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Operations Analytics Manager Jobs in Chelsea, MA

Philips

Advanced Analytics Manager

Cambridge, MA · On-site

$131K - $209K/yr

Job TitleAdvanced Analytics Manager Advanced Analytics Manager Our Advanced Analytics Manager will ... Partner cross-functionally with Sales, Finance, Operations, and IT to align analytics initiatives ...

Philips

Advanced Analytics Manager

Cambridge, MA · On-site

$131K - $209K/yr

Job Title Advanced Analytics Manager Advanced Analytics Manager Our Advanced Analytics Manager will ... Partner cross-functionally with Sales, Finance, Operations, and IT to align analytics initiatives ...

Staples, Inc.

Sales Analytics Manager

Framingham, MA · On-site +1

As a Sales Analytics Manager, you will own the analytical foundation supporting the Low Touch Small ... This role is critical in ensuring that strategic and operational decisions are rooted in data ...

Staples, Inc.

Sales Analytics Manager

Framingham, MA · On-site

As a Sales Analytics Manager, you will own the analytical foundation supporting the Low Touch Small ... This role is critical in ensuring that strategic and operational decisions are rooted in data ...

Lytx

Revenue Analytics Manager

Framingham, MA · On-site

$136K - $172K/yr

Revenue Analytics Manager The Revenue Analytics Manager delivers the data, analytics, and insights ... Design and own executive Tableau dashboards covering revenue, retention, and operational ...

Lytx

Revenue Analytics Manager

Framingham, MA · On-site

$136K - $172K/yr

Revenue AnalyticsManager The Revenue Analytics Manager delivers the data, analytics, and insights ... Design and own executive Tableau dashboards covering revenue, retention, and operational ...

Teikametrics

Manager, Demand Generation

Boston, MA · On-site +1

You'll report to the VP of Marketing and work in close partnership with the Marketing Operations & Analytics Manager (GTM Ops team) to ensure every campaign is properly tracked, attributed, and ...

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Showing results 1-20

All JobsOperations Analytics Manager JobsOperations Analytics Manager Jobs in Chelsea, MA

Operations Analytics Manager information

See Chelsea, MA salary details

$33.7K

$69K

$128.8K

How much do operations analytics manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for operations analytics manager in Chelsea, MA is $68,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $84,200.00 per year, depending on experience, location, and employer.

How does an Operations Analytics Manager typically collaborate with cross-functional teams in a company?

Operations Analytics Managers frequently work with departments such as finance, supply chain, IT, and customer service to identify inefficiencies and recommend data-driven improvements. They act as a bridge between technical analysts and business stakeholders, translating analytical findings into actionable strategies. Regular meetings, project updates, and collaborative workshops are common, ensuring alignment on objectives and progress. This role requires strong communication skills and the ability to tailor complex data insights to diverse audiences.

What is the difference between Operations Analytics Manager vs Data Analyst?

AspectOperations Analytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related field; often prefers experience in operationsBachelor's in Statistics, Mathematics, or related field; certifications like SQL or Tableau are common
Work EnvironmentLeads teams in operational settings, collaborates with management, focuses on process improvementAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in logistics, manufacturing, retail, and supply chain companiesCommon across finance, marketing, healthcare, and tech industries

The Operations Analytics Manager focuses on leading teams to optimize operational processes using analytics, while Data Analysts primarily interpret data to support decision-making. Both roles require strong analytical skills, but the manager role involves leadership and strategic planning in operational contexts.

What are the key skills and qualifications needed to thrive as an Operations Analytics Manager, and why are they important?

To thrive as an Operations Analytics Manager, you need strong analytical skills, business acumen, and experience with data modeling, often supported by a degree in business, statistics, or a related field. Familiarity with analytics platforms like SQL, Tableau, Python, and experience in ERP or CRM systems is typically required. Exceptional problem-solving, communication, and leadership skills help you translate data insights into actionable strategies and lead cross-functional teams. These skills are vital to drive data-informed decision-making and optimize operational efficiency within an organization.

What does an Operations Analytics Manager do?

