Analytics and Insights Lead (Enterprise Operations Enablement Data & Analytics) - Hybrid
About The Position
The Analytics & Insights Lead serves as a strategic partner to business leaders across Enterprise Operations, helping transform data into actionable insights that support decision-making and business outcomes. The role collaborates with stakeholders to understand business challenges, identify opportunities, solve complex problems, and develop analytical solutions that improve performance, efficiency, risk management, and customer experience. The ideal candidate has a strong background in analytics, insight generation, and data storytelling, with the ability to translate complex information into clear, compelling narratives that influence decisions and inspire action. Success requires analytical expertise, business acumen, communication skills, and the ability to lead through influence across cross-functional teams. This is a hybrid role. Employees are expected to work onsite four days per week and may work remotely one day per week. Candidates must reside within a reasonable commuting distance of 575 Main Street, Buffalo, NY 14203. The annual pay range is $74,600 to $124,400 USD; individual compensation depends on the candidate’s knowledge, skills, and experience.
Requirements
- Bachelor's degree or equivalent work experience.
- 4+ years of related experience, such as business analytics, operations, consulting, process improvement, business intelligence, project management, or a related field.
Nice To Haves
- Ability to perform complex quantitative and business analysis, develop performance measurement frameworks, and translate analytical findings into strategic recommendations.
- Experience partnering directly with business leaders and stakeholders to solve operational challenges.
- Strong consultative approach and ability to build credibility, influence decisions, and serve as a trusted advisor.
- Excellent communication and interpersonal skills, with ability to work effectively across diverse teams and leadership levels.
- Ability to tell a compelling story with data and translate analytical findings into actionable business insights.
- Experience creating dashboards, reports, and data visualizations that drive business decisions.
- Strong analytical and problem-solving skills, including ability to simplify complex information.
- Working knowledge of banking operations, financial services, or operational support functions.
- Experience with SQL, Power BI, Excel, Alteryx, Tableau, Python, Copilot, or similar analytics and reporting platforms.
- Curiosity, adaptability, and a continuous improvement mindset.
Responsibilities
- Serve as a trusted advisor to business leaders by providing data-driven insights, recommendations, and decision support aligned to strategic and operational objectives.
- Partner with stakeholders to understand business challenges, identify opportunities, and develop analytical solutions that support informed decision-making.
- Lead complex analyses to identify trends, risks, opportunities, and performance drivers across operational processes.
- Translate complex data and analytical findings into actionable insights, compelling business narratives, and executive-level recommendations through effective data storytelling.
- Design, develop, and maintain reporting, dashboards, scorecards, and performance measurement solutions that provide meaningful visibility into business performance and outcomes.
- Lead cross-functional initiatives focused on process improvement, operational efficiency, automation, business transformation, and strategic priorities.
- Drive business outcomes by implementing analytical recommendations, defining success measures, and measuring realized value and business impact.
- Establish and enhance key performance indicators, metrics, and analytical frameworks that support accountability and continuous improvement.
- Support the evaluation, planning, testing, and implementation of new processes, products, technologies, and business initiatives.
- Mentor and provide guidance to less experienced team members while promoting analytical best practices, innovation, and continuous improvement.
- Foster a culture of collaboration, data-driven decision-making, operational excellence, and continuous learning.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
