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Data Strategy Consultant Jobs (NOW HIRING)

MHI

Senior Strategy Consultant

Plano, TX · On-site

The Senior Strategy Consultant will lead and execute internal consulting projects that provide ... Professional experience in industrial, data center, electrification, or technology sectors

Atonom

AI Strategy Consultant

Provo, UT

Role AI Strategy Consultant | Full-Time | On-Site Position (Provo, UT) About Atonom At Atonom.ai ... You are comfortable discussing APIs, data structures, and logic flows, and best in class business ...

USAA

Senior Strategy Consultant

Plano, TX · On-site +1

Lead and support internal consulting projects focused on strategy development, growth ... Skilled in analyzing data to draw conclusions and inform strategic decisions. * Proven track record ...

Zifo

Associate Scientific Strategy Consultant

Boston, MA · Remote

We help organizations accelerate discovery, optimize development pipelines, and leverage data to achieve measurable impact. Position Overview: The Associate Scientific Strategy Consultant sits within ...

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phData

AI & Data Strategy Leader

Mentor consultants and senior consultants on strategic thinking, executive presence, and delivery quality Required Qualifications * 6+ years as a hands-on AI or data strategy leader, owning strategy ...

USAA

Senior Strategy Consultant

San Antonio, TX · On-site

Lead and support internal consulting projects focused on strategy development, growth ... Skilled in analyzing data to draw conclusions and inform strategic decisions. * Proven track record ...

USAA

Senior Strategy Consultant

San Antonio, TX · On-site +1

Lead and support internal consulting projects focused on strategy development, growth ... Skilled in analyzing data to draw conclusions and inform strategic decisions. * Proven track record ...

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Data Strategy Consultant information

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How much do data strategy consultant jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for data strategy consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

How does a Data Strategy Consultant typically collaborate with cross-functional teams within an organization?

Data Strategy Consultants work closely with stakeholders from various departments such as IT, marketing, finance, and operations to align data initiatives with business goals. They facilitate workshops, lead discovery sessions, and translate technical concepts for non-technical audiences to ensure everyone is on the same page. Effective communication and relationship-building are crucial, as consultants often serve as a bridge between technical teams (like data engineers) and business leaders. This collaborative approach helps create data strategies that are both practical and impactful for the organization.

What does a data strategy consultant do?

A data strategy consultant helps organizations develop plans to effectively collect, manage, and utilize data to achieve business goals. They analyze existing data processes, recommend tools and best practices, and create roadmaps for data governance, analytics, and infrastructure. Strong analytical skills and knowledge of data management tools are essential for this role.

What is the salary of a strategy consultant?

The salary of a strategy consultant typically ranges from $70,000 to $150,000 annually, depending on experience, location, and the size of the firm. Senior or specialized consultants can earn higher compensation, often including bonuses and benefits. Entry-level positions generally start at the lower end of this range.

How much do data consultants get paid?

Data strategy consultants typically earn between $70,000 and $150,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in data analytics, machine learning, or cloud platforms can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project scope and client size.

What is the difference between Data Strategy Consultant vs Data Analyst?

AspectData Strategy ConsultantData Analyst
Required CredentialsBachelor's or master's in data science, business, or related fields; certifications like CDMP or DASCABachelor's degree in data science, statistics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentAdvises organizations on data initiatives, often in consulting firms or corporate strategy teamsAnalyzes data sets to generate reports, often within companies or departments
Employer & Industry UsageConsulting firms, large corporations, industries focusing on data-driven decision makingBusinesses across sectors, including finance, marketing, healthcare, and tech

While both roles involve working with data, a Data Strategy Consultant focuses on developing overarching data strategies and advising organizations, whereas a Data Analyst primarily interprets data to support operational decisions. The roles often overlap but differ in scope and strategic focus.

What are the key skills and qualifications needed to thrive as a Data Strategy Consultant, and why are they important?

To thrive as a Data Strategy Consultant, you need expertise in data analytics, business strategy, and data governance, often backed by a relevant bachelor’s or master’s degree. Familiarity with data visualization tools (like Tableau or Power BI), data management platforms, and certifications such as CDMP or DAMA are typically required. Strong communication, problem-solving, and stakeholder management skills set exceptional consultants apart. These skills ensure effective alignment of data initiatives with business objectives, enabling data-driven decision-making and organizational growth.

Is 30 too old to get into consulting?

