Explore 170+ python developer jobs from 78 hiring companies in Diamond, IL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-developer

Python Developer

Coal City

Chicago

Braidwood

Morris

Channahon

Joliet

Minooka

Shorewood

Wilmington

Crest Hill

New Lenox

Plainfield

Lockport

Kankakee

Aurora

Romeoville

Bolingbrook

Oswego

Naperville

Python Developer Jobs

Entegris

The Lanco Group

UNITE HERE HEALTH

Woodward

Onsite

Hybrid

Job Title:Operations Data AnalystJob Description:<div>Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission.The Role:Our site is seeking a highly skilled Data Analyst to support Entegris by partnering across R&amp;D, Materials Quality, Manufacturing, Supply Chain, and Digital teams to ensure critical data is defined, structured, and transformed into usable, trusted, and sustainable datasets.As a batch chemical manufacturer serving the semiconductor industry, we require the highest standards of quality, traceability, and control. The Data Analyst in this role will play a critical part in improving data health, enabling analytics and digital solutions, and ensuring future‑state data sustainability by standardizing data definitions, collaborating with IT on improving data pipelines, and strengthening the processes and tools that generate and manage data.Entegris is a mid-sized company that values learning, growth, and professional development. This position bridges business process knowledge, continuous improvement, and analytics by translating prioritized business data needs into meaningful analysis, dashboards, insights, and governance practices that enable decision‑making, operational excellence, and digital transformation.What You’ll Do:<ul><li>Partner with cross‑functional teams (R&amp;D, Materials Quality, Manufacturing, Supply Chain, CI, and Digital/IT) to understand business processes and define critical data elements, metrics, and data requirements.</li><li>Translate business and operational needs into well‑defined, structured, and governed processes, resulting in reliable data sets that enable analytics, reporting, and digital solutions.</li><li>Work with the IT Data team to Design, build, and maintain reliable, scalable data pipelines that transform raw data into curated, usable datasets aligned to business priorities.</li><li>Improve data quality, consistency, and usability by identifying gaps, root causes, and process issues impacting data health.</li><li>Drive improvements to data generation processes and tools to ensure future data is sustainable, standardized, and fit for purpose.</li><li>Use Power Automate, Power Apps, and the Power Platform to streamline and unify data‑collection systems into automated, scalable workflows.</li><li>Design and deliver scalable web applications using Python frameworks, ensuring intuitive user experiences and robust backend data integration.</li><li>Develop data systems connected to internal platforms, APIs, and analytics pipelines to enable streamlined workflows.</li><li>Establish and reinforce data standards, definitions, and documentation to enable alignment and shared understanding across teams.</li><li>Collaborate with analytics, digital, and IT teams to ensure data foundations support advanced analytics, automation, and digital initiatives.</li><li>Prioritize data work based on business value and critical data needs, balancing near‑term use cases with long‑term data health.</li><li>Support continuous improvement efforts by enabling fact‑based problem solving through accessible, reliable data.</li><li>Reinforce ownership and stewardship of data across functions to ensure improvements are embedded and sustained.</li></ul>What We Seek:<ul><li>B.S. degree in Engineering, Computer Science, Information Systems, or a related discipline.</li><li>Three to five years’ experience (or more) in data analysis, web application development, analytics or data enablement within a manufacturing, quality, or operational environment.</li><li>Strong experience with SQL, data‑lake architectures, and ETL pipelines, including supporting data‑model development, debugging data‑flow issues, and managing deployment of end‑to‑end data solutions.</li><li>Strong object‑oriented programming skills in Python (Django, Flask, FastAPI) for web application development.</li><li>Demonstrated experience working with cross‑functional stakeholders to define data requirements and translate them into technical solutions.</li><li>Strong problem‑solving and systems‑thinking skills with the ability to connect business processes to data structures and flows.</li><li>Experience creating dashboards (Python, Power BI), reports, and curated datasets that support analytics and decision‑making.</li><li>Strong communication skills with the ability to explain data concepts to non‑technical audiences and influence without authority.</li></ul>Required Experience:<ul><li>Experience developing web applications for data collection, including consolidating multiple data‑entry interfaces into a unified, efficient, and user‑friendly platform.</li><li>Data discovery and definition (understanding source systems, data generation processes, and business context).</li><li>Data analysis and transformation to create clean, usable, and scalable datasets.</li><li>Improving data quality through process, tooling, and governance improvements.</li><li>Partnering with business and technical teams to prioritize and deliver business processes and data solutions aligned to business needs.</li></ul>Outstanding Candidates Will Have:<ul><li>Experience supporting manufacturing, quality, R&amp;D, or regulated environments where data accuracy and traceability are critical.</li><li>Proficiency with Power Automate, Power Apps, and the Power Platform, including designing automated workflows, building custom apps, integrating connectors, and optimizing end‑to‑end data‑collection processes.</li><li>Strong understanding of how process discipline and standard work enable sustainable, high‑quality data.</li><li>Experience working alongside Digital, IT, or analytics teams to support dashboards, advanced analytics, or digital solutions.</li><li>Familiarity with continuous improvement principles and how data enables operational excellence.</li><li>Ability to coach teams on data thinking, data health, and sustainable data practices.</li></ul>Our total rewards package goes above and beyond just a paycheck. Whether you’re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.<ul><li>Compensation: $86,000.00 - $108,000.00  per year with actual pay dependent on candidate overall skills</li><li>Annual bonus eligibility</li><li>Progressive paid time off policy that empowers you to take the time you need to recharge</li><li>Generous 401(K) plan with an impressive employer match with no delayed vesting </li><li>Excellent health, dental and vision insurance packages to fit your needs</li><li>Education assistance to support your learning journey</li><li>A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence</li></ul>Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future. At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.#LI-BS1</div>

