Technical Business Analyst
AgileEngine • Downey, CA8d • Hybrid
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Technical Business Analyst ID52085
AgileEngine•Downey, CA
•Hybrid
About The Position
As a Business Analyst in data and digital transformation, you will play a pivotal role in connecting business goals with technical solutions, shaping how teams leverage data and integrations across the organization. You’ll influence the design of processes, pipelines, and analytics, driving efficiency and insight while collaborating with cross-functional teams in an Agile environment. This is a unique opportunity to work at the intersection of business strategy and technology, contributing directly to measurable impact and professional growth in a dynamic, collaborative culture.
Requirements
- 5+ years of experience as a Business Analyst, Technical Analyst, or Product Owner in data, IT, or digital transformation contexts
- Strong ability to bridge business language and technical concepts
- Knowledge of data systems, cloud services (AWS preferred), and integration frameworks such as APIs
- Experience writing detailed functional specifications, user stories, process diagrams, and acceptance criteria
- Understanding of data modeling concepts, ETL pipelines, and BI/reporting workflows
- Exceptional analytical, problem-solving, and communication skills
- Collaborative approach in team settings spanning technical and business disciplines
- Upper-intermediate English level
Nice To Haves
- Experience in hospitality, travel, or luxury retail industries
- Familiarity with Scrum/Agile practices, Jira, Confluence, and data catalog systems
Responsibilities
- Partner with stakeholders across departments to capture and validate business needs
- Translate business concepts into structured technical requirements, use cases, and user stories
- Define data and integration requirements in collaboration with architects
- Map current- and future-state processes, identifying opportunities for automation and efficiency
- Maintain a clear traceability matrix linking business requests to delivered functionality
- Work with Data Engineering and Analytics teams to clarify metric definitions, data transformations, and aggregation rules
- Support efforts to standardize KPIs and enable self-service analytics using BI tools
- Validate data outputs and ensure alignment with business definitions and governance standards
- Collaborate with data governance leadership to ensure quality, compliance, and consistent usage of data assets
- Assist in the design and implementation of new data pipelines, APIs, and system integrations across cloud environments
- Partner with architects to document data lineage, source-to-target mappings, and system dependencies
- Analyze and communicate technical constraints, data availability, and system impacts to business sponsors
- Coordinate with engineering teams to perform user acceptance testing and validate results
Benefits
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
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