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Programmer Analyst Advisor Jobs in Chicago, IL (NOW HIRING)

Falconi Consulting

Business Analyst

Chicago, IL · On-site

$70K - $80K/yr

We don't operate as traditional advisors-we work side by side with our clients, inside their ... Bachelor's degree in engineering required (Industrial Engineering preferred) * 0-3 years of ...

FALCONI US

Business Analyst

Chicago, IL

We don't operate as traditional advisors-we work side by side with our clients, inside their ... Bachelor's degree in engineering required (Industrial Engineering preferred) * 0-3 years of ...

FALCONI US

Business Analyst

Chicago, IL · On-site

We don't operate as traditional advisors--we work side by side with our clients, inside their ... Bachelor's degree in engineering required (Industrial Engineering preferred) * 0-3 years of ...

Shield AI

Propulsion Test Engineer (R4380)

Mundelein, IL · On-site

$150K - $230K/yr

... analysis. * Advise on propulsion system readiness and define test objectives, test point ... Collaborate with Instrumentation Engineering to ensure data quality, test post process analysis ...

Baxter & Woodman

Digital Water Engineer I

Chicago, IL · On-site

$74K - $90K/yr

Process and analyze data to train, validate, and evaluate AI models for internal engineering ... Additionally, we lead the industry by offering 401k plans, supported by expert financial advisors ...

Vizient

Senior Strategic Solutions Advisor

Chicago, IL · On-site

$88K - $155K/yr

Analyze healthcare data, identify meaningful trends, and translate findings into strategic insights ... Advanced degree in Healthcare Administration, Business, Data Science, Engineering, Mathematics ...

Implementation Engineers

MOS Senior Analyst

Chicago, IL · On-site

$88K - $109K/yr

OVERVIEW Implementation Engineers is a results-driven firm specializing in operational improvement ... You are recognized by clients and peers as a trusted advisor in digital manufacturing and MOS ...

Direct Counsel

Patent Agent/Advisor (Medtech)

Chicago, IL · On-site

$125K - $205K/yr

Analyzing patents, scientific literature, and technical documents * Drafting patent applications ... Degree in mechanical, chemical, or biomedical engineering (or related field); advanced degree ...

Vizient, Inc

Senior Strategic Solutions Advisor

Chicago, IL · On-site

$88.90 - $155.50/hr

Analyze healthcare data, identify meaningful trends, and translate findings into strategic insights ... Advanced degree in Healthcare Administration, Business, Data Science, Engineering, Mathematics ...

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Programmer Analyst Advisor information

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How much do programmer analyst advisor jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for programmer analyst advisor in Chicago, IL is $47.88, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $58.17 per hour, depending on experience, location, and employer.

What is a programmer analyst advisor?

Programmer Analyst Advisors are experienced professionals who bridge the gap between software development and business needs. They analyze organizational requirements, design technical solutions, and often oversee project implementation. In addition to programming and system analysis, they provide strategic guidance, mentor junior staff, and ensure that technology aligns with business objectives. Their role is critical in optimizing processes, improving efficiency, and driving technology initiatives within an organization.

How much do programmer analysts make in the US?

Programmer analysts in the US typically earn a median annual salary of around $75,000 to $95,000, depending on experience, location, and industry. Salaries can increase with specialized skills in programming languages, database management, and certifications such as Microsoft or Oracle credentials.

What are some common challenges faced by a programmer analyst advisor when managing multiple projects simultaneously?

A Programmer Analyst Advisor often juggles multiple projects with varying priorities and deadlines. One common challenge is balancing client requirements with available technical resources, which requires strong organizational and communication skills. Additionally, integrating feedback from stakeholders while ensuring code quality and project timelines can be demanding. Effective time management, proactive problem-solving, and clear documentation are crucial for successfully navigating these challenges and delivering consistent results across projects.

Are programmer analyst advisors in demand?

Programmer analyst advisors are in demand due to their combination of technical programming skills and analytical expertise, which are valuable in developing and maintaining software systems, analyzing business needs, and providing technical guidance. The role often requires knowledge of programming languages, database management, and problem-solving, making it a sought-after position in many industries with a steady job outlook.

What are the key skills and qualifications needed to thrive as a programmer analyst advisor?

