Job Description:
Responsibilities:
Strategic Business And Data Alignment:

• Act as a data strategist and trusted advisor to senior business stakeholders, translating business goals into data requirements and actionable solutions.
• Lead Client sessions and stakeholder interviews to deeply understand business drivers, KPIs, and analytical needs across departments.

Data Mapping And Azure Ecosystem Leadership:

• Lead the mapping of complex data flows across Azure components, including Azure Data Factory, Azure Synapse Analytics, Data Lake, and SQL Databases.
• Work closely with data architects to ensure business requirements are aligned with data models, pipelines, and architectural standards.
• Develop and maintain robust documentation, including data lineage, flow diagrams, and interface mapping.

Change Request And Implementation Governance:

• Own the lifecycle of high-impact change requests: from impact analysis and prioritization through to deployment and post-implementation review.
• Collaborate with product owners, developers, QA teams, and DevOps to ensure changes are implemented with minimal disruption.
• Manage change control boards, sprint planning sessions, and delivery timelines for data platform initiatives.

Data Governance, Quality, and Compliance:

• Partner with data governance and compliance teams to ensure data solutions adhere to enterprise standards, privacy policies, and security frameworks.
• Define data quality metrics and collaborate on anomaly detection and resolution processes.

Advanced Data Analysis And Reporting:

• Conduct high-value data investigations and complex queries across structured and unstructured datasets.
• Deliver advanced dashboards and reporting solutions in Power BI, ensuring consistent performance, reliability, and stakeholder satisfaction.
• Provide insights and recommendations to executive stakeholders using robust analytical storytelling.

Minimum Qualifications:

• Bachelor s or Master s degree in Data Science, Computer Science, Information Systems, or a related technical discipline.
• 6+ years of experience in data analysis, business analysis, or analytics consulting within enterprise environments.
• Proven experience working with Azure data services at scale, with strong familiarity with data pipelines, transformation layers, and storage components.
• Advanced proficiency in SQL, Power BI.
• Demonstrated success in managing complex data projects, including multi-stakeholder coordination, technical translation, and delivery oversight.

Preferred Qualifications:

• Experience with Agile methodologies, sprint planning, and backlog management (e.g., Azure DevOps, Jira).
• Certifications in Azure Data Fundamentals.

Key Competencies:

• Executive Communication: Ability to engage and influence senior leaders with data-driven storytelling.
• Systems Thinking: Holistic understanding of how data flows through people, processes, and technology.
• Leadership: Self-starter with the ability to lead cross-functional initiatives with minimal oversight.
• Attention to Detail: Precision in requirements documentation, quality assurance, and delivery hand-offs.