Data Business Systems Analyst

Aquent is partnering with a leading enterprise that is revolutionizing how data drives customer engagement and marketing experiences. This innovative organization is at the forefront of transforming complex data landscapes into agile, cloud-native solutions, empowering richer, more personalized interactions for millions of customers. Join a team dedicated to excellence, innovation, and making a tangible impact on the future of data-driven marketing.

Are you ready to step into a pivotal role, serving as the crucial link between strategic vision and technical execution? This exciting opportunity invites a highly skilled and dynamic individual to play an instrumental part in shaping the future of data capabilities, directly impacting how modern, addressable messaging and audience activation are delivered. You will lead the charge in transforming legacy data exchanges into high-performing, cloud-based, and API-driven workflows, ensuring unparalleled data quality, clear lineage, and scalable schema alignment across diverse cloud environments and cutting-edge marketing platforms. Your contributions will directly enhance the availability, quality, and usability of data, driving significant improvements in customer experiences and business outcomes.

Key Responsibilities

• Collaborate closely with business stakeholders, architects, development teams, and external vendors to define and refine data requirements for cloud-based data storage and related initiatives.
• Document and meticulously manage end-to-end data flows, including source-to-target mappings, dependencies, and critical business rules.
• Coordinate delivery activities across technical and business teams, ensuring seamless project execution and timely milestone completion.
• Provide comprehensive support for testing efforts, encompassing test planning, test case validation, defect triage, and effective issue resolution.
• Assist with go-live readiness, deployment coordination, and crucial post-launch support activities.
• Partner with stakeholders to modernize data processes by enabling cloud-based segmentation and advanced data activation capabilities, reducing reliance on outdated file-based methods.
• Champion data accuracy, accessibility, and usability to support compelling downstream experiences and essential business needs.
• Analyze complex data issues, identify root causes, and collaborate proactively with teams to drive swift resolution and continuous improvement in data quality.
• Maintain clear, concise documentation of requirements, process flows, data definitions, and operational support procedures.
• Act as a vital conduit between technical and non-technical partners, ensuring consistent alignment and understanding throughout the entire project lifecycle.

Required Skills and Experience

• 5+ years of experience as a Business Systems Analyst, Data Analyst, or a similar role focused on data-driven initiatives.
• Hands-on experience with SQL, Pyspark, and Snowflake in a data delivery or analytics environment.
• 5+ years of experience working with a diverse range of data storage and processing environments, including cloud data warehouses (Snowflake/Redshift), Lakehouse platforms (Databricks), distributed storage (Hive), and traditional RDBMS (Oracle).
• 4+ years of experience operating in Agile environments, utilizing Jira for project tracking and Confluence for documentation.
• Strong analytical skills with a proven ability to interpret complex business needs, data structures, and technical requirements.
• Demonstrated experience supporting cross-functional delivery efforts, including requirements gathering, testing, and implementation support.
• Proven ability to work effectively with external vendors, architects, developers, and business stakeholders.
• Exceptional written and verbal communication skills, with the ability to clearly document complex data processes.
• Ability to manage multiple priorities effectively and support deadline-driven initiatives.

Preferred Skills and Experience

• Experience supporting Snowflake Share or similar data sharing solutions.
• Exposure to Data Infrastructure for email platforms (Zeta Marketing Platform preferred), customer data platforms, or segmentation workflows.
• Experience facilitating the transition from file-based data processes to cloud-based or API-driven workflows.
• Familiarity with data quality practices, data lineage, and operational support for production data environments.
• Experience supporting marketing, activation, or customer experience data use cases.