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Senior Statistical Analyst Jobs in Indiana (NOW HIRING)

Wabash National Corporation

Sr. Business Analyst

Lafayette, IN · On-site

$89K - $115K/yr

The Senior Business Analyst for Commercial Operations will serve as a strategic analytics partner ... Bachelor's degree in Business, Finance, Economics, Mathematics, Statistics, Analytics, Data Science ...

Lyntris

Senior Data Analyst

Bloomington, IN · On-site

$99 - $125/hr

Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support ... Partner with senior stakeholders to define analytical objectives, shape problem statements, and ...

Ports North

Sr. Financial Analyst

Indianapolis, IN · On-site

$85 - $110/hr

We have partnered with our client in their search for a Senior Financial Analyst. Location ... Consolidate and present financial and statistical data in a structured, meaningful way for ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

Data Scientist Senior Data Scientist Senior Location: Ideal candidates will be able to report to ... Perform substantive statistical analyses and reporting to improve company competitiveness, market ...

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Senior Statistical Analyst information

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$22.8K

$94.2K

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How much do senior statistical analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior statistical analyst in Indiana is $94,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $101,800.00 per year, depending on experience, location, and employer.

What is a senior statistical analyst?

Senior Statistical Analysts are experienced professionals who use advanced statistical methods to collect, analyze, and interpret complex data sets. They often design experiments, develop predictive models, and provide data-driven insights to support business decision-making. In addition to technical expertise, they may oversee junior analysts, collaborate with other departments, and present findings to stakeholders. Their work helps organizations understand trends, measure performance, and identify opportunities or risks.

How does a senior statistical analyst typically collaborate with cross-functional teams on large projects?

Senior Statistical Analysts often work closely with professionals from departments such as data engineering, product management, and business analytics. They translate complex statistical findings into actionable insights, ensuring that technical results are accessible to non-technical stakeholders. Collaboration may involve regular meetings, joint project planning sessions, and iterative feedback loops to refine analyses based on shifting business priorities. This collaborative environment not only enhances project outcomes but also provides opportunities for professional growth through exposure to diverse perspectives and expertise.

What are the key skills and qualifications needed to thrive as a senior statistical analyst, and why are they important?

To thrive as a Senior Statistical Analyst, you need advanced knowledge of statistical theory, data analysis, and a relevant degree in statistics, mathematics, or a related field. Expertise with statistical software such as SAS, R, Python, and experience with data visualization tools are commonly required, along with certifications like SAS Certified Advanced Analytics Professional. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights. These skills ensure accurate analysis, informed decision-making, and clear communication of findings to stakeholders.

What are the most commonly searched types of Statistical Analyst jobs in Indiana?

The most popular types of Statistical Analyst jobs in Indiana are:

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For Senior Statistical Analyst jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Senior Statistical Analyst jobs in Indiana are:

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Senior Statistical Analyst jobs near you

Sr. Business Analyst

Wabash National Corporation

Lafayette, IN • On-site

$89K - $115K/yr

Full-time

Posted 8 days ago

Wabash National rating

7.4

Company rating: 7.4 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

294th of 496 rated machine equipment manufacturers

Job description

About the Role:
The Senior Business Analyst for Commercial Operations will serve as a strategic analytics partner to the commercial organization, translating complex data into actionable insights that improve sales effectiveness, forecasting accuracy, customer profitability, pricing discipline, and overall commercial performance. This role partners closely with Sales, Commercial Operations, and many other cross-functional business leaders to identify trends, evaluate opportunities, solve ambiguous business problems, and support data-driven decision making.
This role will lead Commercial self-service analytics using Microsoft Power BI, working closely with Sales, Commercial Operations, Finance, and the Enterprise Data team. The analyst will define business requirements and KPI logic, develop dashboards and decision-support analyses using governed data products and shared semantic models, and help Commercial users confidently use data in day-to-day decision-making
Success in this role requires strong analytical capability, business acumen, executive-ready communication, and the ability to connect data, process, and technology to measurable commercial outcomes.
This role will be a strategic commercial decision-support partner focused on growth, profitability, customer experience, and organizational efficiency. Success in this role will be measured by improvements in commercial visibility, forecast accuracy, decision quality, process efficiency, and business performance outcomes.
Your Responsibilities:
Commercial Analytics & Business Insights
  • Analyze commercial performance trends to identify risks, opportunities, gaps, and improvement actions.
  • Develop insights related to sales pipeline, forecasting, customer profitability, pricing, product mix, market trends, and commercial performance.
  • Translate complex datasets into clear business narratives, recommendations, and decision-support materials for commercial leaders.
  • Conduct root cause analysis to understand performance variances and recommend corrective actions.
  • Build governed Power BI dashboards and reports using certified enterprise data products and shared semantic models to enable self-service analytics.
  • Collaborate with the Enterprise Data team to transition broadly adopted analyses and business logic into governed, scalable, reusable, and automated enterprise data products.
  • Lead self-service analytics adoption within the Commercial organization by developing reusable Power BI solutions, training users, monitoring adoption, collecting feedback, and continuously improving the usability and business value of analytics products.