Operations Data Analyst

BS in Engineering, Computer Science, Information Systems, or related field; 3-5 years in data analysis or analytics in manufacturing/quality; strong SQL, ETL, data pipelines; Python web development; dashboards; cross-functional collaboration.

Woodward is committed to creating a great workplace for all team members. Our company and its members are committed to acting with integrity, being respectful and accountable to one another, and staying humble and driven, while maintaining the highest professional and ethical standards.We are steadfastly committed to attracting the best talent across our communities creating a rewarding workplace. Together we are fulfilling our purpose to design and deliver energy control solutions our partners count on to power a clean future.Woodward supports our members’ wellbeing and regularly benchmarks with other companies in our industry to offer an extensive Total Reward package for this position. Salary will be determined by the applicant&#39;s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. <ul><li>Estimated annual base pay: <ul><li>Level II:  $77,000(minimum) - $100,000(midpoint) - $123,000(maximum)</li><li>Level III: $93,000(minimum) - $121,000(midpoint) - $149,000(maximum)</li></ul></li></ul>All levels are eligible for the following:<ul><li>All members included in annual cash bonus opportunity</li><li>401(k) match (4.5%)</li><li>Annual Woodward stock contribution (5%)</li><li>Tuition reimbursement and Training/Professional Development opportunities for all members  </li><li>12 paid holidays, including floating holidays</li><li>Industry leading medical, dental, and vision Insurance upon date of hire</li><li>Vacation / Sick Time / Vacation Buy-up / Short Term Disability / Bereavement leave</li><li>Paid parental leave</li><li>Adoption Assistance  </li><li>Employee Assistance Program, including mental health benefits. </li><li>Member Life &amp; AD&amp;D / Long Term Disability / Member Optional Life </li><li>Member referral bonus </li><li>Spouse / Child Optional Life / Optional AD&amp;D / Healthcare and Dependent Care Flexible Spending </li><li>Voluntary benefits, including:  </li><li>Home / Auto Insurance discounts </li><li>Whole Life Insurance / Critical Illness Insurance / Legal Assistance / Military Leave </li></ul>About This Role:This role requires both the analytical depth to develop high-quality models and the technical breadth to deploy and scale them reliably in production. The ideal candidate takes full ownership of the model lifecycle from exploratory analysis and experimentation through deployment, infrastructure integration, and ongoing operational reliability. They partner closely with BI, IT, and cross-functional stakeholders to ensure that AI and machine learning capabilities are embedded durably into the organization’s operations and decision-making processes.Data Scientist II Key Responsibilities:<ul><li>Develop Predictive Models: Designs and implement statistical models and machine learning algorithms to analyze complex datasets and generate actionable insights.</li><li>Data Processing and Management: Collects, cleanses, and organizes largescale data from various sources to ensure accuracy and reliability for analysis.</li><li>Collaborate Across Teams: Partners with cross functional teams to understand business requirements and integrate data driven solutions into organizational processes.</li><li>Mentor Junior Team Members: Provides informal guidance and support to new data scientists, fostering skill development and knowledge sharing within the team.</li><li>Communicate Analytical Findings: Presents complex data insights and technical information to stakeholders in a clear and understandable manner, facilitating informed decision making.</li><li>ML Infrastructure Support: Assists in configuring and maintaining the compute and storage infrastructure needed to train and serve models, including cloud-based environments and containerized workflows.</li><li>Feature Engineering &amp; Data Pipelines: Builds and maintains repeatable, automated pipelines for feature extraction, transformation, and loading to support model training and inference.</li><li>Model Packaging &amp; API Integration: Packages trained models for consumption via REST APIs or internal services, enabling downstream integration with business applications and dashboards.</li><li>Version Control &amp; Reproducibility: Applies software engineering best practices including version control (Git), experiment tracking, and environment management to ensure models are reproducible and auditable.</li></ul>Key Skills:<ul><li>Data Analysis: Proficient in analyzing large and complex datasets to identify trends and derive actionable insights.</li><li>Statistical Modeling: Expertise in developing and applying statistical models to support business decision making processes.</li><li>Machine Learning: Skilled in designing, implementing, and evaluating machine learning algorithms for predictive analytics.</li><li>Programming: Advanced proficiency in programming languages such as Python and R for data manipulation and analysis.</li><li>Data Visualization: Ability to create clear and informative visualizations using tools like Tableau, Power BI, or matplotlib.</li><li>Problem Solving: Capable of identifying issues and developing effective solutions using technical expertise and analytical judgment.</li><li>Communication: Effectively conveys complex data findings to nontechnical stakeholders in a clear and understandable manner.</li><li>Business Acumen: Understands key business drivers and aligns data science projects with organizational goals and strategies.</li><li>Collaboration: Works effectively within team environments, providing informal guidance and support to new team members.