Lead Data reporting Analyst ( sql and data analysis, preferably in the fintech or financial services sector)

Apply by Email/Direct Application at

Lead Data Analyst

Examples of critical upcoming work:

As a data analyst you will have broad influence across our company and have a direct impact on our future trajectory!

• Product Performance Dashboard: Design and implement an interactive dashboard that tracks key performance indicators (KPIs) for our various financial products. This will involve working closely with the product team to identify relevant metrics and creating a user-friendly interface for stakeholders and partners to monitor product performance in real-time.
• Customer Segmentation Analysis: Develop a comprehensive customer segmentation model using transaction data, demographic information, and product usage patterns. This project will involve collaborating with marketing and product teams to identify key segments and create targeted strategies for each group.
• Cost of Funds Optimization: Collaborate directly with the head of finance to analyze our funding sources, capital allocation, and risk profiles. Develop a data-driven model to optimize our cost of funds, with a direct impact on our bottom line and profitability!
• Regulatory Reporting Automation: Partner with the finance and compliance teams to streamline and automate regulatory reporting processes. This project will involve optimizing data pipelines, creating automated reports, and ensuring data accuracy for compliance purposes.
• Fraud Detection System Enhancement: Work with the compliance and operations teams to improve our existing fraud detection system. Analyze historical fraud patterns, develop new features, and influence the execution to increase the accuracy of fraud prediction while minimizing false positives.

Key Responsibilities:

• Collaborate with marketing, finance, product, compliance, and operations teams to identify data needs and provide analytical support
• Design, develop, and maintain complex SQL queries and databases to extract, transform, and analyze large datasets
• Create clear, compelling data visualizations and presentations to communicate insights to both technical and non-technical stakeholders
• Identify trends, patterns, and anomalies in financial and user behavior data to inform strategic decisions
• Monitor and ensure data quality within the data warehouse, troubleshooting and resolving issues as needed.
• Create reporting dashboards and monthly financial reports using SQL and data tools such as Mode and Looker.

Requirements:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field
• 5+ years of experience in data analysis, preferably in the fintech or financial services sector
• Expert-level proficiency in SQL and data modeling
• Strong storytelling skills with the ability to translate complex data into actionable insights
• Proficiency in data visualization tools (e.g., Tableau, Power BI)
• Experience with statistical analysis and programming languages such as Python or R
• Excellent communication and interpersonal skills, with the ability to work effectively across teams
• Strong problem-solving skills and attention to detail

Nice to have:

• Master s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
• Experience with data engineering concepts and tools (e.g., ETL processes, data warehousing)
• Familiarity with cloud platforms like AWS or Google Cloud
• Knowledge of machine learning techniques and their applications in fintech

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Apply by Email/Direct Application at

Lead Data Analyst

Examples of critical upcoming work:

As a data analyst you will have broad influence across our company and have a direct impact on our future trajectory!

• Product Performance Dashboard: Design and implement an interactive dashboard that tracks key performance indicators (KPIs) for our various financial products. This will involve working closely with the product team to identify relevant metrics and creating a user-friendly interface for stakeholders and partners to monitor product performance in real-time.
• Customer Segmentation Analysis: Develop a comprehensive customer segmentation model using transaction data, demographic information, and product usage patterns. This project will involve collaborating with marketing and product teams to identify key segments and create targeted strategies for each group.
• Cost of Funds Optimization: Collaborate directly with the head of finance to analyze our funding sources, capital allocation, and risk profiles. Develop a data-driven model to optimize our cost of funds, with a direct impact on our bottom line and profitability!
• Regulatory Reporting Automation: Partner with the finance and compliance teams to streamline and automate regulatory reporting processes. This project will involve optimizing data pipelines, creating automated reports, and ensuring data accuracy for compliance purposes.
• Fraud Detection System Enhancement: Work with the compliance and operations teams to improve our existing fraud detection system. Analyze historical fraud patterns, develop new features, and influence the execution to increase the accuracy of fraud prediction while minimizing false positives.

Key Responsibilities:

• Collaborate with marketing, finance, product, compliance, and operations teams to identify data needs and provide analytical support
• Design, develop, and maintain complex SQL queries and databases to extract, transform, and analyze large datasets
• Create clear, compelling data visualizations and presentations to communicate insights to both technical and non-technical stakeholders
• Identify trends, patterns, and anomalies in financial and user behavior data to inform strategic decisions
• Monitor and ensure data quality within the data warehouse, troubleshooting and resolving issues as needed.
• Create reporting dashboards and monthly financial reports using SQL and data tools such as Mode and Looker.

Requirements:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field
• 5+ years of experience in data analysis, preferably in the fintech or financial services sector
• Expert-level proficiency in SQL and data modeling
• Strong storytelling skills with the ability to translate complex data into actionable insights
• Proficiency in data visualization tools (e.g., Tableau, Power BI)
• Experience with statistical analysis and programming languages such as Python or R
• Excellent communication and interpersonal skills, with the ability to work effectively across teams
• Strong problem-solving skills and attention to detail

Nice to have:

• Master s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
• Experience with data engineering concepts and tools (e.g., ETL processes, data warehousing)
• Familiarity with cloud platforms like AWS or Google Cloud
• Knowledge of machine learning techniques and their applications in fintech

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.