Mid Level Data Analytics Specialist Jobs
Mid level data analytics specialist jobs go to analysts ready to own projects end to end, translate complex data into business decisions, and guide junior teammates without heavy oversight. Roles are concentrated in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with a mix of on-site, remote, and hybrid settings, and 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 Services53
- Electronics & Hardware45
- Banking & Financial Services43
- Investment & Asset Management39
Mid Level Data Analytics Specialist Jobs: Frequently Asked Questions
How do I get a mid level data analytics specialist job?
Position your existing experience around ownership, not just execution. Highlight projects where you drove the analysis from question to recommendation, tools you used independently, and decisions your work directly influenced. Tailor your resume to show scope, not just tasks, and be ready to discuss trade-offs you navigated and stakeholders you communicated findings to.
Which companies hire mid level data analytics specialists?
Companies hiring mid level data analytics specialists right now include Apple, Deloitte, and Riveron, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large enterprises with dedicated analytics teams, mid-size companies building out their data functions, and consulting firms staffing client-facing analyst roles.
Are there remote mid level data analytics specialist jobs?
Yes, remote and hybrid availability is strong at this level. About 21% of mid level data analytics specialist openings are remote or hybrid as of July 2026, reflecting how widely analytics work can be done independently of a physical office. Fully on-site roles tend to cluster in industries like finance and healthcare where data governance is tighter.
How do I move up to a mid level data analytics specialist role?
Mid level readiness comes from building depth over your early years: mastering core tools like SQL and Python, taking ownership of full analytical projects rather than single tasks, and generating insights that visibly changed a business outcome. Demonstrating that you can communicate findings to non-technical stakeholders and manage your own workload without daily direction is what distinguishes mid level candidates from entry level ones.
Which industries hire the most mid level data analytics specialists?
Mid Level data analytics specialist roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of July 2026. These sectors generate large volumes of structured and unstructured data and rely on mid level analysts to turn that data into operational decisions without requiring constant senior oversight.