LATAM Contractor – Agile Data Business Analyst

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Infinite Lambda

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔌 API

💳 Fintech

API • Data & Analytics • Fintech

Infinite Lambda is a tech consultancy that specializes in modern data platforms, cloud transformation, and data analytics. They provide solutions that enable businesses to achieve technological independence by migrating from traditional data warehouses to advanced, AI-enabled data platforms. With expertise in various industries, including banking, life sciences, and retail, Infinite Lambda guides organizations through digital transformation, offering training and in-housing support to ensure sustainable tech practices.

📋 Description

• 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. • 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.

🎯 Requirements

• 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.