</li><li>Data Management: Knowledgeable in data warehousing, data cleaning, and database management to ensure data integrity and accessibility.</li><li>Software Engineering Practices: Familiarity with Git, CI/CD basics, and containerization fundamentals to support reproducible and maintainable model development workflows.</li><li>Cloud Platforms: Exposure to cloud compute, storage, and model serving services (Azure, AWS, or GCP) for scalable model training and deployment.</li><li>API Development Fundamentals: Basic understanding of REST API design and frameworks such as FastAPI or equivalent for model integration.</li><li>Experiment Tracking &amp; Reproducibility: Familiarity with tools such as MLflow or DVC to track experiments, manage model versions, and ensure reproducibility.</li></ul>Sr Data ScientistKey Responsibilities:<ul><li>Develop Advanced Data Models: Designs and implement sophisticated statistical and machine learning models to analyze complex datasets and generate actionable insights.</li><li>Lead Data Projects: Manages end-to-end data science projects, ensuring timely delivery and alignment with business objectives.</li><li>Mentor Team Members: Provides expertise and support to junior data scientists, fostering skill development and knowledge sharing.</li><li>Collaborate with Cross Functional Teams: Partners with business units, IT, and other departments to integrate data solutions into organizational strategies.</li><li>Solve Complex Data Challenges: Identifies and addresses intricate data problems, applying innovative methodologies and leveraging multiple information sources.</li><li>Scalable ML Architecture Design: Designs and owns the architecture of scalable ML systems, including training pipelines, model serving infrastructure, and real-time or batch inference patterns appropriate for enterprise-scale use cases.</li><li>ML Platform Leadership: Drives adoption and governance of the ML platform, establishing standards for tooling, environments, and workflow orchestration (e.g., Azure ML, Databricks, Airflow, or equivalent).</li><li>CI/CD for ML: Implements and maintains continuous integration and deployment pipelines for machine learning models, ensuring automated testing, validation, and promotion of models through development, staging, and production environments.</li><li>Cross-Functional Engineering Collaboration: Partners with IT, data engineering, and software development teams to integrate ML outputs into operational systems, ensuring models are accessible, secure, and maintainable at scale.</li><li>Cost &amp; Performance Optimization: Evaluates and optimizes compute resource utilization for model training and serving, balancing performance requirements against infrastructure cost.</li></ul>Key Skills:<ul><li>Data Analytics: Expertise in analyzing large datasets to extract actionable insights.</li><li>Machine Learning: Proficiency in developing and deploying machine learning models.</li><li>Statistical Modeling: Advanced knowledge of statistical techniques and their application.</li><li>Project Management: Skilled in managing data science projects from initiation to completion.</li><li>Programming: Proficiency in languages such as Python and R for data manipulation and analysis.</li><li>Communication: Ability to explain complex data concepts to nontechnical stakeholders.</li><li>Problem Solving: Aptitude for solving complex, data driven problems with innovative solutions.</li><li>Data Visualization: Expertise in creating clear and impactful visual representations of data.</li><li>Business Acumen: Understanding of industry trends and how data science integrates with business strategies.</li><li>Mentorship: Ability to guide and support less experienced colleagues in data science practices.</li><li>Scalable ML Systems Design: Experience with distributed training, model serving, and understanding of latency/throughput trade-offs at enterprise scale.</li><li>Cloud-Native ML Engineering: Proficiency with managed ML platforms such as Azure ML or Databricks, including managed endpoints and autoscaling.</li><li>Software Engineering Proficiency: Strong command of object-oriented design, testing frameworks, code review practices, and CI/CD pipelines applied to ML workflows.</li><li>Containerization &amp; Orchestration: Working knowledge of Docker, Kubernetes, or managed equivalents for packaging and deploying models reliably in production.</li><li>Infrastructure-as-Code Awareness: Familiarity with tools such as Terraform or Bicep for reproducible and auditable environment provisioning.</li></ul>Application window is anticipated to close 7 days from original posting date.This information is provided in compliance with the Colorado Equal Pay for Equal Work Act and is the company’s good faith and reasonable estimate of the compensation range and benefits offered for this position. The compensation offered to the successful applicant may vary based on factors including experience, skills, education, location, and other job-related reasons.This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR).   All applicants must be U.S. Persons within the meaning of the ITAR and EAR, or eligible to obtain all required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce. The ITAR defines a U.S. Person as a U.S. citizen or national, lawful permanent resident (i.e., &#39;Green Card holder&#39;), or a protected person (e.g., asylee, or refugee).Woodward is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, sex (including sexual orientation and gender identity), national origin, age, disability, protected veteran status, or any other category protected under federal, state, or local laws.

