative solutions and advanced payments looking for a Talented & Experienced Business Intelligence and Analytics Specialist (Fintech)

Our Client:

• A mobile wallet company transforming how people manage their finances through innovative digital payment solutions.
• They are looking for a Business Intelligence & Analytics Lead who can turn data into actionable insights that support business growth and efficiency.
• The role focuses on analyzing customer and transaction data to identify opportunities to increase service usage, grow revenue, reduce costs, and support marketing and product decisions.

Role Overview:

• As a Business Intelligence & Analytics Lead, you'll be at the center of our data-driven decision making.
• You'll analyze customer behavior, transaction patterns, and product performance to uncover opportunities and solve business challenges.
• This role requires someone who can blend technical analytics skills with business acumen and leverage AI tools to work smarter and faster.
• The ideal candidate will build dashboards and reports to monitor products, services, and company KPIs, while leveraging SQL, BI tools, and modern AI analytics tools to support data-driven decision-making across the business.

Duties & Responsibilities:

Data Analysis & Insights:

• Analyze customer data and transaction patterns to identify trends, anomalies, and opportunities for growth, revenue optimization, and cost reduction.
• Support business teams (Product, Marketing, Operations, Finance) with data-driven insights and recommendations.
• Conduct cohort analysis, user segmentation, and churn analysis to understand customer lifecycle and behavior.
• Track performance trends, customer usage patterns, and campaign effectiveness.
• Perform deep-dive analyses on payment flows, transaction success rates, and revenue drivers.
• Translate complex data findings into clear, actionable recommendations for product, marketing, and business teams.
• Continuously improve analytics frameworks, reporting processes, and measurement methodologies.

Visualization & Reporting:

• Design and build interactive dashboards and visualizations using tools like Tableau, Power BI, or similar platforms.
• Create funnel analyses to track user journeys from acquisition through activation, engagement, and retention.
• Develop automated and scalable reporting systems to monitor key performance indicators (KPIs) and business metrics.
• Present insights to stakeholders through clear data storytelling and executive-ready presentations.

AI-Powered Analytics:

• Leverage AI tools (ChatGPT, Claude, GitHub Copilot, etc.) to accelerate SQL query writing, code generation, and analysis workflows.
• Utilize AI for exploratory data analysis, pattern recognition, and hypothesis generation.
• Implement AI-assisted data cleaning, transformation, and quality checks.
• Stay current with emerging AI analytics tools and proactively integrate them into daily workflows where relevant.

Data Architecture & Infrastructure:

• Design and implement scalable, sustainable data architecture and data lakes that supports current and future analytics needs
• Establish data pipelines and ETL processes to ensure clean, reliable data flow.
• Define and maintain data models, schemas, and documentation.
• Implement data governance practices including data quality monitoring and validation.
• Collaborate with engineering teams to optimize data collection and storage strategies.

Qualification, Experience & Other Requirements:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related fields
• 2-4 (Lead experience 3-6) years of experience in data analysis role
• Experience with data transformation and orchestration tools
• Knowledge of machine learning concepts and predictive modeling
• Previous experience setting up analytics infrastructure from ground up

Technical Skills:

• Strong proficiency in SQL for complex queries and data manipulation.
• Experience with Python or R for statistical analysis and data processing.
• Hands-on experience with data visualization tools (Tableau, Power BI, Looker, or similar).
• Understanding of data warehousing concepts and modern data stack technologies.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their analytics services.

Analytical Capabilities:

• Proven ability to work with large datasets and extract meaningful insights
• Strong statistical knowledge and understanding of A/B testing methodologies
• Experience building funnels, cohort analyses, and customer segmentation models
• Demonstrated problem-solving skills with attention to detail

AI & Modern Tools:

• Proficient in using AI assistants to enhance productivity and analysis quality
• Quick learner who stays updated with the latest analytics and AI tools
• Ability to critically evaluate AI-generated outputs and validate results

Domain Knowledge:

• Experience in fintech, payments, or mobile applications is highly preferred
• Understanding of key metrics for digital products (DAU/MAU, retention, LTV, etc.)
• Knowledge of customer journey mapping and conversion optimization