Vacancy expired!
This is 6 months contract with long term extension
Responsibilities- Lead elicitation sessions to gather and analyse Business requirements with product owners and other business stakeholders.
- Work with business and technical stakeholders to come up with solutions for those requirements.
- Deliver Descriptive summaries, Reports, Insights, Predictive and Classification models as required.
- Create and document functional requirements including process flows, data movement from source to target destinations, and related table/data definitions and transformations, including addressing data governance standards.
- Develop familiarity with data in order to review and edit reports and dashboards.
- Design and document end-to-end solutions, translating and allocating all functional requirements into an appropriate design for data integration working with the Data Architects, Developers, and QA and Ops teams.
- Design dashboard mock-ups, develop SQL logic and guide engineering teams through the development of high-quality analytics dashboards.
- Set up and facilitate cross-functional requirements and design sessions.
- Track and drive approval of requirements and solution design documents.
- Collaborate with cross-functional teams through agile development, providing insight into the functional requirements and solution design.
- Performs other duties as assigned.
- BS or BA degree in computer science, math or related field or equivalent experience.
- 5+ years of experience analyzing data using SQL, Redshift, Teradata, Erwin.
- Previous experience data analytics reporting using tools like Tableau, Qlik or similar reporting tools.
- Solid experience with writing functional and technical requirements
- Strong capabilities understanding data models and rules as related to supporting business and functional requirements
- Fluency in MS Excel, Word, Visio and Power Point.
- 2 or more years defining requirements for data being collected from connected vehicles.
- Must have experience with Jira and Confluence.
- Experience analyzing/reporting on in-vehicle event data a plus.
- Exceptional communication, documentation and presentation skills
- Speed, focus and due diligence as priorities with attention to detail
- Understanding of software development life cycles
- High comfort level with various database systems and analytical tools
- Knowledge of Scrum and Kanban methodologies and agile frameworks
- Jira and/or equivalent agile management tools
- Knowledge of machine learning and model deployment in a production environment a plus
- Strong business analytical skills; ability to apply logic to design and implement data mining techniques on large data sets.