Entry Level Analytics Engineer Jobs
New grad analytics engineer 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 on-site, remote, and hybrid roles across Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with employers like ZS Associates, Walmart, and Amazon hiring at this level now.
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Job Details
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Auto Physical Damage Claims Performance Analytics team is seeking a Senior Performance Analytics Consultant to help evaluate operational and financial performance, identify emerging trends, and deliver insights that support confident business decisions. This role partners closely with Claims leaders, Performance Analytics teammates, Transformation and Optimization, Data Science, Product, Actuarial and segment leaders to connect data and business context.
This consultant will transform complex claims data into actionable insights, develop reporting and self-service analytics, helping leaders clearly see trends and understand the “why” behind them. The ideal candidate brings strong analytical skill, business curiosity, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences. Success in this role requires analytical ownership, thoughtful problem framing, disciplined validation, and the ability to influence through evidence-based recommendations.
Key Responsibilities
Analyze Auto Physical Damage Claims results to identify trends, outliers, root causes, risks, and opportunities across operational and financial performance.
Partner with leaders and stakeholders to clarify business questions, define KPIs, prioritize analytics opportunities, and translate customer needs into actionable requirements.
Develop dashboards, scorecards, reporting exhibits, and self-service analytics that support performance management, risk detection, and executive decision-making.
Use structured analytical thinking, hypothesis-driven analysis, and appropriate statistical methods to evaluate trends movement, support hypotheses and recommendations.
Connect claims results with broader business, operational, industry, market, and macro trends to help leaders understand context.
Present complex findings clearly to non-technical and executive audiences, using strong data storytelling, visual design judgment, and business-friendly language.
Collaborate with data engineering and analytics partners to improve data accessibility, quality, governance, and repeatability of reporting solutions.
Lead work independently without formal authority, manage multiple priorities, and help partners move from insight to action.
Qualifications
Bachelor’s degree preferred; experience in data analytics, performance analytics, business intelligence, or operational analytics preferred.
Degree in business Analytics, Statistics, Mathematics, or related field experience is a plus.
Experience in claims or insurance preferred; Auto Claims experience is a plus.
Demonstrated ability to extract, clean, integrate, analyze, and validate data from multiple sources, including large datasets.
Strong familiarity with analytics and visualization tools such as Snowflake, SQL, Tableau, Excel, ThoughtSpot, Power BI, Python, or similar tools.
Strong reporting and KPI design skills, including the ability to define, visualize, and explain metrics aligned to strategic goals.
Ability to frame business problems, question assumptions, evaluate evidence, and generate data-backed insights that are accurate, decision-ready, and grounded in business context.
Strong communication and storytelling skills, with the ability to tailor insights for executive, technical, and operational audiences.
Proven ability to build partnerships, influence without formal authority, and collaborate across Claims, Product, Actuarial, Operations, Data Science, or Transformation teams.
Comfort working in ambiguity, managing multiple priorities, and adapting as business needs, tools, and processes evolve.
Understanding of Agile is a plus.
Preferred Future-Ready Skills
Experience using advanced analytics, automation, or AI-enabled tools to improve speed, consistency, or quality of analytics work.
Comfort reviewing and validating AI-assisted outputs, including checking for accuracy, completeness, assumptions, and business relevance.
Ability to use prompts, natural language interfaces, or AI-supported workflows to accelerate analysis, reporting, or storytelling while maintaining human oversight.
Interest in helping shape repeatable, governed analytics processes as tools and workflows continue to evolve.
Work Arrangements
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, San Antonio, TX, Lake Mary, FL, Phoenix, AZ, Naperville, IL) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.
Claims Performance Analytics Strategic Direction
Leverage technology, advanced analytics, and seamless collaboration to deliver timely, deep insights that help partners confidently navigate Claims and market changes.
Key Characteristics for Success
Trustworthy: Demonstrates authenticity, openness, integrity, and disciplined validation in analytics work.
Partnership Centric: Builds strong relationships, listens actively, understands stakeholder needs, and aligns insights to shared goals.
Value Oriented: Focuses on business outcomes, prioritizes high-value questions, and translates analysis into action.
Sought-After Expert: Brings curiosity, continuous learning, domain understanding, and sound judgment to complex analytical questions.
Adaptable: Embraces evolving tools, workflows, and expectations while maintaining quality, accuracy, and accountability.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$94,000 - $141,000Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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Find JobsEntry Level Analytics Engineer Job Market
Who's Hiring
- ZS Associates12
- Walmart10
- Amazon10
- Amazon Web Services8
- ZS6

Top Industries Hiring
- Technology & Software45
- Consulting & Professional Services37
- Banking & Financial Services36
- Retail33
- Education25
Entry Level Analytics Engineer Jobs: Frequently Asked Questions
How do I get an entry level analytics engineer job?
Employers hiring at the entry level look for hands-on fluency with SQL, a modern data warehouse like Snowflake or BigQuery, and at least one data transformation tool such as dbt. A portfolio with a documented end-to-end pipeline project demonstrates practical ability when your work history is limited. Internship experience, a capstone project, or a public GitHub repository all give hiring managers something concrete to evaluate.
Which companies hire entry level analytics engineers?
Companies hiring entry level analytics engineers right now include ZS Associates, Walmart, and Amazon, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of employers, including high-growth startups building their first data stack and established enterprises expanding analytics teams with junior talent.
Are there remote entry level analytics engineer jobs?
Yes, though the share varies by industry and team size. About 40% of entry level analytics engineer openings are remote or hybrid as of July 2026, making this one of the more flexible technical roles for candidates who are not located near a major tech hub. Hybrid roles are common at larger companies, while fully remote positions appear more frequently at distributed-first organizations.
Are these new grad analytics engineer jobs?
Yes, the listings on this page include new grad, recent graduate, and junior analytics engineer roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship work or academic projects as qualifying experience, or specifically invites candidates with a portfolio in place of a long work history. If you are searching as a new grad, look for those signals in the job description.
Which industries hire the most entry level analytics engineers?
Entry Level analytics engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors generate large volumes of structured data and rely on analytics engineering to keep pipelines clean and reporting consistent, which creates steady demand for junior candidates who can contribute quickly.