Data Scientist (Level II and Senior) - AI & Scalable Analytics Solutions

Data Scientist

Develop predictive models, manage data pipelines, and collaborate with cross-functional teams to deliver scalable analytics.

<div>
<h4>AI Solutions Specialist</h4>
The AI Solutions Specialist supports the Lanco AI Labs initiative by translating real business problems into practical, deployable AI solutions. This role offers hands-on, execution-focused experience building internal AI tools that drive measurable business value. The ideal candidate is self-driven, solution-oriented, and comfortable working independently to design, build, test, and deploy AI solutions that teams can immediately use.
<h4>Essential Functions</h4>
<ul>
<li>Design, build, and deploy internal AI tools and applications using modern AI platforms.</li>
<li>Translate real business problems, workflows, and pain points into working AI solutions.</li>
<li>Rapidly prototype, test, and iterate on AI solutions with minimal oversight.</li>
<li>Own AI solutions end-to-end, including development, testing, deployment, and continuous improvement.</li>
<li>Focus on practical outputs that deliver immediate business value, efficiency gains, and time savings.</li>
<li>Work directly with business teams to gather requirements and gain clarity on workflows and needs.</li>
<li>Push for clarity when requirements are vague or incomplete and help shape feasible solutions.</li>
<li>Prioritize solution development based on business impact and technical feasibility.</li>
<li>Demonstrate AI solutions as needed to support adoption and explain functionality in simple, practical terms.</li>
<li>Support early rollout, usage, and refinement of AI tools.</li>
<li>Stay current with AI tools, platforms, and capabilities and quickly test new approaches.</li>
<li>Apply learnings directly into real solutions and share practical insights with the AI Labs team.</li>
<li>Create and maintain technical and functional documentation for solutions developed (as needed for sustainability and adoption).</li>
</ul>
<h4>Qualifications</h4>
<ul>
<li>Proven hands-on experience building real AI solutions or tools (practical execution required; not purely theoretical).</li>
<li>Strong ability to work independently with minimal direction or supervision.</li>
<li>Demonstrated problem-solving skills with a focus on execution and results.</li>
<li>Ability to translate business needs and workflows into functional AI solutions.</li>
<li>Skill level aligned closely with internal AI Labs standards so solutions can be applied directly to real problems.</li>
<li>Solid communication skills, with emphasis on explaining solutions clearly rather than extensive documentation or presentations.</li>
<li>Strong accountability, ownership mindset, and willingness to figure things out without waiting for direction.</li>
</ul>
<h4>Preferred Qualifications</h4>
<ul>
<li>Experience working with business systems such as Salesforce, Jira, Epicor, or similar platforms.</li>
<li>Experience with automation tools or low-code/no-code platforms.</li>
<li>Background working directly with business users or operational teams.</li>
<li>Exposure to modern AI tools and emerging AI capabilities.</li>
</ul>
</div>
Work Environment: 
This is primarily an office classification, and employees work in an office with moderate noise levels, controlled temperature conditions and no direct exposure to hazardous physical substances. May work offsite in various environments; travel may be required. 
Physical Demands and Travel Requirements:
<ul>
<li>The position occasionally bends, stoops, reaches, pushes and pulls drawers to retrieve and file information and lifts and carries reports, records, and other materials that typically weigh less than 30 pounds.</li>
</ul>
Compensation/Benefits:
We foster a collaborative team environment that values innovation and encourages creative solutions to drive positive organizational impact. Our employees are the key to our success and help us stand out from our competitors. The base pay range for this role is $60,000 to $80,000. The final compensation offer may vary based on factors such as experience, education, skills, and location. We offer competitive pay, paid time off, and comprehensive benefits, including medical, dental, vision, life insurance, and a 401(k) plan.
Lanco is an equal employment opportunity employer.  All employment-related decisions, including but not limited to hiring, compensation, promotion, discipline (including termination), evaluation, training, and development opportunities, etc., are made without discrimination based on race, color, sex, sexual orientation, gender-related identity, pregnancy, national origin, ancestry, religion, age, military status, protected disability, citizenship, genetic information or any other category protected by applicable law.

AI Solutions Specialist

Hands-on AI solution development; independent work; translate business needs into AI tools; prototype and test solutions.

