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We are looking for a Data Business Analytics Consultant with strong experience in the finance domain and a mature background in pre-sales. In this role, you will participate in business pre-sales across Europe, working closely with stakeholders to shape product strategy and deliver high-value data solutions.
You will join a team of professionals driving innovation in data and analytics, leveraging your expertise to support complex consulting engagements and help clients achieve their business goals.
Responsibilities
- Collaborate with stakeholders and their teams to shape an end-to-end product strategy and determine business value
- Define and propagate the main outcomes to achieve and track progress using established success metrics
- Work closely with Solution Architects and Technical Leads to determine the right data solution to build
- Drive pre-sales activities and manage consulting engagements
- Cooperate and communicate with all relevant stakeholders to ensure understanding of product objectives, prioritization, and the roadmap
- Keep the product backlog prioritized, up to date, refined, and clear
- Understand and track customer needs in cooperation with other product teams
- Help the team stay proactive in identifying data to be captured, integrated, processed, and exposed
- Assess the availability and quality of data needed for products, drive improvement plans, and establish proper data governance processes
- Stay up to date with the data and analytics landscape and recent trends
Requirements
- Minimum of 5 years of IT experience, including strong experience in the finance domain
- At least 2 years of experience in leadership roles
- Extensive experience with pre-sales activities and consulting engagements
- Proven experience shipping digital B2B or internal products with a significant data component (data lake, data warehouse, advanced analytics solutions, business intelligence/reporting, etc.)
- Ability to assess technical and data feasibility, with a good understanding of data architecture, data elements, and data life cycle
- Analytical mindset with the ability to use metrics and data for decision-making
- Structured and organized approach to orchestrating efforts and ensuring delivery
- Strong communication skills, able to engage both business and technical audiences
- Experience with design thinking and inclusive practices from discovery to delivery
- Fluency in English (B2)
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