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Operational Analytics Jobs in Illinois (NOW HIRING)

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 ...

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JOB OVERVIEW The Operations Analytics Leader will play a critical role in analyzing, understanding, deriving insights and driving improvements in Operations and our service delivery to clients and ...

... and operational activities as assigned. Candidates for Compliance Operations Analyst must meet the following requirements to be considered: · Experience supporting compliance, regulatory ...

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Operational Analytics information

What types of teams or departments do Operational Analytics professionals typically collaborate with?

Operational Analytics professionals frequently work cross-functionally, collaborating with departments such as supply chain, finance, production, IT, and customer service. They often serve as a bridge between data teams and operational leaders, ensuring that insights are effectively implemented to drive process improvements. This collaboration requires clear communication and a practical understanding of various business functions, making the role ideal for those who enjoy teamwork and tangible business impact. These interactions can offer excellent networking opportunities and help build a comprehensive understanding of the organization's operations, supporting both immediate project success and long-term career growth.

What is an Operational Analytics job?

An Operational Analytics job focuses on using data to optimize business processes, improve efficiency, and drive decision-making. Professionals in this role analyze real-time and historical data to identify patterns, streamline operations, and enhance performance. They often work with cross-functional teams to implement data-driven strategies, leveraging tools like SQL, business intelligence software, and automation. The goal is to turn raw data into actionable insights that improve operational workflows and business outcomes.

What are the key skills and qualifications needed to thrive in the Operational Analytics position, and why are they important?

To excel in Operational Analytics, you need strong analytical abilities, a background in business operations or supply chain, and often a bachelor's degree in a related field such as business, engineering, or mathematics. Familiarity with data analytics tools like SQL, Excel, Tableau, or Python and certifications in data analytics or Lean Six Sigma are commonly required. Excellent problem-solving, communication, and collaboration skills help you translate data into actionable recommendations for cross-functional teams. These competencies enable you to drive operational improvements and informed decision-making within an organization.

What jobs pay 200,000 a year in the USA?

Operational Analytics roles, such as senior data analysts or analytics managers, can reach or exceed a $200,000 annual salary with extensive experience, advanced skills in data modeling, and proficiency in tools like SQL and Python. High-level positions in finance, technology, and consulting firms also often offer salaries at this level for experienced professionals. Certifications like CFA or PMP can further enhance earning potential in related fields.

What is the job of an operations analyst?

An operations analyst evaluates and improves business processes by analyzing data, identifying inefficiencies, and recommending solutions. They often use tools like Excel, SQL, or data visualization software and work closely with management to optimize operational performance.

Do OPS analysts need a degree?

Operational analysts typically do not require a specific degree, but many employers prefer candidates with a bachelor's degree in fields like business, data analytics, or operations management. Relevant skills such as data analysis, proficiency with tools like Excel or SQL, and experience with operational processes can also be important for the role.

What skills do you need to be an operations analyst?

Operations analysts need strong analytical skills, proficiency in data analysis tools like Excel, SQL, or Tableau, and a good understanding of business processes. They should also have problem-solving abilities, attention to detail, and effective communication skills to interpret data and recommend improvements.
What job categories do people searching Operational Analytics jobs in Illinois look for? The top searched job categories for Operational Analytics jobs in Illinois are:
Strategy & Analytics Manager

Strategy & Analytics Manager

Daniels Health

Chicago, IL • On-site

Other

Posted 2 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.