<div><div><div>UNITE HERE HEALTH serves 200,000+ workers and their families in the hospitality and gaming industry nationwide. Our desire to be innovative and progressive drives us to develop impactful programs and benefits designed to engage our participants in managing their own health and healthcare. Our vision is exciting and challenging. Please read on to learn more about this great opportunity!PURPOSEThe Director of Analytics will serve as a strategic leader and architect of enterprise analytics capabilities focused on managing healthcare cost trend across UHH&rsquo;s multi-market, multi-plan environment. This role is accountable for transforming data into actionable insights that directly inform cost containment strategies, vendor performance, clinical programs, and market-specific interventions.This leader will move the organization from retrospective reporting to proactive trend management, building predictive and prescriptive analytics that identify cost drivers, quantify opportunity, and measure impact across a portfolio of initiatives.ESSENTIAL JOB FUNCTIONS AND DUTIESHealthcare Cost &amp; Trend Analytics Leadership<ul style="list-style-type: disc;"><li style="line-height: 1;">Lead development of a comprehensive healthcare cost driver framework (e.g., pharmacy, specialty care, site of care, utilization patterns, unit cost).</li><li style="line-height: 1;">Identify and quantify primary drivers of medical and pharmacy spend across markets, plans, and populations.</li><li style="line-height: 1;">Translate complex claims, eligibility, and clinical data into clear, actionable insights for executive decision-making.</li><li style="line-height: 1;">Partner with clinical, network, and operations teams to align analytics with trend management priorities.</li></ul>Trend Management Portfolio Analytics&nbsp;<ul style="list-style-type: disc;"><li style="line-height: 1;">Design and operationalize analytics for a portfolio of medical trend management initiatives (e.g., site of care optimization, network strategy, utilization management, pharmacy interventions).</li><li>Develop initiative-level measurement frameworks, including:<ul style="list-style-type: circle;"><li style="line-height: 1;">Baselines and control groups</li><li style="line-height: 1;">Savings attribution methodologies</li><li style="line-height: 1;">Ongoing performance tracking</li></ul></li><li style="line-height: 1;">Establish a standardized ROI and impact measurement model across all initiatives.</li></ul>&nbsp;Predictive &amp; Prescriptive Analytics&nbsp;<ul style="list-style-type: disc;"><li style="line-height: 1;">Build and deploy predictive models to identify emerging cost risks (e.g., high-cost claimants, specialty drug utilization, avoidable ER usage).</li><li style="line-height: 1;">Develop early warning systems to detect shifts in utilization and cost trends before they materialize financially.</li><li style="line-height: 1;">Advance capabilities in scenario modeling and forecasting to inform strategic and contracting decisions.</li></ul>Deep Dive Analytic Assessments<ul style="list-style-type: disc;"><li style="line-height: 1;">Lead structured deep-dive analyses into high-cost areas and anomalies, including:</li></ul><ul type="disc"><ul type="circle"><li style="line-height: 1;">Outlier provider or facility performance</li><li style="line-height: 1;">Variation in unit cost and utilization by market</li><li style="line-height: 1;">Network leakage and referral patterns</li></ul></ul><ul style="list-style-type: disc;"><li style="line-height: 1;">Synthesize findings into clear hypotheses and recommended actions tied to financial impact.