The Data Business Analyst acts as the key liaison between client stakeholders and delivery teams on data programmes/projects, ensuring that business requirements are clearly defined, prioritised, and delivered in alignment with Agile delivery principles. This role blends analytical thinking, stakeholder engagement, and hands-on collaboration within a data and analytics-focused development team and client.
Anticipated start date: ASAP
Location: South America
Contract duration: 4 months
Daily Requirement: 8 hours per day, Monday to Friday
Write detailed user stories and acceptance criteria by breaking down Epics for integration and reporting use cases.
Lead feature / data product kickoffs to ensure business context and delivery alignment.
Facilitate estimation sessions and story readiness to support sprint planning.
Collaborate closely with developers and testers to validate “done” stories and ensure Client sign-off.
Partner with technical leads, client SMEs to ensure requirements are accurate, complete, and technically feasible.
Support the Client in managing and prioritizing the product backlog to ensure alignment with business goals.
Conduct backlog refinement sessions with the team to clarify requirements, dependencies, and priorities.
Ensure stories meet the teamʼs definition of ready before sprint planning.
Track and communicate backlog health and sprint progress through Agile tools (e.g., Jira).
Identify and escalate risks or blockers impacting backlog items or delivery flow.
Maintain visibility of dependencies and ensure alignment between epics, features, and
stories.
Act as the liaison between client stakeholders and delivery teams, ensuring clear communication of needs and priorities.
Support stakeholder alignment and facilitate sign-offs at key delivery stages.
Work collaboratively with Account Managers, Program and Project Managers, Tech Leads, Developers and Testers to address client pain points and deliver outcomes.
Support data product to data source mapping activities and maintain alignment with the data catalogue.
Create and review target-to-source field mappings for individual data products.
Understand and articulate data reconciliation, data quality (DQ), and transformation rules within the medallion architecture for individual data products.
Facilitate Agile ceremonies, including daily stand-ups, backlog refinement, sprint planning, retrospectives, and show & tell sessions.
Support story validation and sign-off activities during sprints.
Maintain and communicate delivery roadmaps on Jira or similar tools.
Contribute to continuous improvement discussions and team retrospectives to enhance delivery health.
Track and report team health metrics through retrospectives and delivery KPIs.
Produce end-of-sprint reports summarizing story progress, carried-over items, and upcoming priorities.
Support automated reporting and ensure client transparency on progress and blockers.
Collaborate with account and delivery leadership (PO, Program/Project Manager, Account Manager, Tech Lead) as part of the Account Leadership Team (CAT).
Provide analytical insights into client pain points and support identification of improvement or growth opportunities.
Proven experience as a Data Business Analyst in Agile delivery environments (Scrum or Kanban) for 10+ years
Skilled in user story writing, backlog management, and stakeholder facilitation.
Strong problem-solving and analytical skills with the ability to connect business and technical contexts.
Proficiency with Jira, Confluence, and Agile reporting tools.
Excellent communication, influencing, and presentation skills.
Strong experience in data and analytics projects, including data lineage, transformation, and quality.
Travel requirements for this role are mandated by the need of the client and depending on the client some travel is required.
Excellent knowledge of SQL
Exposure to BI/reporting and DWH integration use cases
Understanding of the medallion data architecture and / or modern data platforms (e.g., Databricks, Snowflake).
Experience working in technology consultancy or data transformation programs.
Introductory call with TABP: 45 minutes
Technical interview with Head of Data Products: 75 minutes
Cultural chat with CSO and General Manager: 45 minutes
▶ ▶ Submit your CV in English in PDF.
▶ ▶ Mind that as we are an international team, internal communication is in English.
▶ ▶ In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.
We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.
Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.
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