รber diese Business Systems Analyst - Data Stelle bei Weekday AI
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ด๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฑ-๐ฎ๐ด ๐๐ฃ๐)
Experience: 12+ yrs
Location: Hyderabad, Telangana, India, Bengaluru, Karnataka, India
Job Type: Full-time
We are looking forย an experiencedย Business Analyst / Business Systems Analyst โ Dataย with 12+ years of experience to support enterprise data, cloud, and business transformation initiatives. The role requires strong expertise inย business analysis, data requirements, data modeling, data quality, KPI definition, stakeholder management, and requirements documentation, along with a solid understanding of theย Microsoft Azure data ecosystem.
The ideal candidate willย act as a bridge between business stakeholders and technical teams, translating complex business needs into clear, actionable functional and data requirements. Strong experience withย Azure Data Lake Storage (ADLS), Databricks, SQL, data pipelines, and modern data platformsย is highly desirable.
Requirements
Key Responsibilities
- Act as aย Business Systems Analystย supporting enterprise data and cloud initiatives.
- Gather, analyze, document, and validate business and data requirements.
- Translate business needs into detailed functional specifications, data requirements, user stories, and acceptance criteria.
- Define requirements forย Azure-based data platforms, including ADLS, Databricks, and related technologies.
- Collaborate with data engineers and architects to define data inputs, transformations, outputs, dependencies, and data flows.
- Support the design and evolution of data models acrossย raw, curated, and consumption layers.
- Define data quality requirements, validation rules, business rules, metadata, lineage, and governance requirements.
- Establish clear definitions forย KPIs, metrics, dashboards, and business reporting.
- Use SQL for data analysis, validation, reconciliation, and requirements clarification.
- Analyze business processes and data flows to identify gaps, dependencies, risks, and improvement opportunities.
- Ensure data requirements address relevantย compliance, regulatory, audit, and control-tracking needs.
- Prepare and maintainย BRDs, FRDs, user stories, process flows, data requirements, data flow diagrams, and acceptance criteria.
- Facilitate discussions between business, product, data, architecture, and technology stakeholders.
- Support requirements clarification throughout development, testing, implementation, and deployment.
- Participate inย Agile/Scrum ceremonies, including backlog refinement, sprint planning, reviews, and stakeholder discussions.
- Support UAT by validating business requirements, data scenarios, and expected outcomes.
- Maintain requirements traceability and ensure documentation remains accurate throughout the delivery lifecycle.
- Communicate complex data and business concepts effectively to technical and non-technical stakeholders.
What Makes You a Great Fit
- 12+ years of experienceย inย Business Analysis, Business Systems Analysis, or related enterprise technology roles, with significant experience in data-driven initiatives.
- Strong experience working as aย Business Analyst / Business Systems Analystย on enterprise data platforms and transformation programs.
- Strong understanding ofย Azure data technologies, particularlyย ADLS and Databricks.
- Strong SQL skills for data analysis, validation, reconciliation, and requirement clarification.
- Good understanding ofย data pipelines, data ingestion, transformation, data flows, data warehouses, data lakes, and lakehouse architectures.
- Experience defining and supporting data models across raw, curated, and consumption layers.
- Strong understanding ofย data quality, validation, metadata, lineage, governance, and data controls.
- Experience defining business rules and requirements related to compliance, auditability, and regulatory controls.
- Proven ability to define requirements forย KPIs, metrics, reporting, dashboards, and analytics.
- Strong requirements gathering, process analysis, documentation, and stakeholder-management skills.
- Experience creatingย BRDs, FRDs, user stories, process flows, data flow diagrams, and acceptance criteria.
- Strong understanding ofย Agile/Scrum methodologiesย and end-to-end delivery lifecycles.
- Excellent analytical, written, verbal, presentation, and communication skills.
- Experience supportingย enterprise data modernization or cloud migration initiativesย is an advantage.
- Exposure toย Azure Databricks, lakehouse architecture, data governance, metadata management, and BI/reporting platformsย is preferred.
- Ability to workย effectively with distributed teams and cross-functional stakeholders.
- Bachelor's or Master's degree inย Computer Science, Information Technology, Business, Engineering, Data/Analytics, or a related discipline.