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Senior Analytics Manager Jobs (NOW HIRING)

Autodesk

Job Requisition ID # 26WD99697 Position Overview We are seeking a Senior Business Analytics Manager to supportGo-to-Market Finance organizationby driving data-informed strategy, building scalable ...

Justworks

Senior Analytics Engineer

New York, NY · On-site

As a Senior Analytics Engineer, you will be a key contributor in helping the organization derive ... Apply effective data testing and sensitive data management strategies to ensure the quality and ...

CEDENT

Sr Analytics Developer

$40 - $60/hr

... to manager regarding solution delivery. • Stay current on new and emerging technologies, trends and tools affecting Data Analytics and Insights development. • Other duties as assigned . Remote ...

HDR

Senior Analytics Engineer

Omaha, NE · On-site

In the role of Senior Analytics Engineer, you will lead the design of complex analytics domains ... management. Company : HDR is an employee-owned design firm specializing in engineering ...

Premier Health

SR ANALYTICS DEVELOPER

Dayton, OH · On-site

$53 - $70/hr

The Senior Analytics Developer is a high-level staff member, delivering solutions, as well as ... Provides project management on medium to large analytics projects. 8. Meets all project deadlines ...

Justworks

Senior Analytics Engineer

New York, NY · On-site

As a Senior Analytics Engineer, you will be a key contributor in helping the organization derive ... Apply effective data testing and sensitive data management strategies to ensure the quality and ...

JLL

Senior Analytics Specialist

Atlanta, GA · Remote

Senior Analytics Specialist About the Role Lead complex analytics initiatives that drive strategic ... Strong stakeholder management skills with proven ability to translate technical concepts for ...

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Senior Analytics Manager information

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$45K

$114.5K

$168.5K

How much do senior analytics manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for senior analytics manager in the United States is $114,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $135,000.00 per year, depending on experience, location, and employer.

What does a Senior Analytics Manager do?

A Senior Analytics Manager leads a team of analysts to interpret data, develop insights, and inform business strategy. They are responsible for overseeing data collection, ensuring data quality, and presenting actionable findings to stakeholders. In addition, they often collaborate cross-functionally with other departments to support decision-making and optimize business processes. Senior Analytics Managers also play a major role in mentoring team members and implementing best practices in data analysis.

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

To thrive as a Senior Analytics Manager, you need advanced analytical skills, a solid background in statistics or data science, and experience leading analytics projects, often supported by a relevant degree. Proficiency in tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI, as well as certifications in analytics or data management, is highly valued. Exceptional leadership, communication, and problem-solving abilities help drive team performance and translate data insights into business strategy. These competencies are crucial for delivering actionable insights, influencing decision-making, and ensuring data-driven success across the organization.

What are the main challenges Senior Analytics Managers face when leading cross-functional analytics projects?

Senior Analytics Managers often encounter challenges such as aligning stakeholders from different departments, managing competing priorities, and ensuring data consistency across sources. Effective communication is essential to translate complex analytical insights into actionable strategies that resonate with both technical and non-technical team members. Additionally, they must balance hands-on analytical work with mentoring junior analysts and driving project delivery to meet organizational goals.

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

AspectSenior Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Analytics, Statistics, or related field; experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageCommon in corporate, finance, tech sectors for strategic insightsUsed across various industries for data interpretation and reporting

The Senior Analytics Manager typically oversees analytics teams, manages strategic projects, and interacts with leadership, requiring more experience and leadership skills. Data Analysts focus on data collection, analysis, and reporting, often supporting Senior Managers. The roles differ mainly in scope, responsibility, and seniority, but both require strong analytical skills and relevant credentials.

More about Senior Analytics Manager jobs
What cities are hiring for Senior Analytics Manager jobs? Cities with the most Senior Analytics Manager job openings:
What are the most commonly searched types of Senior Analytics jobs? The most popular types of Senior Analytics jobs are:
What states have the most Senior Analytics Manager jobs? States with the most job openings for Senior Analytics Manager jobs include:
What job categories do people searching Senior Analytics Manager jobs look for? The top searched job categories for Senior Analytics Manager jobs are:
Senior Analytics Manager jobs near you
Infographic showing various Senior Analytics Manager job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $114,472 per year, or $55 per hour.
Senior Business Analytics Manager

Senior Business Analytics Manager

Autodesk, Inc.

