Senior Data Systems Analyst

About the client:
Our client is the leading Autonomous Decision Science™ company providing data-enabled prescriptive and anticipatory analytics and insights for companies across a broad range of industries. Enterra automates a new way of problem-solving and decision-making, going beyond advanced analytics to understand data, perform analytics, generate insights, answer queries, and make decisions at the speed of the market. This powerful capability uniquely enables “End-to-End Value Chain Optimization and Decision-Making” at scale and allows clients to uncover and understand the inter-relationships that lead to innovative new product development and innovation, heightened consumer understanding and targeted marketing, revenue growth tactics, and intelligent demand and supply-chain planning. We help transform market-leading companies into true data-driven digital enterprises.

Timezone requirements: European working hours are okay; the client is in EST, and our team is in Europe.

English: Advanced level.

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a similar field.
• A minimum of 5 years of current, hands-on experience in a senior analytical role, demonstrating a strong dual background in both data analysis and business/systems analysis.
• Solid proficiency in SQL and various database tools to review, test, and manage large-scale datasets and relational models.
• Demonstrated ability to understand nuanced business requirements and translate them into actionable data mappings and technical specifications for engineering teams.
• Proven ability to operate in a senior capacity, driving structure and taking a proactive approach to achieve results in a fast-paced, remote environment.
• Proficient understanding of code versioning tools and CI/CD pipeline tools (e.g., Jira, BitBucket).
• Knowledge of cloud environments (e.g., AWS, Azure).
• Strong verbal and written communication skills, with an ability to clearly communicate with and liaise between business and technical personnel.
• High attention to detail, ensuring quality and accuracy in all data mapping and documentation.

What you will do:
The successful candidate will join a diverse team to:

• Analyze data from various sources and work directly with databases to fully understand structural relationships and how information integrates across the platform.
• Interface with product owners to deconstruct business asks, document functional requirements, and map out scalable data solutions.
• Bridge the gap between business requirements and technical execution by identifying data design issues and feeding precise requirements and mappings directly to data engineers.
• Focus deeply on core data logic and system-level relationships, explicitly excluding transactional data management, UX perspectives, or Power BI reporting.
• Develop the functional and technical specifications required to enhance existing solutions, ensuring that documentation standards are rigorously maintained.
• Collaborate across product management, client services, and engineering teams to ensure intended data outcomes and business objectives are met.
• Manage timely delivery of data-related tasks and participate in regular SDLC activities, including estimation, status reporting, SCRUM sessions, and design meetings.

• Team & Culture: Team events, offsites, and a culture that keeps people connected.
• Learning & Development: Budget for courses, certifications, and conferences.
• Wellbeing: Flexible support in line with company policy, with options to support your physical and mental wellbeing (sport, mental health, or medical insurance).
• Rest & Recovery: Paid vacation and sick leave.