Entry Level Data Analytics Specialist Jobs
New grad data analytics specialist jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can matter more than a long 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 Specialist 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 Specialist Jobs: Frequently Asked Questions
How do I get an entry level data analytics specialist job?
Entry level data analytics specialist roles reward candidates who can show work, not just credentials. Build a portfolio with two or three projects using real datasets, tools like SQL, Python, or Tableau, and clear write-ups of your findings. Internship experience, bootcamp certificates, and coursework projects all count at this stage. Tailor your resume to each posting and highlight any hands-on analysis you have completed, even from academic settings.
Which companies hire entry level data analytics specialists?
Companies hiring entry level data analytics specialists 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 covers startups building out their first data functions, mid-size companies adding analytical capacity, and large enterprises with structured new-grad or rotational programs.
Are there remote entry level data analytics specialist jobs?
Yes, though on-site and hybrid roles remain common at the entry level. About 75% of entry level data analytics specialist openings are remote or hybrid as of November 2026, so candidates can find flexible arrangements alongside in-office positions. Filtering by work setting on Migrate Mate lets you quickly focus on the format that fits your situation.
Are these new grad data analytics specialist jobs?
Yes. The listings here include new grad, recent graduate, and junior data analytics specialist roles alongside other entry level openings. A new-grad-friendly posting typically welcomes zero to two years of experience, accepts internship work or academic projects as qualifying experience, and does not require prior full-time employment. If a posting asks for a portfolio or mentions training programs, it is usually open to new grads.
Which industries hire the most entry level data analytics specialists?
Entry Level data analytics specialist roles concentrate in Technology & Software, Energy, and Education, based on current listings on Migrate Mate as of November 2026. These sectors generate large volumes of structured data and rely on entry level analysts to clean, organize, and surface insights that support faster business decisions.