Senior Business Analytics & Reporting Analyst responsible for developing reports and dashboards for M&T Bank. Involves analyzing data, streamlining processes, and supporting business operations.
About the role
- Business Intelligence & Data Governance Manager enabling data-driven and AI-ready decision making for Rockwell Automation. Leading BI delivery while establishing strong data governance and quality.
Responsibilities
- Lead the delivery of BI solutions that provide applicable insights across LCS operations, finance, delivery, quality, and performance management.
- Partner with business stakeholders to understand priorities, translate requirements into analytics and AI‑enabled insight opportunities, and prioritise BI demand.
- Improve adoption of standardised dashboards, and self‑service analytics to maximise value from existing BI platforms.
- Align insights to strategic priorities and enable proactive, data-driven decision-making across LCS.
- Identify opportunities where advanced analytics, predictive insights, or AI‑assisted decision support can enhance outcomes.
- Define LCS data governance frameworks, including data ownership, stewardship, standards, and quality controls.
- Establish consistent definitions, metrics, and master data practices to reduce gaps and improve trust in data.
- Ensure data foundations (quality, lineage, security, access, and documentation) are in place to support AI readiness and responsible AI use.
- Partner with enterprise data, IT, cybersecurity, compliance, and AI governance teams to ensure agreement on corporate policies.
- Monitor and continuously improve data quality, integrity, and consistency across different LCS data sources, recognising that AI success is directly dependent on high‑quality, well‑governed data.
- Support AI use case prioritisation by assessing data feasibility (availability and accuracy) for use cases under consideration.
- Serve as the LCS data and analytics subject‑matter expert, guiding best practices for reporting, visualisation, data governance, and AI‑adjacent analytics capabilities.
- Support integration initiatives, system changes, and new digital capabilities by ensuring data readiness, governance, and reporting alignment.
- Collaborate with AI, digital, and automation initiatives to ensure LCS data is prepared for AI models, copilots, and advanced analytics use cases.
- Contribute to the LCS Operational Excellence strategy by promoting analytics, governance, and AI‑ready data practices into business processes.
- Lead a team of BI managers, data engineers, scientists and analysts (combination of direct and indirect), fostering a culture of collaboration, curiosity, and continuous improvement.
- Act as a trusted advisor to senior leaders, clearly communicating insights, risks, data limitations, and AI readiness considerations in a business‑focused manner.
- Educate and influence partners on the importance of data quality, governance, and discipline as critical enablers of AI success.
- Build strong cross‑functional relationships across LCS, IT, Finance, Quality, Operations, and Digital/AI teams.
Requirements
- 10+ years of background in Business Intelligence, analytics, and data visualisation tools (e.g., Power BI or equivalent).
- Demonstrated experience with data governance, data quality management, and data standards in complex organisations.
- Understanding of AI and advanced analytics concepts, including how data quality, structure, and governance impact model performance and reliability.
- Experience working with multiple data sources, integrating disparate systems, and addressing data consistency challenges.
- Ability to translate business questions into structured and AI‑enabled insight solutions.
- Proven experience partnering with senior stakeholders to drive adoption of analytics and AI‑informed decision making.
- Experience balancing tactical reporting needs with long‑term strategic analytics, governance, and AI readiness initiatives.
- Familiarity with the LCS business, operational, services, or industrial business models
- Experienced people manager, both direct and indirect.
Benefits
- Comprehensive mindfulness programs with a premium membership to Calm
- Volunteer Paid Time off available after 6 months of employment for eligible employees
- Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
- Employee Assistance Program
- Personalized wellbeing programs through our OnTrack program
- On-demand digital course library for professional development
- ... and other local benefits!
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