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Data Product Analyst

datashiftMechelen/Leuven/Gent, Vlaams Gewest, Belgium
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Skills & QualificationsMinimum of 4 years experience in a related role (e.g., data analyst, business analyst, functional analyst, data product owner). Proficient in data analysis & interpretation (e.g., SQL/Python, familiar with BI tools). Strong communication skills with the ability to collaborate across various teams and stakeholders. Passion for data-driven decision making and continuous improvement. Ability to manage multiple priorities in a fast-paced, dynamic environment.

About the job

Are you driven by the potential of data to create meaningful insights? Join our innovative data consulting team as a Data Product Analyst. In this pivotal role, you will oversee data as a product for our diverse clientele across multiple industries. Acting as a bridge between business stakeholders and technical teams, you will facilitate a shared understanding to ensure that our data products are dependable, easily discoverable, and aligned with business objectives.

The ideal candidate is focused on delivering value, possesses strong analytical skills, and excels in collaborative, cross-functional settings. As you progress in this position, you'll have the chance to transition into a Data Product Owner, where you'll shape the data product vision, strategy, and stakeholder engagement.

Key Responsibilities

  • Identify business needs and challenges, leveraging data to develop impactful solutions. Translate business issues into data-driven queries to gather and analyze product requirements.

  • Determine the most effective data product solutions that balance benefits and costs, ensuring alignment with business needs.

  • Work closely with data professionals (engineers, scientists, and analysts) to ensure data products are implemented correctly, meet usability and scalability standards, and provide real business value.

  • Ensure that the required source data is accurately captured and adheres to quality standards by managing data contracts with application owners and process experts.

  • Oversee the data product backlog for a specific domain, prioritizing tasks based on business value and alignment with goals.

  • Foster data democratization by improving data accessibility and usability through thorough documentation, internal marketing, and training initiatives for the data product catalog.

  • Manage the lifecycle and lineage of data products, ensuring they remain accurate, relevant, and aligned with business objectives.

About datashift

At datashift, we are committed to harnessing the power of data to drive transformative insights and solutions for our clients. Our team is passionate about pushing boundaries and delivering exceptional data consulting services across various industries.

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