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Strategy Analytics Manager Jobs (NOW HIRING)

Role Overview The Strategy & Analytics Manager is a strategic, highly experienced analytics partner responsible for driving advanced insights, operational efficiency, and cost optimization across the ...

Role Overview The Strategy & Analytics Manager is a strategic, highly experienced analytics partner responsible for driving advanced insights, operational efficiency, and cost optimization across the ...

Role Overview The Strategy & Analytics Manager is a strategic, highly experienced analytics partner responsible for driving advanced insights, operational efficiency, and cost optimization across the ...

Reporting into Sales Operations, this role acts as a strategic FP&A partner to Sales Leadership and ... Define, manage, and track the core financial and operational KPIs that guide the revenue ...

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Strategy Analytics Manager information

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$55.5K

$124.7K

$217.5K

How much do strategy analytics manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for strategy analytics manager in the United States is $124,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $157,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Strategy Analytics Manager, you need strong analytical abilities, business acumen, and a background in quantitative fields such as economics, statistics, or business management, often supported by a bachelor's or master's degree. Proficiency with data analytics tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Exceptional communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These skills are crucial for driving data-informed strategic decisions and effectively collaborating with cross-functional teams to achieve business goals.

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

AspectStrategy Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Business, Economics, or related fields; experience in analytics and strategyBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work EnvironmentStrategic planning teams, cross-functional departments, senior managementData teams, IT departments, project-based settings
Employer & Industry UsageConsulting firms, corporate strategy departments, market researchFinance, marketing, healthcare, technology sectors

The Strategy Analytics Manager focuses on analyzing market and business data to inform strategic decisions, often leading teams and working closely with senior management. In contrast, Data Analysts primarily handle data collection, cleaning, and basic analysis to support various operational needs. Both roles require strong analytical skills, but the Strategy Analytics Manager emphasizes strategic insight and leadership.

How does a Strategy Analytics Manager typically collaborate with cross-functional teams to drive business outcomes?

As a Strategy Analytics Manager, you will frequently work alongside teams from marketing, finance, operations, and product development. This collaboration involves gathering data requirements, communicating analytical findings, and translating insights into actionable strategies. You’ll often facilitate workshops or meetings to align objectives, ensure data integrity, and support decision-making processes. Effective communication and stakeholder management skills are crucial, as your analyses directly inform key business initiatives and strategic direction.

What does a Strategy Analytics Manager do?

A Strategy Analytics Manager is responsible for analyzing data and market trends to help shape a company's strategic direction. They gather and interpret complex data, create actionable insights, and collaborate with executives to develop business strategies. These managers often use advanced analytics tools to assess performance, identify opportunities for growth, and support critical decision-making. Their work plays a crucial role in ensuring the organization remains competitive and achieves its long-term goals.
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What job categories do people searching Strategy Analytics Manager jobs look for? The top searched job categories for Strategy Analytics Manager jobs are:
Strategy & Analytics Manager

Strategy & Analytics Manager

Daniels Health

Chicago, IL • Hybrid

Other

Posted 22 days ago


Daniels Health rating

5.0

Company rating: 5.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Role Overview 

The  Strategy & Analytics Manager  is a strategic, highly experienced analytics partner responsible for driving advanced insights, operational efficiency, and cost optimization across the Field Service organization. This role requires deep operational understanding, strong financial acumen, and the ability to influence senior leaders through high-quality analysis, executive-level storytelling, and proactive problem solving. 

In addition to supporting day-to-day operational decision-making, the  Strategy & Analytics Manager  plays a critical role in supporting growth initiatives by partnering with Commercial Finance to project staffing needs, model costs, and evaluate new business opportunities. This role also leads improvements in data quality, reporting, and analytics capabilities, acting as a key liaison between Field Service, IT, and Finance. 

What You Will Do 

Strategic Operational Analytics & Insights 

  • Lead advanced analysis of operational, financial, and performance data to identify systemic inefficiencies, cost-saving opportunities, and scalability improvements. 

  • Develop and oversee executive-level dashboards, scorecards, and reporting frameworks using Excel and Power BI. 

  • Provide Field Service leadership with forward-looking insights that drive productivity, utilization, service quality, and margin performance. 

  • Set analytical standards and best practices to ensure accuracy, consistency, and usability of data across the organization. 

Financial, Staffing & New Business Support 

  • Partner closely with Commercial Finance to support new business pursuits through staffing projections, operational cost modeling, and scenario analysis. 

  • Lead workforce and capacity modeling to align staffing strategies with demand, productivity assumptions, and growth plans. 

  • Support long-range planning, budgeting, and forecasting by linking operational drivers to financial outcomes. 

  • Identify and quantify efficiency and cost-reduction opportunities aligned with Field Service and enterprise financial goals. 

Driving Action & Measurable Outcomes 

  • Translate complex analysis into clear recommendations, prioritized action plans, and measurable operational and financial impacts. 

  • Advise Field Service leadership on trade-offs, risks, and expected outcomes of strategic and operational decisions. 

  • Track performance against improvement initiatives and communicate progress, results, and realized savings. 

Data, Reporting & Process Leadership 

  • Lead initiatives to improve data quality, governance, reporting automation, and analytics maturity across Field Service. 

  • Act as the primary liaison between Field Service and IT for analytics requirements, system enhancements, and reporting solutions. 

  • Reduce manual reporting effort through scalable, repeatable, and automated data solutions. 

  • Mentor and guide analysts or operational partners on analytical approaches and reporting best practices (where applicable). 

Executive & Customer-Facing Communication 

  • Develop polished, executive-ready PowerPoint presentations that clearly communicate insights, recommendations, and strategic implications. 

  • Confidently present findings to senior internal leadership and high-level customer contacts. 

  • Serve as a trusted thought partner and advisor, influencing decisions with data-backed insight and clear narrative. 

Project Management 

  • Manage and track progress on initiatives that directly impact data integrity.  

Candidate Profile 

Skills & Competencies 

  • Expert-level proficiency in Excel, including advanced modeling and complex analysis. 

  • Advanced experience with Power BI, including dashboard design, data modeling, and insight storytelling. 

  • Exceptional PowerPoint skills with the ability to translate data into compelling executive narratives. 

  • Strong financial, operational, and workforce analysis capabilities. 

  • Proven track record of driving efficiency improvements and cost savings through analytics. 

  • Highly organized, detail-oriented, and able to manage complex, multi-threaded initiatives. 

  • Proactive, strategic thinker with strong ownership mindset and initiative. 

  • Excellent stakeholder management and communication skills across technical, operational, financial, and executive audiences. 

Education & Experience 

  • Bachelor's degree in Data Analytics, Business, Operations, Finance, or a related field. 

  • 5+ years of experience in operations analytics, data analytics, or a similar role, with increasing scope and responsibility. 

  • Demonstrated experience partnering with senior operational leadership and Commercial Finance. 

  • Experience leading or significantly contributing to data, reporting, or systems improvement initiatives. 

  • Experience supporting field service, logistics, or service-based operations strongly preferred. 

Work Environment & Collaboration 

  • Office based role with occasional travel to customer sites  

  • Hybrid work environment (Daniels Office & Home Office)  

  • Works cross-functionally with Field Service leadership, IT Commercial Finance, Executive Leadership and other enterprise stakeholders. 

  • Regular interaction with senior executives and high-level customer contacts. 

  • Requires strong executive presence, credibility, and the ability to influence direction through insight and data. 

$88,205 - $123,931 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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