An Operations Analytics Manager is responsible for analyzing and interpreting data to improve the efficiency and effectiveness of a company's operations. They use various analytics tools and methodologies to identify trends, optimize processes, and support decision-making. Their work often involves collaborating with different departments to implement data-driven solutions that can reduce costs, increase productivity, and enhance overall business performance.
What cities near Chelsea, MA are hiring for Operations Analytics Manager jobs? Cities near Chelsea, MA with the most Operations Analytics Manager job openings:
Operations Analytics Manager jobs near you
Infographic showing various Operations Analytics Manager job openings in Chelsea, MA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,953 per year, or $33.2 per hour.

Business Operations & Analytics Manager

B/SPOKE Studios

Boston, MA

Full-time

Posted 16 days ago

Job description

What this role is

The Business Operations & Analytics Manager will build the scheduling infrastructure and analytics capability that enables us to optimize hundreds of weekly classes across multiple locations-balancing utilization, revenue, client satisfaction, and instructor performance at scale.

This is a build role for someone who has seen sophisticated scheduling operations but hasn't owned building them from the ground up. You'll design the data models, processes, reporting frameworks, and decision-making cadences that turn scheduling from reactive to strategic. You'll lead this area of the business with autonomy, translating business needs into scalable systems while partnering cross-functionally to deliver the best client experience.

You sit at the intersection of data, operations, and performance management-designing how we use insights to drive action, not just report on what happened.

What this role is not: front-line scheduling (you won't manage daily swaps or coverage) or creative programming.

What you'll build

Scheduling infrastructure & systems

  • Design and implement a repeatable schedule optimization process: the data inputs, analysis frameworks, decision criteria, and operating rhythms that drive ongoing improvements across studios
  • Build the methodology for new studio launch scheduling (demand forecasting models, ramp plans, initial class mix strategy, iteration frameworks)
  • Create instructor assignment frameworks that balance consistency, variety, performance, and member experience-then build the process to execute and refine it
  • Establish change management protocols: how often we adjust schedules, how we communicate changes, how we test and learn

Analytics capability (from messy to actionable)

  • Build lightweight but scalable reporting infrastructure using reservation system data (reports/exports to Excel; BI/API where helpful) and other internal sources
  • Design and maintain analytical models/dashboards that track:
    • Class fill rates, utilization trends, and capacity optimization
    • Revenue per class, time block performance, and yield metrics
    • Instructor scorecards (cNPS, rebooking rates, retention signals, consistency metrics)
    • Client behavior patterns by time, format, studio, instructor, and seasonality
  • Define the metrics that matter, identify data gaps, improve measurement definitions, and recommend better instrumentation as we scale
  • Performance benchmarks per class by studio, breakeven benchmarks per class by studio

Decision-making frameworks

  • Translate data into clear, actionable recommendations with tradeoffs articulated for leadership
  • Design testing protocols for schedule experiments (time-slot changes, instructor shifts, format mix adjustments) with clear success metrics
  • Build documentation and operating rhythms so institutional knowledge doesn't live in one person's head
  • Create the frameworks that enable studio managers to make good local decisions within a broader system

Project leadership

  • Own this functional area end-to-end: set priorities, manage timelines, identify dependencies, communicate progress
  • Partner cross-functionally (studio operations, instructor management, marketing, finance) to ensure scheduling strategy supports broader business goals
  • Scale your own work: build processes that can grow with the business and eventually support a team

What success looks like in 12 months:

  • Improvement in average class utilization
  • Reduced schedule volatility
  • Established standardized launch playbook used across all new studios
  • Instructor scorecards adopted company-wide
  • Studio managers independently using decision frameworks
Experience QualificationsMust-Haves
  • SQL proficiency
  • Excel modeling at advanced level
  • Experience with capacity optimization / yield management
  • Experience in multi-location businesses
  • Experience in services, fitness, hospitality, education, etc.
Nice-to-Haves
  • Experience with Mindbody / Mariana Tek / similar reservation systems
  • Experience building BI dashboards
  • Demand forecasting experience
  • Testing/experimentation frameworks
Employment Type: FULL_TIME

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