Senior Business Analyst at Devoteam

South Jakarta, Jakarta, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analysis, Data Warehousing, SQL, Agile, Data Modeling, Cloud Data Platforms, Stakeholder Management, User Acceptance Testing, Data Governance, Data Analysis, Machine Learning, Business Intelligence, Project Management, Communication, Documentation, Technical Requirements

Industry

Business Consulting and Services

Description

Company Description Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity. By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future. With 25 years’ of experience and 8,000 employees across Europe and the Middle East, Devoteam promotes responsible tech for people and works to create better change. #Creative Tech for Better Change Devoteam has launched in January 2021 its new strategic plan, Infinite 2024, with the ambition to become the #1 EMEA partner of the leading Cloud-based platform companies (AWS, Google Cloud, Microsoft, Salesforce, ServiceNow), further reinforced by deep expertise in digital strategy, cybersecurity, and data. Job Description Requirements Elicitation & Documentation Lead workshops and interviews with business stakeholders, data owners, and end-users to deeply understand business processes and reporting requirements both on Pre-Project and Project Phase. Lead requirements-gathering sessions, workshops, and interviews with business and technical stakeholders to elicit, analyze, and validate needs for various GCP initiatives. Translate business needs into clear, well-defined technical requirements, documenting them as Epics, User Stories, and Acceptance Criteria in tools like Jira and Confluence. Analyze and document requirements not only for Data Warehouse migrations (e.g., to BigQuery) but also for: Data & Analytics Platforms: Defining requirements for data pipelines (Cloud Dataflow, Dataproc), real-time streaming solutions (Pub/Sub), and business intelligence dashboards. Application Modernization: Capturing specifications for migrating applications to Google Kubernetes Engine (GKE), Cloud Run, or App Engine. AI/ML Initiatives: Eliciting requirements for machine learning models, defining success metrics, and specifying data inputs for Vertex AI projects. Differentiate and manage both functional requirements (what the system must do) and non-functional requirements (e.g., performance, security, scalability, data residency, and compliance) specific to the GCP environment. Define and document source-to-target data mappings, transformation rules, and data quality expectations for various datasets. Manage and prioritize the project backlog in collaboration with the Project Manager and Lead Data Engineer, using tools like Jira or Confluence. Data Analysis & Solution Design Analyze and document the client's current-state data ecosystem, including existing EDWs, ETL processes, data models, and BI reporting dependencies. Work closely with Data Architects to map legacy data models to modern, scalable architectures utilizing GCP services (e.g., BigQuery, Cloud SQL, Cloud Storage). Serve as the functional expert, clarifying ambiguities for the engineering team and validating that implemented solutions meet the defined business objectives. Define and document data governance, security, and compliance requirements (e.g., PII handling, data retention policies) within the new GCP environment. Stakeholder Management & UAT Facilitate continuous communication between the business units, technical data engineering team, and cloud architects. Develop detailed User Acceptance Testing (UAT) plans, scenarios, and test scripts based on requirements. Coordinate and execute UAT sessions, manage defect resolution, and obtain final business sign-off prior to production deployment. Provide training and clear documentation to support the smooth transition of the client’s internal teams to the new data platform. Qualifications Technical & Domain Expertise (Must-Haves) 3+ years of experience as a Business Analyst, specializing in data, analytics, Business Intelligence (BI), or Data Warehousing projects. Strong understanding of data modeling concepts (Dimensional Modeling, 3NF, Data Vault) and how they apply to modern cloud data platforms. Proficiency in SQL for data discovery, analysis, validation, and querying large datasets. Proven experience in a project involving migration from a legacy data platform (e.g., Oracle, Teradata, SQL Server) to a cloud environment. Experience working within Agile/Scrum methodologies. Consulting & Soft Skills Exceptional communication, presentation, and facilitation skills, with the ability to effectively run technical and business-focused workshops. Proven ability to manage multiple senior stakeholders and resolve conflicting requirements in a client-facing consultative setting. Excellent organizational skills and meticulous attention to detail in requirements documentation. Fluency in English (additional local language proficiency is a plus). Preferred (Nice-to-Have) Skills Cloud Exposure: Direct experience or strong familiarity with Google Cloud Platform (GCP) and its data services (especially BigQuery). Tooling: Experience with modern data transformation tools like dbt or data cataloging solutions. Certification: Industry certifications such as Certified Business Analysis Professional (CBAP) or a relevant Google Cloud certification (e.g., Associate Cloud Engineer). BI Tools: Familiarity with BI tools (e.g., Looker, Tableau, Power BI) and understanding of how data warehouse design impacts reporting performance. Additional Information At the moment we are only able to hire candidates based in Jakarta for a full-time working hour.

Responsibilities

The Senior Business Analyst will lead workshops and interviews to gather and document business requirements for various GCP initiatives. They will also analyze the client's data ecosystem and facilitate communication between business units and technical teams.