Performance Management
  • Develop and own metric definitions, scorecards, dashboards, and trend reporting to monitor commercial performance.
  • Identify opportunities to improve reporting consistency, metric definitions, data quality, and performance visibility.
  • Partner with Sales and Operations stakeholders to improve forecast visibility, demand accuracy, and alignment to business needs.

Business Intelligence & Technology Enablement
  • Leverage tools such as Microsoft Excel, Power BI, Salesforce CRM, SQL, and ERP platforms to develop meaningful reporting and analytics.
  • Partner with IT and business users to improve data access, dashboard usability, system functionality, and reporting automation.
  • Serve as the bridge between Commercial stakeholders and the Enterprise Data team: partner with the business to define priorities, requirements, and KPI logic, and collaborate with the Data team to deliver governed data, scalable dashboards, and automated reporting solutions.
  • Drive self-service analytics across the Commercial organization by improving the adoption and effective use of data, dashboards, and analytics tools.
  • Help identify and prioritize technology and automation opportunities that improve commercial productivity, user adoption, and decision support capabilities.
  • Apply advanced analytics techniques where appropriate to improve forecasting, segmentation, profitability analysis, and commercial decision support.

Stakeholder Partnership & Communication
  • Build strong working relationships with the Commercial team and other cross-functional partners.
  • Communicate findings, risks, and recommendations clearly to both technical and non-technical audiences.
  • Prepare concise, leadership-ready materials that summarize insights, options, and recommended actions.
  • Support additional commercial operations priorities and projects as assigned.
  • Other duties as assigned

Let's Talk About Your Qualifications:
  • Bachelor's degree in Business, Finance, Economics, Mathematics, Statistics, Analytics, Data Science, or a related quantitative field. (MBA preferred)
  • Minimum of 5 years of experience in business analytics supporting sales organizations, commercial operations, pricing, forecasting, customer profitability, demand planning, or revenue management functions.
  • Strong analytical skills with the ability to interpret large datasets, identify trends, and convert insights into actionable business recommendations.
  • Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, Power Query, and data modeling. Experience developing interactive dashboards and reporting solutions in Power BI.
  • Experience working with CRM, ERP, or other enterprise data systems.
  • Proficiency in SQL for data extraction and analysis strongly preferred
  • Experience identifying process improvement opportunities and implementing solutions that improve efficiency, data quality, decision-making, or business performance.
  • Experience developing KPIs, scorecards, forecasting models, or performance management frameworks that support business accountability and decision-making.
  • Strong business acumen with the ability to connect analytics to commercial performance, profitability, customer experience, and operational execution.
  • Ability to synthesize complex data into clear business insights, recommendations, and executive-level narratives that drive action.
  • Proven ability to manage multiple priorities, work through ambiguity, and deliver high-quality analysis with attention to detail.
  • Demonstrated ability to influence commercial decisions through insightful analysis, business acumen, and effective stakeholder partnership.
  • Highly detail-oriented with a strong commitment to data accuracy, governance, analytical rigor, and continuous improvement.

Leadership Attributes:
At Wabash, we pride ourselves on being empowering, and there are some things we feel very strongly about:
  • Embrace Diversity and Inclusion -- Solicit and respect the input of others, celebrate differences, and strive for transparency and inclusiveness
  • Seek to Listen -- Actively listen to reach the best solution and make the strongest decisions
  • Always Learn -- Strive to improve; do not quit or settle for the status quo
  • Be Authentic -- Demonstrate honesty, incredible energy, and grit in everything you do
  • Win Together -- Collaborate, seek alignment, and excel at cross-group communication to success as one team and One Wabash

Join us in turning ideas into world-changing realities. Curate and build your high-impact professional career at Wabash!
Affirmative Action/EEO Statement:
Wabash is committed to providing equal employment opportunity for its associates and applicants without regard to race, color, religion, sex, age, national origin, veteran status, disability, or other protected class or activity under federal, state, or local law. All employment decisions must be based on neutral, legitimate criteria. All employment policies and rules shall be applied equally to similarly situated associates.
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