San Francisco, CA • On-site

Full-time

Posted 14 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies

Job description

Job Requisition ID #
26WD99697
Position Overview
We are seeking a Senior Business Analytics Manager to support Go-to-Market Finance organization by driving data-informed strategy, building scalable analytics solutions and AI-enabled workflows that improve planning, forecasting and reporting. This role will play a critical part in accelerating time to insights, reducing manual work, and shaping how Finance uses data, automation, and AI to make better business decisions.
As a manager in the Business Analytics function, you will lead a team responsible for complex, cross-functional initiatives across Finance, Sales, Data Engineering, and business operations. You will translate ambiguous business problems into structured analytical frameworks, scalable data products, and practical AI-enabled solutions that improve decision quality and operational efficiency.
The ideal candidate can operate at both the strategic and executional level: partnering with senior stakeholders to define the right business problems, while also being hands-on enough to query data, prototype solutions, pressure-test metrics, and partner with technical teams to scale durable products. This is a senior individual contributor role that requires strong business judgment, technical depth, product thinking, and the ability to influence and scale solutions across teams.
Responsibilities
  • Lead end-to-end analytics and AI-enabled workflow initiatives, from problem framing and stakeholder alignment to solution design, insight generation, adoption, and measurable business impact
  • Partner closely with Finance stakeholders to understand planning, forecasting and reporting workflows, and identify opportunities to improve them through data, automation, and AI
  • Translate ambiguous Finance and business challenges into structured analytical frameworks, including data modeling, KPI design, forecasting, experimentation, and decision-support workflows
  • Design and build scalable data products, including pipelines, tables, dashboards, reporting layers, and AI-ready datasets that enable automated, flexible, and action-oriented Finance analytics
  • Build and test prototypes for AI-enabled Finance workflows, such as automated business review narratives, anomaly detection, variance explanation, forecast drivers, natural-language insight discovery, and self-service reporting
  • Partner with Data Engineering, Finance Systems and central data teams to move prototypes into reliable, governed, production-ready solutions
  • Define and standardize KPI frameworks for financial metrics ensuring alignment across Finance and business teams
  • Design and scale dashboards, reporting solutions, and self-service analytics experiences that improve adoption, reduce manual reporting, and help business partners make faster, more consistent decisions
  • Analyze business and financial metrics to uncover key drivers of growth, retention, churn, productivity, and efficiency, and recommend clear data-backed actions
  • Establish scalable, repeatable analytics frameworks and best practices that improve Finance decision-making and create consistency across planning, forecasting, reporting, and business reviews
  • Apply strong governance, quality control, and documentation practices to ensure AI-enabled workflows are accurate, explainable, secure, and appropriate for Finance decision support
  • Communicate insights, recommendations, and roadmap tradeoffs to senior leadership through clear storytelling, executive-ready presentations, and concise written narratives
  • Manage, coach, and develop analysts and contribute to raising the overall analytical, technical, and AI-readiness capabilities of the Business Analytics team

Minimum Qualifications
  • Bachelor's degree or higher in a quantitative field
  • 8-10+ years of experience in analytical fields such as consulting, strategic finance, BizOps, data science, business intelligence, data engineering
  • Advanced SQL skills with the ability to work with large, complex datasets and multiple data sources
  • Strong experience with BI and visualization tools such as Power BI, or similar platforms
  • Experience partnering with Finance, GTM, or business leadership teams to support planning, forecasting, reporting, and performance management
  • Demonstrated ability to structure ambiguous problems, perform deep analysis, and translate findings into clear business impact
  • Experience designing scalable dashboards, reporting solutions, data models, or analytics products that improve self-service and reduce manual work
  • Strong stakeholder management skills, with experience influencing senior business partners and driving alignment across cross-functional teams
  • Excellent communication skills, with the ability to distill complex analysis, technical concepts, and business tradeoffs into clear, actionable recommendations
  • Proven ability to manage analysts, lead cross-functional initiatives and deliver results in a matrixed environment

Preferred Qualifications
  • Experience supporting Go To Market, SaaS, or subscription-based business models
  • Experience building analytics, automation, or AI-enabled workflows for Finance, FP&A, GTM Finance, Sales Finance, or business operations teams
  • Experience with Python or other statistical tools for advanced analytics, modeling, or experimentation
  • Experience applying AI, machine learning, or generative AI capabilities to business workflows, such as automated narratives, anomaly detection, forecasting, natural-language analytics, document intelligence, or decision-support tools
  • Experience designing AI-ready data products, semantic layers, metric stores, or governed datasets that support self-service analytics and workflow automation
  • Experience building and deploying predictive models to forecast key metrics
  • Experience designing an optimal decision support process, defining a product strategy to enable it, translating into a roadmap, and enabling it through technology
  • Domain experience in FP&A and / or sales, marketing, and customer success operations
  • Experience working in high-growth or transformation environments
  • Strong understanding of responsible AI practices, including data quality, human-in-the-loop review, model limitations, explainability, and governance considerations

Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $132,000 and $235,950. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).

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About Autodesk

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Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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