</li></ul>Executive Reporting &amp; Decision Support<ul style="list-style-type: disc;"><li style="line-height: 1;">Develop and maintain enterprise KPI dashboards for:</li></ul><ul type="disc"><ul type="circle"><li style="line-height: 1;">Cost trend and drivers</li><li style="line-height: 1;">Initiative performance</li><li style="line-height: 1;">Market-level variation</li></ul></ul><ul style="list-style-type: disc;"><li style="line-height: 1;">Present insights to senior leadership and Trustees in a concise, financially grounded, and action-oriented manner.</li><li style="line-height: 1;">Serve as a key thought partner in budgeting, forecasting, and strategic planning cycles.</li></ul>Data Strategy &amp; Governance Partnership<ul style="list-style-type: disc;"><li>Partner with Sr. Director of Analytics , IT and Data Engineering to ensure:<ul style="list-style-type: circle;"><li style="line-height: 1;">Scalable, reliable data infrastructure and pipelines</li><li style="line-height: 1;">High data quality and integrity</li><li style="line-height: 1;">Alignment between business needs and technical architecture</li></ul></li><li style="line-height: 1;">Partner with Sr. Director of Analytics to define data standards, definitions and governance practices to enable consistent reporting and analytics.</li></ul>Team Leadership &amp; Capability Building<ul style="list-style-type: disc;"><li style="line-height: 1;">Build a lead a high-performing analytics team with capabilities in advanced analytics, data visualization and health care economics</li><li>Establish best practices in:<ul style="list-style-type: circle;"><li style="line-height: 1;">Analytical rigor</li><li style="line-height: 1;">Storytelling with data</li><li style="line-height: 1;">Stakeholder engagement</li></ul></li><li style="line-height: 1;">Mentor team members and elevate the organization&rsquo;s analytics maturity and adoption.</li><li style="line-height: 1;">Partner with Underwriting and Finance on final assessments and models to ensure alignment with business financials.</li></ul>Additional Responsibilities and Expectations<ul style="list-style-type: disc;"><li style="line-height: 1;">Analyze organizational programs, initiatives, and data and technology needs to improve execution effectiveness.</li><li style="line-height: 1;">Identify reporting and analytic challenges and develop practical solutions that support organizational performance.</li><li style="line-height: 1;">Assist in developing policies, procedures, and governance frameworks that strengthen data execution discipline.</li><li style="line-height: 1;">Plans, analyzes, and evaluates programs and services, operational needs, and fiscal constraints.</li><li style="line-height: 1;">Supervises, leads, and delegates work and coaches, mentors, develops employees.</li><li style="line-height: 1;">Analyzes problems, identifies, and develops alternative solutions, projects consequences of proposed actions, and implements recommendation/solutions.</li><li style="line-height: 1;">Recommends hires and promotions, directs, and evaluates employment decisions for all assigned positions.</li><li style="line-height: 1;">Responsible for the oversight of continued employee training requirements, safety, and quality initiatives.</li><li style="line-height: 1;">Exemplifies the Fund&rsquo;s BETTER Values and professional effectiveness dimensions in leading and fostering a respectful, trusting, and engaged culture of diversity and inclusion.</li><li style="line-height: 1;">Performs other duties as assigned within the scope of responsibilities and requirements of the job.</li><li style="line-height: 1;">Performs Essential Job Functions and Duties with or without reasonable accommodation.