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Senior Analytics Engineer
Jaja Finance. Support the design and delivery of new data models in a modern technology stack .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced SQL, data modeling, and data transformation using tools like Coalesce and DBT within a modern cloud data environment. Strong collaboration and communication skills are essential for working with cross-functional teams to deliver high-quality data solutions.
Highest-signal resume keywords
Advanced SQL KnowledgeData Transformation Tools (Coalesce, DBT)Data Modeling (Structured and Unstructured)Data Quality FrameworksCollaboration with Product and Engineering Teams
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModelingData TransformationData GovernanceData Quality StandardsPerformance OptimizationData PipelinesOrchestration ToolsVersion ControlTesting Standards
Soft Skills
Problem-SolvingAttention to DetailCommunicationStakeholder Management
Tools & Technologies
SnowflakeCoalesceDBTCloud Data Environment
Industry Keywords
FinanceCredit ReportingBusiness IntelligenceAnalytics
Tech Stack
Tools & technologiesCloudSnowflakeSQL
About the role
Key responsibilities & impact- Support the design and delivery of new data models in a modern technology stack
- Use Coalesce and/or DBT to build, maintain and optimise data transformations
- Develop and enhance structured and unstructured data models within Snowflake
- Write, optimise and maintain complex SQL queries to support data pipelines and reporting requirements
- Collaborate with stakeholders from different business areas to understand requirements and provide appropriate data solutions
- Work closely with Product and Engineering teams to develop scalable and maintainable data assets
- Uphold data governance and data quality standards
- Support BI and Analytics teams with key data sources required for their deliveries
- Contribute to data modelling best practice and continuous improvement initiatives
Requirements
What you’ll need- Advanced SQL knowledge, including CTEs and window functions, with experience writing performant queries, preferably in Snowflake
- Experience using data transformation tools such as Coalesce and/or DBT
- Experience modelling both structured and unstructured data
- Experience developing and maintaining data models within a modern data platform
- Ability to work in a fast-paced, dynamic environment, ideally within a start-up or scale-up
- Strong problem-solving skills and attention to detail
- Excellent communication and stakeholder management skills
- Experience collaborating with Product, Engineering and business teams
- Experience with data quality frameworks
- Familiarity with finance, credit and associated reporting
- Knowledge of testing standards and version control
- Experience with orchestration tools and workflows
- Experience working within a modern cloud data environment
Benefits
Comp & perks- Competitive salary
- Pension contributions, including Salary Exchange facility
- Annual bonus potential
- Private medical cover provided by Vitality (optional benefit)
- 25 days annual leave (FTE) plus UK bank holidays
- An additional day added for each full calendar year worked, up to a maximum of 30 days
- Your birthday off each year as an additional day's holiday
- 4x life insurance cover
- Access to a confidential Employee assistance programme