Data Strategy Consultants, like many consulting roles, value diverse experience and skills over age. Professionals often enter consulting in their 30s or later, bringing industry knowledge and analytical expertise that are highly valued. Age is generally not a barrier if you have relevant skills, certifications, and a strong understanding of data analysis tools and strategic thinking.
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Data Strategy Consultant jobs near you
Strategy Consultant - Allocation & Replenishment

Strategy Consultant - Allocation & Replenishment

Tiger Analytics Inc.

New York, NY • On-site, Remote

Full-time

Posted 28 days ago

Key responsibilities

  • Lead bi-weekly allocation performance reviews with brand planning teams and present KPI diagnostics with root-cause analysis.

  • Leverage dashboards and diagnostic tools to monitor allocation outcomes, identify issues, and analyze KPI misses to pinpoint actionable root causes.

  • Translate diagnostic findings into specific vendor improvement tickets, advise brand planning teams on allocation strategy decisions, and maintain the vendor accountability framework.

Job 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 a Value Strategy Consultant owning the business relationship with brand planning teams and serving as the strategic voice of allocation performance. You will not manage the allocation engine or build dashboards; your role is to interpret what the numbers mean, why outcomes occur, and what should change, using automated diagnostic tools to translate insights into clear recommendations for vendors, internal partners, and leadership.
This role is part strategist, part diagnostician, and part trusted advisor, acting as a fiduciary advocate for brands by proactively identifying issues, driving solutions, and communicating with transparency.
RESPONSIBILITIES:
  • Business Performance Ownership
    • Lead bi-weekly allocation performance reviews with brand planning teams, covering service level, sales, GM$, GM%, GMROI, sell-through, and allocation accuracy.
    • Present KPI diagnostics with root-cause analysis: not just "what happened" but "why it happened" and "what we're doing about it."
    • Produce quarterly business reviews for executive leadership that synthesize allocation performance trends and strategic recommendations.
  • Diagnostic Analysis & Issue Identification
    • Leverage existing dashboards and alerting tools to monitor allocation outcomes across all brands at the store-SKU level.
    • Where tools are lacking, work with technical team to get the artifact built or enhanced.
    • Identify emerging issues before they become problems: sell-through falling behind pace, inventory building in the wrong stores, stockout patterns that signal a model or grading issue.
    • Decompose KPI misses into demand-side drivers (forecast accuracy, trend shifts) and supply-side drivers (misallocation, replenishment lag, pack constraints) to pinpoint actionable root causes.
    • Analyze outcomes across product lifecycle types (basics, seasonal basics, fashion) and tailor diagnostic frameworks to each.
  • Action & Accountability
    • Translate diagnostic findings into specific vendor improvement tickets with clear success criteria - push the vendor to improve their model where the data warrants it.
    • Define requirements for in-house diagnostic tools and work with the technical team to prioritize development.
    • Advise brand planning teams on allocation strategy decisions: store eligibility, DC holdback levels, size curve adjustments, replenishment throttling for end-of-season.
    • Own the vendor accountability framework: maintain the RACI, track vendor action rates, and escalate when commitments are not met.
  • Communication & Stakeholder Management
    • Operate on a proactive communication cadence: reach out to stakeholders with findings and recommendations, don't wait for them to ask.
    • Build trust as a fiduciary partner - the brands should believe you are watching their business and will advocate for their outcomes.
    • Manage the narrative during the transition from the prior consulting model: demonstrate early wins, set realistic expectations, and build confidence in the new capability.

Requirements
  • 10+ years of experience in strategy consulting role, preferably serving retail clients.
  • Deep understanding of fashion retail allocation and replenishment processes, including how strategies differ for basics, seasonal basics, and fashion/trend products.
  • Fluency in retail KPIs: service level, sell-through, WOS, GMROI, allocation accuracy, markdown rate, and how allocation decisions drive each.
  • Strong analytical intuition. You can look at a performance dashboard and quickly identify which numbers don't make sense and where to dig deeper.
  • Exceptional communication and executive presence: you are equally comfortable presenting to a VP of Merchandising and coaching a junior team member.
  • MBA or equivalent advanced degree, or equivalent depth of experience in strategy and analytics.

Preferred
  • Direct experience at a multi-brand fashion retailer (specialty, department store, or fast fashion).
  • Background that combines both operator experience (retailer-side) and advisory experience (consulting or vendor-side).
  • Familiarity with statistical concepts used in allocation diagnostics: forecast accuracy metrics (MAPE, bias), variance decomposition, demand signal analysis.
  • Experience building or managing a small team and working with contingent/contract technical resources.
  • Comfort with ambiguity and building a function from scratch - this is not a role where you inherit a playbook; you write the playbook.
  • Experience working with third-party allocation/planning vendors and managing vendor performance.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Apply