About the Role:

This role is critical in bridging business needs and technical data solutions, designing scalable systems that enable strategic decision-making. The ideal candidate is a creative problem solver with a passion for building clean, reliable, and insightful data products.

Key Responsibilities:

Client Requirements & Solutions Development:

• Assess and understand client requirements to build tailored data product services and analytical solutions.

Business Process Analysis:

• Analyze current business practices, processes, and procedures to identify opportunities for improved efficiency, accuracy, and performance. • Identify and evaluate patterns and trends that influence business outcomes.

Data Engineering & Product Development:

• Use data engineering techniques and advanced analytical methods to build the data products required by clients. • Design and build robust data pipelines, data streams, reporting tools, data generators, and a variety of analytical tools to provide actionable insights.

Data Collection & Reconciliation:

• Collect, aggregate, store, and reconcile data from multiple internal and external sources, ensuring high-quality, trustworthy datasets.

Documentation, Metrics, and Monitoring:

• Develop and maintain comprehensive documentation for all data systems, pipelines, and APIs. • Implement and manage metrics and monitoring solutions to ensure system health, data reliability, and performance.

Ad Hoc Analysis and Support:

• Provide agile support for ad hoc data design, analysis, and engineering tasks that arise outside of standard project work, ensuring that business needs are addressed effectively and efficiently.

Education and Requirements

• 3+ years of experience in a similar background role is required. • A college degree is required. The most relevant bachelor's degrees include Economics, Finance, Computer Science, Supply Chain Management, Engineering, Data Science, or related fields. • The ideal candidate thinks in terms of models and demonstrates strong analytical and problem-solving skills. • A master's degree is highly valued, but alternative qualifications such as non-traditional certifications from university MOOCs (e.g., MicroMasters) are also indicative of a suitable candidate. • Commitment to continuous learning and the ability to apply foundational knowledge in practical, business-driven contexts is essential.