Mid Level Data Analytics Manager Jobs
Mid level data analytics manager jobs go to analysts ready to own reporting pipelines, guide junior team members, and translate data into decisions without constant oversight. Openings are concentrated in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with a strong mix of remote and hybrid roles, 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
- Apple25
- Deloitte23
- Riveron22
- Capital One16
- Raytheon15
Top Industries Hiring
- Technology & Software155
- Consulting & Professional Services104
- Banking & Financial Services99
- Investment & Asset Management59
- Healthcare & Medical Services53
Mid Level Data Analytics Manager Jobs: Frequently Asked Questions
How do I get a mid level data analytics manager job?
Position your existing work around ownership and impact, not just task completion. Highlight projects where you led analysis end to end, influenced a business decision, or improved a reporting process. Tailor your resume to show you can manage stakeholder expectations and communicate findings clearly. Employers at this level want evidence of initiative and cross-functional collaboration, so lead with outcomes over responsibilities.
Which companies hire mid level data analytics managers?
Companies hiring mid level data analytics managers right now include Apple, Deloitte, and Riveron, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers both large enterprises with dedicated analytics teams and mid-size companies building out their data functions for the first time.
Are there remote mid level data analytics manager jobs?
Yes, remote and hybrid options are common at this level. About 30% of mid level data analytics manager openings are remote or hybrid as of July 2026, reflecting how broadly data work has moved away from office-only settings. Fully on-site roles still exist, particularly in regulated industries where data governance requirements are stricter.
How do I move up to a mid level data analytics manager role?
The path from early-career to mid level is built on deepening your technical skills, taking ownership of complete projects, and demonstrating measurable business impact. Focus on becoming proficient with SQL, Python, or BI tools relevant to your industry, then seek out opportunities to lead a workstream or mentor a colleague. Consistent delivery on ambiguous problems signals readiness to step into a mid level scope.
Which industries hire the most mid level data analytics managers?
Mid Level data analytics manager 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, complex datasets that require analytics managers who can move beyond reporting and start shaping how data informs strategy.