Data & Analytics Consultant
Listed on 2026-07-15
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IT/Tech
Business Systems & Technology Analysis, Business Intelligence, Data Analyst -
Business
Business Systems & Technology Analysis, Business Intelligence, Data Analyst
What You'll Do
We are looking for someone who can partner with business leaders and cross‑functional teams across Strategy, Marketing, and Customer Experience to shape analytics opportunities, guide solution direction, and translate complex analytical work into clear business decisions and actions. Leads analytics initiatives across a domain or portfolio of work, connecting stakeholder needs, data considerations, technical capabilities, and business strategy to deliver measurable value.
This role serves as a strategic translator and thought partner, helping stakeholders frame business problems, evaluate analytics and AI‑enabled opportunities, understand trade‑offs, and prioritize work that supports business outcomes. The role influences, connects work across initiatives, and helps mature the analytics consulting practice through strong stakeholder engagement, storytelling, enablement, and execution discipline.
Core Responsibilities
- Build and maintain strategic relationships with business stakeholders to understand business priorities and opportunities for analytics to create value.
- Lead discovery and strategic framing conversations to clarify business problems, define success criteria, identify measurable outcomes, and translate stakeholder priorities into analytics opportunities.
- Shape how analytics, modeling and AI capabilities are applied to solve business problems, understanding business context, feasibility, trade‑offs, and expected value.
- Lead complex analytics initiatives from discovery through delivery, ensuring scope, dependencies, milestones, risks, and stakeholder expectations are clearly defined, managed, and communicated.
- Connect work across initiatives to identify synergies, gaps, risks, dependencies, and opportunities to improve consistency, sequencing, and business impact across the portfolio.
- Partner with technical teams, data owners, and governance partners to assess data availability, quality, relevance, limitations, and readiness; communicate data considerations in business terms and shape feasible solution paths.
- Influence prioritization by connecting analytics work to broader business outcomes, stakeholder strategies, and organizational priorities.
- Drive clear, consistent communication throughout the initiative lifecycle, including progress, decisions, risks, assumptions, changes, and value delivered.
- Develop compelling narratives that connect analytics insights to business outcomes, using storytelling to influence stakeholder understanding, adoption, and action.
- Educate stakeholders on analytics capabilities, data literacy, modeling concepts, metrics, and solution implications to support adoption and more confident decision‑making.
Who You Are
Bachelor's degree in Business, Analytics, Technology, Marketing, or a related field, or equivalent experience; 4+ years of experience in consulting, strategy, analytics, product management, program management, business transformation, or related disciplines.
Strong business acumen with the ability to understand organizational goals, operational processes, stakeholder needs, and opportunities to drive business value.
Demonstrated ability to frame ambiguous business problems, facilitate stakeholder alignment, define success measures, evaluate alternative approaches, and translate needs into actionable solutions.
Strong consulting, facilitation, and communication skills, including the ability to influence stakeholders, tailor messages to different audiences, and present recommendations to leaders.
Familiarity with emerging analytics and AI capabilities and the ability to identify opportunities where these approaches can support business outcomes, improve decision‑making, or enhance stakeholder experiences.
Understanding of analytics, AI, and modeling approaches, including descriptive, diagnostic, predictive, and prescriptive analytics, with the ability to explain use cases, trade‑offs, risks, and business implications to non‑technical audiences.
Working knowledge of data environments, data quality considerations, governance processes, and analytics or business intelligence tools (e.g., SQL, Power BI, Tableau, Python, R, or similar), with an emphasis…
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