We are seeking an experienced Senior Business Analyst / Business Systems Analyst – Data to support enterprise data transformation and cloud platform initiatives. The ideal candidate will bring strong expertise in business systems analysis, data requirements, data modelling, data quality, KPI definition, and functional documentation, along with a solid understanding of the Microsoft Azure data ecosystem.
This role requires a professional who can bridge the gap between business stakeholders and technical teams, translating complex business needs into clear, actionable requirements for scalable, reliable, and governed data platforms.
Requirements
Key Responsibilities
Act as a Business Systems Analyst for enterprise data, cloud transformation, and data platform initiatives.
Gather, analyse, and document business, functional, and data requirements from stakeholders.
Define requirements for developing, enhancing, and evolving Azure-based data platforms .
Work with technical teams leveraging ADLS, Databricks, SQL, and related data technologies.
Support the definition and evolution of data models across raw, curated, and consumption layers.
Collaborate with data engineers and architects to define data inputs, transformations, outputs, dependencies, and data flows.
Define data quality standards, validation rules, business logic, metadata requirements, and data control mechanisms.
Ensure data requirements address application functionality, regulatory obligations, compliance, and auditability.
Partner with engineering teams to establish requirements for KPIs, metrics, dashboards, and business reporting.
Define KPI calculations, business definitions, data dependencies, and monitoring requirements.
Analyse business processes and data flows to identify gaps, risks, dependencies, and opportunities for improvement.
Prepare detailed Business Requirements Documents (BRDs), Functional Requirements Documents (FRDs), user stories, process flows, data specifications, and acceptance criteria .
Facilitate discussions across business, product, data, and technology teams to clarify requirements and resolve ambiguities.
Participate in Agile ceremonies, including backlog refinement, sprint planning, sprint reviews, and stakeholder discussions.
Support UAT by validating requirements, data scenarios, business rules, and expected outcomes.
Maintain requirements traceability and accurate documentation throughout development, testing, and implementation.
Communicate complex data and business concepts clearly to technical and non-technical stakeholders.
What Makes You a Great Fit
12–15 years of overall experience in Business Analysis or Business Systems Analysis, with substantial exposure to data-driven initiatives.
Proven experience supporting enterprise data platforms, cloud transformation, or data modernisation projects.
Strong understanding of the Microsoft Azure data ecosystem , particularly ADLS, Databricks, and SQL.
Good knowledge of data ingestion, pipelines, transformations, data flows, data warehouses, data lakes, and lakehouse concepts.
Experience defining data requirements and supporting modelling across raw, curated, and consumption layers.
Strong understanding of data quality, validation, metadata, lineage, governance, and audit controls.
Experience translating business needs into detailed functional and technical requirements for engineering teams.
Strong SQL skills for data analysis, validation, and requirements clarification.
Experience defining KPIs, metrics, reporting requirements, and data-driven business rules.
Excellent requirements gathering, process analysis, stakeholder management, and documentation skills.
Strong understanding of Agile/Scrum methodologies and end-to-end software delivery.
Ability to coordinate across cross-functional and distributed teams while managing competing priorities.
Excellent analytical, problem-solving, communication, and presentation skills.
A bachelor’s or master’s degree in Computer Science, Information Technology, Business, Engineering, Data Analytics, or a related discipline is preferred.
... scalable data pipelines and third-party API integrations. - Work with business teams and analysts to interpret business rules and derive insights. - Implement data-quality processes, monitoring, and alerting to maintain accurate and available production data. - Analyze and troubleshoot data issues and assist with their resolution. ...
Baxter seeks a Data Engineer to develop and support ETL and data transformation jobs using PySpark and IBM DataStage in AWS. The role involves building new pipelines, enhancing existing systems, performing code reviews, and providing technical support for a global data warehouse. Responsibilities - Develop new ETL and data ...
... participate in design reviews, and help keep our schemas and contracts sane as the system grows What You'll Bring Must have - 1–3 years of professional software engineering experience, with meaningful exposure to data-intensive systems - Strong programming skills in Python, Java, or Scala, and the ability to write production-quality, ...
Amgen seeks a Level 4 Data Engineer in Hyderabad to design and build data solutions, ETL pipelines, and data governance frameworks. The role involves working with large datasets, cloud platforms, and AI technologies to deliver actionable insights for business decisions. Responsibilities - Design, develop, and maintain end-to-end ...
... execution hints to improve performance. - IBM DataStage experience preferred. - Able to write SQL code sufficient for most business requirements for pulling data from sources, applying rules to the data, and stocking target data - Proven track record in troubleshooting ETL jobs and addressing production issues like performance ...
... maintain scalable data engineering solutions.- Develop and manage ETL/ELT pipelines for data ingestion, transformation, and processing.- Work extensively with Databricks for data engineering and data processing requirements.- Develop and optimize data solutions using GCP BigQuery.- Develop data engineering solutions using ...
... experience with Hadoop / Big Data platforms.- Strong exposure to Big Data platform engineering and related technologies.- Experience working on/with complex data platforms and large-scale data environments.- The requirement is specifically for a Data Engineer / Big Data Engineer, not a generic application/development profile.- ...
... subordinate team members to meet established timelines. Requirements - 3–5 years of experience. - Knowledge of SQL and Python. - Experience or knowledge of data engineering, data modelling, ETL/ELT development, data pipelines, cloud data platforms, database management, data warehousing, and data lakes. - Knowledge of data analysis, ...
... and analytics. - Implement data quality checks, validation frameworks, monitoring, error handling, and pipeline performance improvements. - Collaborate with Data Analysts, Data Scientists, Product Teams, and Business Stakeholders to understand requirements and deliver scalable data solutions. - Follow data engineering ...
Amgen seeks a Level 4 Data Engineer to design, build, and maintain data solutions that drive business decisions. The role involves developing ETL pipelines, managing large datasets, implementing data governance, and collaborating across teams to deliver scalable data infrastructure. Responsibilities - Design, develop, and ...
... effective solutions - Ensure adherence to best practices related to data governance, quality, and security across all data pipelines - Automate and optimize data processing tasks to improve reliability and reduce manual intervention - Drive adoption of emerging big data technologies, cloud engineering, and automation practices ...