Data Analyst focusing on transforming data into strategic insights at V.tal. Collaborating with teams and leveraging tools like Power BI, Python, and SQL for impactful results.
About the role
- Data Analyst generating insights to inform financial and strategic decisions at Chip. Collaborating closely with key stakeholders in a fast-paced fintech environment.
Responsibilities
- Use SQL to code and query the database in order to provide inputs for key business and financial models
- Clean, validate and transform large datasets, ensuring data integrity and readiness for analysis and reporting
- Analyse large datasets to provide insights for the company and answer complex problems
- Build and maintain dashboards (using PowerBI) for management to track real-time performance, growth, unit economics, KPIs and other metrics.
- Strategic thinking using a data-led approach to recommend key business decisions.
Requirements
- A strong numerical degree (2:1 or above) in mathematics, engineering, computer science, finance or another related technical discipline or equivalent practical experience
- 1-2 years experience in a Data & Analytics role, preferably within Financial services
- Excellent Excel and SQL skills, and proficiency in Python, PowerBI and other BI tools
- Ability to manipulate large datasets, build dashboards and analyse results
- Ability to translate problems into technical requirements and implement solutions
- Ability to take ownership of projects and enjoy working in a fast moving FinTech.
Benefits
- Discretionary Performance-Related Bi-Annual Bonus of up to 10% (Cash) and 5% (Shares) based on your gross annual salary.
- Workplace pension scheme - We invest in your future with a workplace pension scheme , contributing 5% on earnings up to £45,000.
- Private medical insurance (medical history disregarded)
- Employee Assistance Programme
- Cycle to work scheme
- Season ticket loan
- Free ChipX subscription for UK-based employees
- Flexible working arrangements
- 28 days holiday plus bank holidays, plus the days between Christmas and New Year.
- Annual training budget for courses, workshops, or conferences to help you advance your career.
- £30 per month Chip Fitness Benefit to suit your Mental/Physical Wellbeing.
- Company laptop
- Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high-growth fintech startup.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Risk Data Analyst responsible for complex data reporting and analysis for Payment Services at U.S. Bank. Supporting risk programs and identifying data trends to enhance risk management processes.
Data Analyst at Capital One leveraging analytics and technical skills. Innovating data solutions and driving insights to enhance business decision - making.
Data Analyst focusing on data quality investigation and analytics at FXC Intelligence. Collaborate with Product Managers, Data Scientists, Software Developers and QA Engineers to enhance data products.
Senior Data Analyst analyzing gaming and monetization data for Playa Games. Collaborating with product managers to derive insights and recommendations for decision - making.
Data Analyst/Product Consultant supporting Army Audit Readiness objectives through financial management and technology enablement. Collaborating with cross - functional teams to enhance transparency and efficiency while managing financial dashboards.
Data Analyst responsible for turning data into insights at Anomali, focusing on AI - Powered Security Operations. Analyzing datasets and collaborating with teams to support strategic decisions.
Data Analyst supporting Finance, Strategy, and Executive teams at Age of Learning. Analyzing subscription performance and providing insights for strategic decision - making.
Finance Data Analyst managing master data across Jellyfish’s ERP systems while ensuring data quality and control. Collaborating with finance and operations for reliable financial reporting.
Data Analyst transforming complex datasets into actionable insights for patient outcomes. Collaborating with stakeholders and utilizing advanced analytics tools in a health technology environment.