</li></ul>ESSENTIAL QUALIFICATIONSYears of Experience and Knowledge<ul style="list-style-type: disc;"><li style="line-height: 1;">6 ~ 8+ years of experience in healthcare analytics, managed care, or health plan environments</li><li style="line-height: 1;">&nbsp;3 ~ 5 years of department management experience required</li><li style="line-height: 1;">Demonstrated experience analyzing medical and pharmacy claims data at scale</li><li style="line-height: 1;">Deep understanding of healthcare cost structures, utilization drivers, and reimbursement models</li></ul>Education, Licenses, and Certifications<ul style="list-style-type: disc;"><li style="line-height: 1;">Bachelor&rsquo;s degree required; Master&rsquo;s (e.g., MPH, MBA, MS in Analytics, Health Economics, or related field) strongly preferred</li><li style="line-height: 1;">Master&rsquo;s degree preferred</li><li style="line-height: 1;">Project Management Institute certification (PMP or similar) preferred</li></ul>Skills and Abilities<ul style="list-style-type: disc;"><li>Advanced expertise in:<ul style="list-style-type: circle;"><li style="line-height: 1;">Predictive analytics and statistical modeling</li><li style="line-height: 1;">Healthcare cost and utilization analysis</li><li style="line-height: 1;">ROI and savings attribution methodologies</li></ul></li><li>Proficiency in tools such as:<ul style="list-style-type: circle;"><li style="line-height: 1;">SQL, Python/R</li><li style="line-height: 1;">Data visualization platforms (e.g., Power BI, Tableau)</li><li style="line-height: 1;">Experience working with large, complex datasets and modern data platforms</li></ul></li><li style="line-height: 1;">Proven ability to translate analytics into business strategy and financial impact</li><li style="line-height: 1;">Strong executive presence with experience presenting to senior leadership or boards</li><li style="line-height: 1;">Ability to operate in ambiguous, fast-paced environments and build new capabilities from the ground up</li><li style="line-height: 1;">Highly collaborative, with the ability to influence across clinical, operational, and technical teams</li><li style="line-height: 1;">Travel: Approximately 10-15%</li></ul>OTHER JOB FUNCTIONS AND DUTIESThe information contained in this job description is designed to indicate the general nature and level of work performed in this job with a certain degree of specificity, where warranted. In no instance, however, should the duties, functions, qualifications, or requirements be interpreted as all-inclusive. Management may, at its discretion, assign or reassign functions and duties to or from this job at any time, due to reasonable accommodation or other reasons. Listed requirements, skills, qualifications and abilities included have been determined to illustrate the minimal standards required to successfully perform the position.Salary range for this position: $153,600 ~ $195,900. Actual base salary may vary based upon, but not limited to: relevant experience, qualifications, expertise, certifications, licenses, education or equivalent work experience, time in role, peer and market data, prior performance, business sector, and geographic location.Work Schedule (may vary to meet business needs): Monday ~ Friday, 7.5 hours per day (37.5 hours per week).We reward great work with great benefits, including but not limited to: Medical, Dental, Vision, Paid Time-Off (PTO), Paid Holidays, 401(k), Pension, Short- &amp; Long-term Disability, Life, AD&amp;D, Flexible Spending Accounts (healthcare &amp; dependent care), Commuter Transit, Tuition Assistance, and Employee Assistance Program (EAP).&nbsp;</div></div></div>

Director of Analytics 

Lead enterprise analytics for healthcare cost trend; develop predictive models; guide data strategy and governance; build high-performing team.

Python Developer Jobs in Diamond, IL, US

Python Developer Jobs market signals in Diamond, IL, US

Companies appearing in this market

Work location mix in visible results

Related browse hubs