To excel as a Programmer Analyst Advisor, you need advanced programming skills, systems analysis expertise, and a relevant degree in computer science or information technology. Familiarity with enterprise software development tools, databases, and certifications such as PMP or specific programming languages like Java or .NET are often required. Strong problem-solving abilities, leadership, and effective communication are crucial soft skills for bridging technical and business needs. These competencies enable the successful design, implementation, and support of complex IT solutions that drive organizational efficiency.

Is programming analyst a stressful job?

Programming analysts often face deadlines, complex problem-solving, and the need to stay updated with evolving technologies, which can contribute to work-related stress. However, stress levels vary depending on the employer, workload, and individual coping skills, with some roles offering a balanced environment and others requiring long hours or high pressure.

What is the difference between Programmer Analyst Advisor vs Programmer Analyst?

AspectProgrammer Analyst AdvisorProgrammer Analyst
Required CredentialsBachelor's degree in Computer Science or related field; certifications like Microsoft Certified or Oracle CertifiedBachelor's degree in Computer Science or related field; certifications are optional
Work EnvironmentCollaborates with clients and stakeholders; provides technical guidanceFocuses on coding, testing, and maintaining software applications
Employer & Industry UsageUsed in consulting firms, financial services, and large corporationsCommon in IT departments across various industries
Search & Comparison IntentOften compared for advisory roles and client interactionPrimarily technical development roles

The main difference is that a Programmer Analyst Advisor combines technical programming skills with advisory and client-facing responsibilities, whereas a Programmer Analyst primarily focuses on software development and coding tasks. The Advisor role often involves more communication and strategic input, while the Analyst role emphasizes technical execution.

What are popular job titles related to Programmer Analyst Advisor jobs in Chicago, IL? For Programmer Analyst Advisor jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Programmer Analyst Advisor jobs in Chicago, IL look for? The top searched job categories for Programmer Analyst Advisor jobs in Chicago, IL are:
Programmer Analyst Advisor jobs near you

Senior Director, Media Analytics & Strategy

Fusion92

Chicago, IL • On-site, Remote

Full-time

Posted 12 days ago

Job description

Description
Fusion92 is building the future of marketing through an unparalleled, data-driven approach to solving our clients' toughest problems. We call ourselves a Marketing Transformation Partner for clients, as through a culture of curiosity, fearlessness, teamwork and leadership, we turn our expertise toward creating new paths forward where our services and technology together unlock unprecedented growth.
We're an independent, national enterprise based in Chicago with hubs in Detroit, Austin and Denver. Fusion92 is committed to a diverse, equitable, inclusive workplace that drives a positive impact in our global community.
We are experts across every field and discipline in marketing.
Fusion92 is for those who are obsessed with curiosity and innovation. We unite data scientists, media buyers, copywriters, technologists, developers, consultants, coders, UX/UI specialists, designers, strategists, producers, operations pros and more to deliver real results and to give answers to the unanswerable.
We launch products, we have patented innovations, we create award-winning ideas - we transform businesses. We are dreamers and doers, and we are ready for you to join us.
Our difference is our people. That's where you come in.
If you're curious and looking for a remote-flexible, integrated team where you can fearlessly collaborate and deliver best-in-class work, join us!
Role Overview
The Senior Director, Media Analytics & Strategy leads the planning, execution, and delivery of measurement and analytics across enterprise client engagements and internal initiatives. This role carries a strong emphasis on strategic consulting, hands-on analytical rigor, team leadership, and translating complex marketing and media data into clear business intelligence that improves performance, optimizes investment, and unlocks growth.
The Senior Director is responsible for the quality, consistency, and strategic value of analytics outputs across a portfolio of clients. This includes reporting and dashboards, advanced measurement, experimentation, attribution, customer and audience analytics, data management, and cross-channel performance optimization.
This leader will serve as a trusted analytics advisor to senior client stakeholders while partnering closely with media strategy, data science, engineering, technology, creative, and client services teams. The role also plays a critical part in strengthening Fusion92's application of AI, automation, predictive analytics, and emerging technologies to improve speed, insight quality, decision-making, and scalability across the analytics function.
What You'll Do
Analytics Delivery & Client Impact
  • Lead analytics planning, prioritization, and day-to-day resource allocation across a portfolio of enterprise client accounts and internal initiatives.
  • Stay closely involved in execution to ensure analytics deliverables are accurate, consistent, strategically relevant, and aligned with client business objectives.
  • Serve as a primary client-facing analytics leader within account teams, building trusted advisor relationships with senior marketing leaders and executive stakeholders.
  • Translate complex media, marketing, customer, and performance data into clear recommendations that connect directly to business outcomes.
  • Develop measurement strategies and analytics roadmaps that align media investment with broader organizational priorities and growth objectives.
  • Partner with client stakeholders to define KPIs, measurement plans, success metrics, and performance frameworks across paid, owned, earned, and retail media.
  • Review and approve dashboards, analyses, presentations, and strategic recommendations to ensure quality, clarity, and relevance for executive audiences.
  • Partner with media planning, activation, strategy, and client services teams to ensure analytics informs investment decisions, campaign planning, and ongoing optimization.
  • Present analytical findings and recommendations to C-suite executives, senior marketing leaders, and other key client stakeholders.

