Sr. Manager/ Associate Director - Analytics Consulting (Banking)

Tiger Analytics

  • Minneapolis, MN
  • 30+ days ago
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    Skills

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Bank Managementunmatched
    • Banking Servicesunmatched
    • Business Intelligenceunmatched
    • Business Skillsunmatched
    • Channel Strategiesunmatched
    • Cloud Computingunmatched
    • Consultingunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Insuranceunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Market Researchunmatched
    • Metricsunmatched
    • Performance Metricsunmatched
    • Wealth Managementunmatched

    Description

    Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

    We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Partner directly with the VP of Enterprise Analytics of our client to evaluate performance across our insurance, banking, and wealth management business lines. You will design forward-looking, non-traditional KPIs and recommend the enterprise-wide aggregation frameworks required to unify firm-level strategic decision-making.

    Responsibilities:

    • Can oversee teams including data engineers, data scientists, and business intelligence analysts
    • Define Advanced Metrics: Collaborate with business unit leaders to isolate operational value drivers and design advanced, behavioral, and leading KPIs that look beyond traditional Wall Street metrics.
    • Architect Aggregation Frameworks: Establish robust enterprise-level data aggregation and normalization frameworks to consolidate disparate business line metrics safely.
    • Enforce Data Governance: Recommend semantic translation layers and data quality loops across legacy systems and modern cloud environments to maintain a single version of truth.
    • Drive Executive Strategy: Translate highly complex, multi-vertical analytical insights into clear, actionable roadmaps for executive and Board-level stakeholders.

    Numbers & Facts

    LocationMinneapolis, MN

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