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Senior Data Analyst Jobs in Decatur, IL (NOW HIRING)

Senior Microbiologist, Process Micro Team - Decatur, IL - Relocation Assistance AvailableResearch ... This role will emphasize laboratory experimentation, analytical method development, and data-driven ...

Sr Systems Analyst - CLR

Decatur, IL · On-site

$169K - $179K/yr

Sr Systems Analyst - CLR, Archer Daniels Midland Company, Decatur, IL. Provide SAP functional ... Perform complete system configuration work in architecture, security, and data standards. Provide ...

Sr. Specialist, Demand Planning | Primient About Primient Primient is a century old company with an ... Advanced data analysis and statistical modeling * Strong verbal and written communication

Entegral Financial Analyst

Clintonia, IL · On-site +1

$75K - $90K/yr

Prepare detailed reports and presentations on findings, analysis, and recommendations for stakeholders and senior management. * Collaborate with product and engineering teams to optimize data ...

The Senior Process Engineer is responsible for implementing process and technology improvement ... process; analyzing production loss and accounting data to develop and prioritize a list of ...

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Senior Data Analyst information

See Decatur, IL salary details

$53.3K

$96.3K

$131.4K

How much do senior data analyst jobs pay per year?

As of Aug 2, 2026, the average yearly pay for senior data analyst in Decatur, IL is $96,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $105,200.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Decatur, IL? The most popular types of Data Analyst jobs in Decatur, IL are:
What are popular job titles related to Senior Data Analyst jobs in Decatur, IL? For Senior Data Analyst jobs in Decatur, IL, the most frequently searched job titles are:
What cities near Decatur, IL are hiring for Senior Data Analyst jobs? Cities near Decatur, IL with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Decatur, IL as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $96,251 per year, or $46.3 per hour.

Data Analytics and Risk Manager - Decatur, IL

ADM

Decatur, IL

Full-time

Re-posted 15 days ago


ADM rating

7.9

Company rating: 7.9 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

78th of 359 rated logistics


Job description

Data Analytics and Risk Manager - Decatur, IL, Chicago, IL, OR Erlanger, KY
Full-Time | Exempt
The Compliance Data Analytics and Risk Manager is a strategic, hands-on role responsible for advancing the effectiveness, efficiency, and maturity of the global compliance program through advanced analytics, AI enablement, automation, and enterprise risk assessment. This role serves as the functional lead for compliance analytics, risk modeling, and compliance technology, leveraging enterprise data platforms, dashboards, and AI-enabled tools to identify trends, anomalies, and emerging risks, and to translate complex data into actionable insights for decision-making. Operating in a fast-paced, global, and highly regulated environment, this role acts as a trusted advisor to Compliance leadership and key cross-functional stakeholders, helping strengthen program oversight, monitoring, and strategic risk management.
Key Responsibilities
Compliance Analytics & Insights: Design, develop, and maintain advanced dashboards, reporting, key risk indicators, and executive-level insights for Compliance leadership and the Board.
Advanced Analytics & AI Enablement: Apply analytics, automation, and AI-enabled tools to identify trends, anomalies, root causes, and predictive insights; build data-to-insight capabilities that support narrative summaries and decision support.
Data Strategy & Governance: Establish compliance data governance standards, data architecture, and scalable reporting frameworks to ensure data quality, consistency, integrity, and usability.
Compliance Technology: Serve as the subject matter expert and product owner for compliance technology solutions, including compliance ERPs and whistleblower/ethics helpline systems; support system optimization, roadmap development, and vendor oversight.
Enterprise Compliance Risk Assessment & Monitoring
Lead the design, execution, and continuous improvement of enterprise and regional compliance risk assessments.
Develop and maintain frameworks for risk identification, scoring, prioritization, monitoring, and escalation, including KRIs, thresholds, and reporting protocols.
Integrate internal data, external risk factors, business changes, and regulatory developments into risk evaluation methodologies and forward-looking risk insights.
Partner with cross-functional stakeholders to prioritize risks, inform mitigation strategies, and support decisions regarding risk acceptance, control effectiveness, and program enhancements.
Develop and execute continuous monitoring and testing activities to assess compliance program effectiveness and maturity.
Program Reporting, Investigations & Advisory Support
Prepare Board of Directors, Executive Committee, and senior leadership reporting, including metrics, trends, key takeaways, and action-oriented insights.
Provide analytics, data interpretation, and systems expertise in support of internal investigations, compliance reviews, and strategic advisory work.
Analyze helpline and case data to identify systemic issues, training needs, program improvement opportunities, and emerging areas of risk.
Support internal and external audits, regulatory inquiries, and compliance reviews through reliable reporting, documentation, and data-driven analysis.
Leadership & Collaboration
Serve as a subject matter expert and thought leader for compliance analytics, risk, data governance, and AI-enabled program enhancement.
Collaborate closely with Legal, Internal Audit, Risk, IT, HR, Global Security, and business stakeholders to improve compliance oversight and decision-making.
Mentor team members and help elevate data literacy, analytics capability, and effective use of compliance technology across the function.
Qualifications & Experience
Required

  • Bachelor's degree in Business, Accounting, Risk Management, Data Analytics, Information Systems, or a related field.

  • 7+ years of progressive experience in compliance, risk management, audit, data analytics, or a related function.

  • Demonstrated experience developing and executing compliance risk assessments.

  • Advanced data analytics skills, including expertise in Excel, SQL, data visualization tools, and BI platforms.

  • Proven experience implementing, managing, or optimizing compliance ERPs, case management systems, and whistleblower/ethics helplines.

  • Strong understanding of global compliance program components and regulatory frameworks (e.g., anti-corruption, antitrust, data privacy, trade compliance).

  • Ability to operate effectively in a fast-paced, high-demand, global environment.

  • Excellent written, verbal, and executive-level communication skills.

Preferred

  • Master's degree in a relevant field.

  • Experience leveraging AI, automation, and advanced analytics in compliance or risk settings.

  • Experience supporting or leading global compliance programs in complex, matrixed organizations.

  • Certifications such as CCEP, CIA, CISA, or equivalent.

Core Competencies

  • Advanced Analytical Thinking & Problem Solving

  • Compliance Risk Management

  • Data Governance & Technology Enablement

  • Strategic Planning & Execution

  • Executive Communication & Reporting

  • Project & Program Management

  • Judgment, Integrity & Confidentiality

  • Ability to Influence and Drive Change

Excited about this role but don't think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.
ADM requires the successful completion of a background check. 
REF:108763BR


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