Advanced Measurement & Performance Analytics
  • Lead the development and execution of advanced media measurement strategies across client engagements.
  • Apply a range of measurement approaches, including marketing mix modeling, multi-touch attribution, incrementality testing, experimentation, media effectiveness studies, customer journey analytics, audience measurement, retail media analytics, and cross-channel performance analysis.
  • Develop scalable measurement frameworks, testing plans, analytical methodologies, and performance standards that can be applied consistently across accounts.
  • Translate complex analytical findings into clear recommendations that improve media efficiency, marketing effectiveness, customer engagement, and return on investment.
  • Guide optimization strategies that connect campaign and platform performance to broader customer, revenue, and business outcomes.
  • Partner with data science teams on predictive modeling, forecasting, audience segmentation, behavioral analytics, and other advanced analytical solutions.
  • Evaluate data quality, measurement limitations, and methodological trade-offs to help clients make informed decisions.
  • Ensure measurement approaches evolve alongside changes in privacy regulations, identity solutions, media platforms, technology, and consumer behavior.
  • Establish best practices for analytical storytelling, data visualization, documentation, governance, and methodological consistency.

AI, Automation & Analytics Innovation
  • Identify and apply practical AI and automation opportunities across analytics workflows to improve delivery speed, insight quality, scalability, and team efficiency.
  • Partner with data science, engineering, technology, and product leadership to integrate AI into reporting, forecasting, measurement, and optimization workflows.
  • Evaluate and apply predictive analytics, machine learning, generative AI, and emerging analytical technologies to solve client and business challenges.
  • Guide the development of scalable analytics products, automated reporting solutions, and internal tools that reduce manual work and increase decision velocity.
  • Translate emerging AI capabilities into practical, responsible, and commercially relevant solutions for clients.
  • Champion a culture of experimentation and continuous improvement while maintaining appropriate standards for data integrity, privacy, governance, and quality.
  • Leverage AI-enabled tools as a regular part of individual and team workflows, setting expectations for thoughtful adoption across the analytics function.
  • Stay current on emerging analytics platforms, measurement technologies, AI developments, and changes within the media and marketing ecosystem.

Team Leadership & Development
  • Lead, mentor, and develop a high-performing team of analytics professionals.
  • Foster strong execution discipline, analytical rigor, curiosity, accountability, and clear client communication across the team.
  • Operate as a player-coach, providing hands-on guidance and direct support on complex client challenges, advanced analyses, and high-priority deliverables.
  • Establish clear expectations, operating standards, and quality controls across analytics engagements.
  • Build career development plans, skill-building opportunities, and learning paths with an emphasis on advanced measurement, consulting capability, technical development, and AI literacy.
  • Elevate the team's ability to move beyond reporting and communicate strategic, commercially relevant insights.
  • Support workload planning, resource allocation, performance management, and succession planning across the analytics function.
  • Foster a collaborative and inclusive team culture grounded in curiosity, experimentation, continuous learning, and shared accountability.

