Entry Level Data Analytics Lead Jobs
New grad data analytics lead jobs are open to recent graduates and entry level candidates with little to no experience, where a strong portfolio or internship work can carry more weight than years on a resume. Most openings are a mix of on-site, remote, and hybrid roles across Technology & Software, Energy, and Education, with employers like Energy Transfer, 4P Consulting, and JBS INTERNATIONAL hiring at this level now.
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Showing 5 of 18+ Entry Level Data Analytics Lead jobs
INTRODUCTION
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
ROLE AND RESPONSIBILITIES
The Data & Analytics Product Owner, Senior Associate supports agile development teams in delivering data products that drive business value. This role works closely with solution managers, product managers to translate business needs into data solutions. At the Senior Associate level, Data & Analytics Product Owners are expected to understand business processes, transactional systems, and data in their focused domain.
Responsibilities
Product Vision & Strategy
- Supports business leaders in identifying opportunities for data-driven solutions
- Contributes to product roadmap development for data and analytics initiatives
- Assists in translating business goals into product requirements, features, and user stories
- Prioritizes backlog items under guidance of a solution manager, in coordination with other product owners, product managers, and stakeholders
Agile Team Leadership
- Participates as Product Owner for agile development teams or specific product features
- Supports backlog refinement, sprint planning, and story elaboration sessions
- Actively participates in daily stand-ups, sprint reviews, and retrospectives
- Provides input on scope and priorities to support team velocity and value delivery
- Works with Scrum Master and RTEs to address team needs
Stakeholder Management
- Supports communication between business stakeholders and development teams
- Participates in stakeholder meetings to gather requirements and provide updates
- Helps facilitate alignment between technical capabilities and business needs
- Assists in defining acceptance criteria for deliverables
Data Product Development
- Leads the development of analytics solutions including BI products, data science, and AI-integrated data solutions
- Reviews data products to ensure they meet quality standards and business requirements
- Collaborates with data engineers and architects on data modeling and technical design
- Applies best practices in data visualization, user experience, and analytics
Quality & Delivery
- Helps define acceptance criteria for features, including data quality rules
- Participates in reviewing completed work to ensure alignment with requirements
- Tracks product performance metrics and user adoption
- Contributes to continuous improvement initiatives in product features and team processes
BASIC QUALIFICATIONS
Required
- 2-4 years of experience in product ownership, business analysis, or related role in data/analytics domains
- Exposure to Agile/Scrum methodologies and delivery practices
- Basic understanding of data engineering principles, data warehousing, or ETL processes
- Familiarity with BI and analytics platforms (Databricks, Tableau, Power BI, Looker, or similar)
- Understanding of data modeling or database design concepts
- Good communication and stakeholder engagement skills
- Ability to learn technical concepts and communicate them to different audiences
- Experience or willingness to learn user story writing, acceptance criteria, and backlog management
PREFERRED QUALIFICATIONS
- Certified Scrum Product Owner (CSPO), CSM, or similar agile certification
- Exposure to cloud data platforms (AWS, Azure, GCP)
- Interest in data visualization design principles
COMPENSATION
- The estimated base salary for this job is $100,000 - $135,000 USD. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $115,000 - $155,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
POSITION LEVEL
Senior Associate
COUNTRY
United States of America
INTRODUCTION
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
ROLE AND RESPONSIBILITIES
The Data & Analytics Product Owner, Senior Associate supports agile development teams in delivering data products that drive business value. This role works closely with solution managers, product managers to translate business needs into data solutions. At the Senior Associate level, Data & Analytics Product Owners are expected to understand business processes, transactional systems, and data in their focused domain.
