Analytics Strategy Consultant

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June 18

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Aimpoint Digital

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Artificial Intelligence • Analytics • Consulting

Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.

51 - 200 employees

🤖 Artificial Intelligence

📋 Description

• You will become a trusted advisor working closely with our clients, from data owners and analytic users to C-level executives to shape their Data, Analytics and AI transformation agendas. • You will work at the intersection of business, technology, and innovation, driving value through enterprise data strategies, AI enablement, data product development, and monetization initiatives. • You will assess the current state of clients’ data landscapes, AI readiness, and analytics maturity through structured stakeholder interviews, workshops, and diagnostic frameworks. • Based on this, you will determine business needs and desired future state capabilities or products and quantify expected value and business impact. • You’ll partner closely with business stakeholders and our Data Engineers, Data Scientists, and Data Analysts to define target state architectures, use cases, operating models, governance, and strategic roadmaps that turn data into scalable, monetizable assets or analytics & AI solutions for the business. • Additionally, you will contribute to practice offerings and assets around topics such as Enterprise Data Strategy, AI Strategy, and Data Product & Monetization Strategy.

🎯 Requirements

• Bachelor’s in a quantitative field or Master’s degree in Business • Strong communication skills (oral, verbal, and listening) with ability to influence key decision-makers • 2-4 years of data strategy experience • 1-3 years in client-facing advisory roles, ideally within top-tier consulting firms or innovation-driven companies • Experience developing Analytics and Data Strategy deliverables (e.g. Operating model design, Use Case Definition, Strategic Roadmap Creation, Self Service Analytics Strategy, etc.) • Familiarity with modern data platforms and tools: Snowflake, Databricks, Azure, AWS, GCP, dbt, coalesce, Dataiku, Alteryx, Sigma, Alation, Tableau, Power BI • Working Knowledge AI/ML concepts, and AI/ML frameworks, RPA, and MLOps • Knowledgeable on data product management principles, including product lifecycle management, data service design, and go-to-market strategy. • Strong analytical skills with demonstrable experience in outlining business cases or value driven strategic recommendations • Experience in being a part of or applying structured organizational change management approaches across all facets of analytics-related change preferred