4 of 4 Contract Data Analysis Jobs in Cheshire

OEM. Experienced in Connected Car/Telematics/Infotainment or Automotive Electrical Engineering is essential. Outside IR35 Hybrid working Key Responsibilities: Own and maintain Connected Car Portfolio roadmap master data (CC portfolio tracker) including portfolio decision track and new initiatives Facilitate cross-functional alignments with pre-framing analysis on technical and market data Manage connected car requirements … pipeline (on-board & off-board), triaging & prioritising for portfolio build Coordinate with functional & business owners to support MY29-30 portfolio gap identification, product-market fit analysis, and EPIC backlog (bi-weekly) Conduct competitor benchmarking and feature analysis, including regional insights (e.g China) Lead Connected Car Innovation Hub, facilitating inputs gathering, documentation, and prioritisation Support Bi-weekly Lean Portfolio … R&D innovation (including external partners such as Plug & Play) Competitor benchmark community including group (e.g VIDA) Product Marketing in S&M department Skills & Experiences: Strong experience in customer data analysis, process design, and requirements management Effective communication and documentation skills Proactive and collaborative mindset with attention to detail Experience in working in cross-functional team structures on More ❯

the technology strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on building the overall architecture for the lending process, combining data, advanced analytics, and regulatory knowledge to create automated, efficient, and compliant decision-making platforms. Responsibilities Architecting decision platforms: Design, build, and implement the technical architecture for end-to-end … credit risk decisioning and affordability solutions. This includes integrating various data sources (internal and external), analytical models, and rule-based engines. Developing credit strategy: Translate business objectives and credit policy into technical requirements and system rules. This includes defining risk appetite, decision flows, and the criteria for approving, denying, or referring credit applications. Overseeing model development: Work closely with … data scientists and credit risk model developers to integrate statistical and machine learning models into the decisioning architecture. This includes models for credit scoring, loss forecasting, and affordability assessments. Ensuring regulatory compliance: Incorporate all relevant regulatory requirements (eg, responsible lending obligations) into the decisioning framework. The architect must ensure the system provides a robust audit trail for all lending More ❯

their team on a long term rolling contract basis. Job Description As a Connected Car Business Analyst your main responsibilities are: Own and maintain Connected Car Portfolio roadmap master data (CC portfolio tracker) incl. portfolio decision track and new initiatives Facilitate cross-functional alignments with pre-framing analysis on technical and market data Play a single focal … car requirements pipeline (on-board & off-board), triaging & prioritizing for portfolio build Coordinate with functional & business owners to support i) MY29-30 portfolio gap identification ii) product-market fit analysis iii) EPIC backlog (bi-weekly) Conduct competitor benchmarking and feature analysis, including regional insights (e.g. China) Lead Connected Car Innovation Hub, facilitating inputs gathering, documentation & prioritization Support Bi … weekly Lean Portfolio Management forum - agenda set, meeting org and actions log update Qualifications/Skills needed Strong experience in customer data analysis, process design and requirements management Experience in digital innovation frameworks or product discovery method Familiarity with Agile methodologies and tools (e.g. JIRA, Confluence) in fast-faced environment Experience in product planning & program management in automotive More ❯

the technology strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on shaping the overall architecture for the lending process-combining data, advanced analytics, and regulatory knowledge to deliver automated, efficient, and compliant decision-making platforms. Key Responsibilities Architect decision platforms : Design, build, and implement technical architecture for end-to-end … credit risk decisioning and affordability solutions. This includes integrating internal and external data sources, analytical models, and rule-based engines. Develop credit strategy : Translate business objectives and credit policy into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and … technical audiences. Required Skills & Qualifications Technical Skills Extensive experience with decision engine platforms (eg, FICO Blaze Advisor, Pega, or other predictive/rule-based tools). Expert knowledge of data analysis tools and programming languages (Python, R, SAS), plus proficiency with databases and data warehousing. Strong background in enterprise-level system architecture, including integration of decisioning engines More ❯