Data Analytics Specialist

Data Engineering, Architecture & AI Enablement

• Manage the hands-on design and execution of data engineering and analytics solutions aligned to business priorities.
• Own and scale data platforms, pipelines, and analytics solutions across C&I use cases.
• Architect and manage development of scalable, secure, high-performance data platforms in MS Azure.
• Establish best practices for data ingestion, transformation, modelling, governance, and reuse of data assets and pipelines.
• Ensure high-quality, reliable, and trusted data pipelines for analytics and advanced use cases.
• Drive adoption of AI-enabled analytics capabilities, including Gen AI, Copilot Studio, and Agentic AI frameworks.
• Enable integration of LLMs and AI services for summarization, insights generation, and workflow automation.

Analytics Delivery & Business Impact

• Translate complex business problems into data and analytics solutions delivering measurable outcomes.
• Manage development of dashboards, advanced analytics models, and decision-support tools.
• Enable business teams to move from data → insight → action through storytelling and visualization.
• Identify opportunities to embed analytics into products, workflows, and decision-making processes.

Stakeholder Management & Program Leadership

• Engage senior stakeholders as a trusted advisor, translating business needs into scalable data solutions.
• Manage cross-functional programs across business, analytics, and technology teams.
• Manage multiple workstreams ensuring delivery quality, timelines, and stakeholder satisfaction.
• Drive collaboration across global, multi-disciplinary teams.

Governance, Quality & Capability Building

• Ensure adherence to data governance, privacy, GDPR, and information security standards.
• Establish frameworks for data quality, lineage, and metadata management.
• Monitor and optimize performance, scalability, and cost efficiency of data platforms.
• Build and mentor high-performing data and analytics teams.
• Drive a data-first and AI-first culture across the organization.
• Stay current with emerging technologies and pilot new tools, frameworks, and accelerators.

Skills and Attributes for Success

• Strong data & analytics solutioning mindset, with ability to connect technology to business outcomes.
• Proven ability to translate strategy into scalable execution.
• Strong executive presence and ability to influence senior stakeholders.
• Deep problem-solving skills with structured and hypothesis-driven thinking.
• Ability to manage complex programs across geographies and stakeholders.
• Strategic, innovative, and outcome-oriented mindset.
• Strong communication and storytelling skills to simplify complex insights.
• Collaborative leadership style with focus on team development and capability building.

Technical Expertise

• Strong hands-on experience in data engineering and analytics.
• Proficiency in SQL, Python, and modern data processing frameworks.
• Strong expertise in Microsoft Azure ecosystem (e.g., Azure Data Factory, Synapse, Data Lake, etc.).
• Experience with data modelling, architecture design, and performance optimization.
• Hands-on experience with Power BI or similar visualization tools.
• Familiarity with data integration, APIs, and enterprise data platforms.

Good to Have

• Exposure to Gen AI, LLMs, and AI-driven analytics use cases.
• Experience with Copilot Studio, Power Platform, or similar low-code AI ecosystems.
• Understanding of Agentic AI frameworks and automation-driven workflows.
  • Exposure to Alteryx or advanced analytics tools.