Mid Level Data Analytics Engineer Jobs
Mid level data analytics engineer jobs go to engineers ready to own data pipelines and reporting systems end to end, mentor junior teammates, and translate complex findings into decisions with limited oversight. Roles cover on-site, hybrid, and remote settings across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with employers like Apple, Deloitte, and Riveron hiring at this level now.
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OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology’s mission and vision.
Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.
Job Description:
Role Summary:
The Sr. Manager, Analytics & Data Products will report to OneOncology’s Senior Director, Analytics & Data Products. This role will lead the delivery of analytics projects and tools to support the operations of our partner practices, with a focus on urology. This role will design, build, and deploy analyses and data products to measure practice performance and support operational and financial improvement. By understanding business goals and leveraging practice data, this role will serve as an analytical thought partner for members of OneOncology’s operations and finance teams, advising on and leading the development of key metrics, analytical tools, and data products that support practice operations.
Responsibilities:
Understand business priorities and collaborate with colleagues across the operations and finance teams to identify how data and analytics can be used to support ongoing initiatives
Design, build, and implement analytical tools and data products that successfully measure practice performance and facilitate workflows to enable improvement in key metrics
Complete complex analyses and communicate key findings and insights to key stakeholders.
Serve as analytical thought partner and go-to resource for members of the operations and finance teams on a day-to-day basis
Collaborate with the engineering team to facilitate the successful integration of new data sets (EMR data, billing data, lab system data, etc.) into OneOncology’s data model
Lead and develop a high-performing team of analysts (1-4 direct reports) to deliver on analytics projects
Additional responsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer.
Required Qualifications:
Bachelor’s degree or equivalent work experience in a related field.
5+ years’ work experience; experience working in the healthcare industry, e.g. at a health insurer, healthcare provider organization, consulting firm, or other relevant organization
Experience working with large healthcare datasets and applying analytics to business strategy
Essential Competencies:
Ability to analyze data, interpret outputs, understand significance, and communicate findings to colleagues and practice leaders
Proven success in scoping and completing cross-functional projects in a matrixed organization
Effective problem-solving and communication skills, with an ability to find pragmatic solutions
Working knowledge of the healthcare industry and related data, including EMR and billing data
Demonstrated proficiency in SQL, Excel, PowerPoint, and PowerBI (or other visualization tools)
Proven ability to lead and support team members by fostering an inclusive environment and promoting a culture of collaboration.
Attendance is an essential job function.
This job description does not contain a full listing of activities, duties or responsibilities required of this role. Duties, responsibilities and activities may change, or new ones may be assigned at any time with or without notice.
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Who's Hiring
- Apple27
- Deloitte20
- Riveron19
- Raytheon12
- Capital One9
Top Industries Hiring
- Technology & Software57
- Consulting & Professional Services52
- Electronics & Hardware45
- Banking & Financial Services43
- Investment & Asset Management39
Mid Level Data Analytics Engineer Jobs: Frequently Asked Questions
How do I get a mid level data analytics engineer job?
Position yourself around ownership, not just contribution. Highlight projects where you defined the approach, resolved ambiguity, and delivered a result stakeholders acted on. Show proficiency in SQL, a cloud data platform, and at least one BI or transformation tool. Applications that demonstrate you can work independently and communicate findings to non-technical audiences stand out at this level.
Which companies hire mid level data analytics engineers?
Companies hiring mid level data analytics engineers right now include Apple, Deloitte, and Riveron, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of employers, including technology firms, retailers, financial services companies, and healthcare organizations that depend on data-driven decision making.
Are there remote mid level data analytics engineer jobs?
Yes, remote options are common at this experience level. About 20% of mid level data analytics engineer openings are remote or hybrid as of July 2026, reflecting how broadly distributed data teams have become. Fully on-site roles still exist, particularly at companies with strict data governance requirements or collaborative engineering cultures.
How do I move up to a mid level data analytics engineer role?
The path from entry level to mid level is built on depth and demonstrated ownership over time. Early-career engineers grow into mid level by mastering core tooling, taking on complete project cycles rather than isolated tasks, and showing measurable impact through their work. Documenting outcomes, seeking feedback, and progressively reducing reliance on senior guidance signals readiness for promotion or a lateral move up.
Which industries hire the most mid level data analytics engineers?
Mid Level data analytics engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of July 2026. These sectors drive high demand at this experience level because they combine large data volumes with a need for engineers who can operate independently and turn raw data into reliable, decision-ready outputs.