Cross-Functional Collaboration & Growth Support
  • Collaborate closely with media, creative, strategy, data science, engineering, technology, product, and client services teams to deliver integrated, insight-driven solutions.
  • Act as the bridge between business stakeholders and technical teams, ensuring analytics initiatives are appropriately prioritized, scoped, resourced, and executed.
  • Partner with internal teams to strengthen Fusion92's proprietary marketing technology, analytics products, data platforms, and measurement capabilities.
  • Support new business efforts, including RFPs, pitches, proposals, and client growth opportunities, by articulating measurement strategies, analytics capabilities, and business value.
  • Contribute to the development of new analytics services, products, tools, methodologies, and commercial offerings.
  • Partner with internal and external data, analytics, media, and technology providers to expand organizational capabilities.
  • Contribute to best-practice development, thought leadership, knowledge sharing, and capability building across the analytics discipline.
  • Help shape the future direction of Fusion92's media analytics, AI, and data-driven marketing capabilities.

Requirements
What You'll Bring
  • 10+ years of experience in media analytics, marketing analytics, data strategy, customer intelligence, business intelligence, or a related discipline.
  • Experience leading analytics within a marketing agency, consulting firm, media organization, or complex enterprise marketing environment.
  • 3+ years of experience directly leading, mentoring, and developing analytics teams.
  • Deep understanding of the media and marketing ecosystem, including measurement, attribution, experimentation, optimization, audience strategy, and cross-channel performance.
  • Demonstrated experience advising executive stakeholders and presenting analytics, measurement strategies, and business recommendations to senior client leadership.
  • Strong experience across several advanced measurement disciplines, including Marketing Mix Modeling, Multi-Touch Attribution, incrementality testing, experimentation, media effectiveness, digital analytics, customer analytics, retail media analytics, or audience measurement.
  • Hands-on experience with business intelligence, analytics, reporting, and data visualization tools such as Tableau, Power BI, Looker, Salesforce Marketing Cloud Intelligence, or similar platforms.
  • Working knowledge of SQL and experience with Python, R, or comparable analytical programming tools.
  • Familiarity with modern cloud data environments and platforms such as Snowflake, Databricks, BigQuery, Redshift, or similar technologies.
  • Working knowledge of data warehousing, data integration, automation, data modeling, and analytics infrastructure.
  • Demonstrated experience applying or partnering on predictive analytics, machine learning, generative AI, and AI-enabled marketing or analytics solutions.
  • Strong analytical judgment with the ability to evaluate data quality, understand methodological trade-offs, and move from analysis to action.
  • Executive presence with the ability to communicate clearly, influence decisions, and build credibility with clients, team members, and senior internal stakeholders.
  • Excellent written and verbal communication skills, including experience developing executive-level narratives, strategic presentations, and client recommendations.
  • Comfort operating in a hands-on capacity, including direct engagement with data, dashboards, reporting platforms, analytical methodologies, and client deliverables when needed.
  • A consultative mindset with the ability to connect analytical findings to client strategy, media investment, customer behavior, commercial outcomes, and organizational growth.
  • The ability to balance innovation, speed, scalability, and experimentation with appropriate standards for accuracy, governance, privacy, and analytical rigor.

What Success Looks Like
  • Analytics outputs are consistently tied to meaningful business outcomes, trusted by clients, and valued as essential inputs into planning and decision-making.
  • Client relationships are strengthened through clear communication, reliable delivery, executive-level consulting, and proactive insights that go beyond standard reporting.
  • Measurement frameworks, testing roadmaps, and analytical methodologies are clearly defined, consistently applied, and evolving in step with client and market needs.
  • Media investment decisions are increasingly informed by advanced measurement, customer insights, experimentation, and cross-channel performance analysis.
  • The analytics team operates with strong execution discipline, high morale, clear accountability, and growing capability in advanced analytics, consulting, and AI-enabled workflows.
  • AI and automation are integrated into everyday analytics workflows, improving speed, scalability, and insight quality without compromising rigor, privacy, or governance.
  • Cross-functional collaboration is seamless, with analytics actively informing media planning, activation, customer strategy, creative development, technology, and client growth.
  • New analytics products, tools, and methodologies improve the organization's ability to deliver scalable and differentiated client solutions.
  • The Senior Director is recognized internally and externally as a credible, trusted analytics leader who elevates the quality of the work, strengthens client relationships, and develops the people around them.

The hiring range for this role is $135,000 - $160,000. Where an employee is paid within this range will depend on multiple factors including, but not limited to location, years of experience, education, internal pay structure, and other contributing factors.
Disclaimer: All qualified candidates will receive consideration for employment without regard to age, race, creed, color, national origin, ancestry, marital status affectional or sexual orie

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