Responsibilities
Product Vision & Strategy
- Supports business leaders in identifying opportunities for data-driven solutions
- Contributes to product roadmap development for data and analytics initiatives
- Assists in translating business goals into product requirements, features, and user stories
- Prioritizes backlog items under guidance of a solution manager, in coordination with other product owners, product managers, and stakeholders
Agile Team Leadership
- Participates as Product Owner for agile development teams or specific product features
- Supports backlog refinement, sprint planning, and story elaboration sessions
- Actively participates in daily stand-ups, sprint reviews, and retrospectives
- Provides input on scope and priorities to support team velocity and value delivery
- Works with Scrum Master and RTEs to address team needs
Stakeholder Management
- Supports communication between business stakeholders and development teams
- Participates in stakeholder meetings to gather requirements and provide updates
- Helps facilitate alignment between technical capabilities and business needs
- Assists in defining acceptance criteria for deliverables
Data Product Development
- Leads the development of analytics solutions including BI products, data science, and AI-integrated data solutions
- Reviews data products to ensure they meet quality standards and business requirements
- Collaborates with data engineers and architects on data modeling and technical design
- Applies best practices in data visualization, user experience, and analytics
Quality & Delivery
- Helps define acceptance criteria for features, including data quality rules
- Participates in reviewing completed work to ensure alignment with requirements
- Tracks product performance metrics and user adoption
- Contributes to continuous improvement initiatives in product features and team processes
BASIC QUALIFICATIONS
Required
- 2-4 years of experience in product ownership, business analysis, or related role in data/analytics domains
- Exposure to Agile/Scrum methodologies and delivery practices
- Basic understanding of data engineering principles, data warehousing, or ETL processes
- Familiarity with BI and analytics platforms (Databricks, Tableau, Power BI, Looker, or similar)
- Understanding of data modeling or database design concepts
- Good communication and stakeholder engagement skills
- Ability to learn technical concepts and communicate them to different audiences
- Experience or willingness to learn user story writing, acceptance criteria, and backlog management
PREFERRED QUALIFICATIONS
- Certified Scrum Product Owner (CSPO), CSM, or similar agile certification
- Exposure to cloud data platforms (AWS, Azure, GCP)
- Interest in data visualization design principles
COMPENSATION
- The estimated base salary for this job is $100,000 - $135,000 USD. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $115,000 - $155,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
POSITION LEVEL
Senior Associate
COUNTRY
United States of America
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Top Industries Hiring
- Technology & Software
- Energy
- Education
- Consulting & Professional Services
- Retail
Entry Level Data Analytics Lead Jobs: Frequently Asked Questions
How do I get an entry level data analytics lead job?
Employers hiring at the entry level typically look for hands-on experience with data tools like SQL, Python, or Tableau, even from coursework, bootcamps, or personal projects. A portfolio that shows you can clean data, build dashboards, or surface insights gives you a concrete edge over candidates who list only classroom credits. Applying to roles that explicitly welcome zero to two years of experience keeps the search realistic and productive.
Which companies hire entry level data analytics leads?
Companies hiring entry level data analytics leads right now include Energy Transfer, 4P Consulting, and JBS INTERNATIONAL, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from a mix of fast-growing startups building out analytics functions for the first time and larger organizations with structured new grad programs.
Are there remote entry level data analytics lead jobs?
Yes, though the split varies by industry. About 75% of entry level data analytics lead openings are remote or hybrid as of November 2026, which gives candidates flexibility in where they apply. On-site roles still make up a meaningful share, particularly at companies that prefer new hires to collaborate in person during their first year.
Are these new grad data analytics lead jobs?
Yes, many of these listings are new grad and junior roles that welcome recent graduates with little or no professional experience. A posting is typically new-grad friendly when it lists zero to two years of experience as the requirement, accepts internships or academic projects as qualifying experience, or calls out a portfolio in place of a work history. If a role says junior or associate, it is worth applying even without a full resume of past positions.
Which industries hire the most entry level data analytics leads?
Entry Level data analytics lead roles concentrate in Technology & Software, Energy, and Education, based on current listings on Migrate Mate as of November 2026. Those sectors tend to generate large volumes of data that need structured analysis, which creates consistent demand for junior analytics talent even at the lead level of entry-stage teams.