Remote Decision Analytics Manager Jobs
Remote Decision Analytics Manager jobs are in steady demand across the U.S., with remote-first firms and distributed teams actively hiring for this role in sectors including financial services, healthcare, technology, and retail. Employers hiring remotely right now include ZS Associates, Deepgram, and Bollinger Shipyards. See the openings below and apply to the ones that match your experience.
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ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
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Insights & Analytics
What You’ll Do
- Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions.
- Work collaboratively with clients to ascertain the client’s specific business information needs.
- Execute a specific plan for analyzing the data necessary to secure solutions to clients’ particular business information need(s).
- Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis.
- Evaluate, assess and analyze the data necessary to provide solutions to the client’s particular business information needs.
- Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used.
- Gain immediate familiarity with client’s internal processes.
- Develop expertise within a client analytics area.
- Be available for clients during regular working hours.
What You’ll Bring
- MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute.
- Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA
- Pharmaceutical, biotechnology, or life sciences analytics experience is required.
- High motivation, good work ethic, maturity and personal initiative
- Aptitude for, and enjoyment of, leading and managing teams.
- Effective oral and written communication skills that enable personal impact with senior-level decision makers.
- Strong attention to detail, with a quality-focused mindset
- Analytic problem-solving skills, with a creative and innovative outlook
- Client service orientation
- Fluency in English
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
How you’ll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
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Who's Hiring



What Employers Look For
The qualifications that appear most often in remote decision analytics manager jobs.
- 5+ years of analytics experience with at least 2 years in a people manager or team lead role
- Proficiency in SQL and at least one statistical programming language such as Python or R
- Experience building or overseeing predictive models, decision trees, or optimization frameworks in a business context
- Ability to translate analytical outputs into executive-ready recommendations and business cases
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker for communicating insights
- Bachelor's degree in statistics, mathematics, economics, computer science, or a related quantitative field
Tips for Your Remote Decision Analytics Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote decision analytics manager openings from across the U.S. in one place. Search roles by function, find the ones that match your tools and industry background, and apply directly without sorting through non-remote listings.
Show async decision-making in your portfolio
Remote employers want proof you can frame a decision, gather input asynchronously, and communicate a recommendation in writing without a meeting. Document two or three past analyses as written case studies that show your reasoning process, not just the outcome.
Signal remote readiness in your work history
Explicitly note experience with distributed team workflows, async collaboration tools like Slack and Confluence, and cross-functional stakeholder alignment done through written memos or dashboards. Remote hiring managers screen for candidates who've already operated this way.
Prepare for remote-specific interview formats
Remote decision analytics manager interviews often include take-home case studies and async video responses in addition to live calls. Practice structuring a written recommendation under time pressure and presenting a data-backed decision clearly in a recorded format.
Remote Decision Analytics Manager Jobs: Frequently Asked Questions
How do I get a remote decision analytics manager job?
Target companies with established distributed analytics teams, particularly in financial services, insurance, healthcare technology, and e-commerce, where remote decision analytics roles are most common. Remote employers screen heavily for self-direction, structured async communication, and proficiency in tools like SQL, Python, and A/B testing frameworks. Candidates who can document past decisions they owned end-to-end and demonstrate clear written communication give themselves a measurable edge over equally qualified applicants.
Which companies hire remote decision analytics managers?
Companies hiring remote decision analytics managers right now include ZS Associates, Deepgram, and Bollinger Shipyards, based on current remote listings on Migrate Mate as of November 2026. Remote-first firms and large distributed teams in financial services, health tech, and SaaS are the most consistent sources of remote openings for this role.
Can you get a remote decision analytics manager job with no experience?
Yes, but remote entry-level decision analytics manager roles are harder to land because employers expect you to work independently from day one with minimal oversight. Health tech startups and growth-stage SaaS companies are more likely to hire less-experienced candidates into remote roles. A portfolio of analytics projects, demonstrated proficiency in SQL and experimentation tools, and strong written communication can substitute meaningfully for years of formal experience.
Do you need a degree for remote decision analytics manager jobs?
Not always. Many remote employers care more about demonstrated analytical output than the credential behind it. A bachelor's degree in a quantitative field is common among candidates, but remote hiring teams frequently weigh a portfolio of past decisions, measurable business impact, and hands-on tool proficiency alongside or instead of formal education, especially at tech-forward companies with skills-based hiring practices.
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