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Operations Analytics Jobs in Indiana (NOW HIRING)

ProSync is seeking a passionate Operations Analyst II to apply mathematical, scientific, and engineering methods to improve organizational efficiency, resource allocation, and operational planning.

ProSync is seeking a passionate Operations Analyst II to apply mathematical, scientific, and engineering methods to improve organizational efficiency, resource allocation, and operational planning.

ProSync is seeking a passionate Operations Analyst II to apply mathematical, scientific, and engineering methods to improve organizational efficiency, resource allocation, and operational planning.

ProSync is seeking a passionate Operations Analyst III to apply mathematical, scientific, and engineering methods to improve organizational efficiency, resource allocation, and operational planning.

ProSync is seeking a passionate Operations Analyst III to apply mathematical, scientific, and engineering methods to improve organizational efficiency, resource allocation, and operational planning.

ProSync is seeking a passionate Operations Analyst III to apply mathematical, scientific, and engineering methods to improve organizational efficiency, resource allocation, and operational planning.

Required : • Bachelor's Degree in Business, Supply Chain, Analytics, Industrial Engineering, Operations, or related field • Advanced experience in data analysis, specifically related to ...

This is a fast-track operations role, not a traditional analyst desk job. Microscreen is a precision manufacturer of expendable printing tooling for the electronics industry -- and we're in the ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

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Showing results 1-20

Operations Analytics information

What is the difference between Operations Analytics vs Data Analyst?

AspectOperations AnalyticsData Analyst
Required CredentialsBachelor's in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data tools beneficial
Work EnvironmentBusiness operations, supply chain, manufacturing settingsOffice environments, data-focused teams across industries
Employer & Industry UsageManufacturing, logistics, retail, healthcareFinance, marketing, technology, healthcare
Common Search & ComparisonFocuses on optimizing operations through data-driven insightsAnalyzes data to identify trends and support decision-making

Operations Analytics and Data Analysts both work with data, but Operations Analytics specializes in improving business processes and operational efficiency, often within specific industries like manufacturing or logistics. Data Analysts have a broader focus on analyzing data sets across various functions. Understanding these differences helps in choosing the right career path or job role.

Are operations analysts in high demand?

Operations analysts are in high demand across various industries due to their role in improving efficiency, reducing costs, and supporting data-driven decision-making. Employers seek candidates with skills in data analysis, proficiency in tools like Excel and SQL, and the ability to interpret complex data sets, making this a growing field with strong job prospects.

How much do operations analysts get paid?

Operations analysts typically earn a median annual salary of around $65,000 to $75,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn over $90,000 annually.

What does an operations analyst do?

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. Strong analytical skills and attention to detail are essential for this role.

What are popular job titles related to Operations Analytics jobs in Indiana?

For Operations Analytics jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Operations Analytics jobs in Indiana look for?

The top searched job categories for Operations Analytics jobs in Indiana are:

What cities in Indiana are hiring for Operations Analytics jobs?

Cities in Indiana with the most Operations Analytics job openings:

Infographic showing various Operations Analytics job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Senior Director, R&D Data Strategy, Operations & Analytics

Elanco

Indianapolis, IN • Hybrid

Full-time

Retirement, PTO

Posted 14 days ago


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical


Job description

At Elanco (NYSE: ELAN) - it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals' lives better makes life better - join our team today!

Your Role: Sr Director, R&D Data Operations & Analytics

As theSr Director, R&D Data Operations & Analytics, you will lead the global execution engine that transforms R&D data into a competitive advantage. You are responsible for leading the effort to define the R&D data governance framework, establish metadata standards, and lead the transition toward a "Data-as-a-Product" mindset; operationalizing the R&D data strategy by leading a high-performing team ofspecialized Data Stewardsand driving the end-to-end dashboard and analytics ecosystem. You will translate complex data ecosystems into clear, actionable insights that empower R&D leaders to make informed strategic decisions. In this capacity, you will ensure that all data operations and pipelines are robust, scalable, and purpose-built to achieve Elanco's long-term AI and digital transformation goals.

Your Responsibilities:

  • People Leadership:Lead and develop a cross-functional team for data strategy, data science and Data Stewards (Clinical, Lab, Regulatory).

  • AI Goal Alignment:Partner closely with theAI Strategy Leaderto ensure that data operations, ingestion pipelines, and storage architectures are optimized to achieve Elanco's AI/ML objectives and model performance goals.

  • Scalability & Strategy Alignment:Oversight of the R&D data strategyto ensure the strategic roadmap is translated into scalable operational processes that can support global growth and increasing data volumes while aligned with Enterprise goals.

  • Strategic Insights:Translate complex R&D data sets into executive-ready narratives, using data visualization to influence strategic R&D investment and operational decisions.

  • Analytics & Dashboard Delivery:Oversee the R&D dashboard roadmap, ensuring the delivery of intuitive, high-impact analytics tools that provide real-time visibility into the R&D pipeline.

  • Operational Excellence:Serve as the primary point of escalation for data operational issues, ensuring that the R&D data lifecycle is efficient, reliable, and compliant with global standards.

What You Need to Succeed (minimum qualifications):

  • Education:Master's degree in Business Analytics, Data Science, Information Management, or a related scientific field.

  • Experience:10+ years in data-centric roles, with at least 3 years of direct people management experience in a complex, matrixed environment.

  • Analytical Leadership:Proven track record of leading analytics teams to deliver actionable insights to senior executives.

  • Strategic Communication:Exceptional ability to synthesize technical data into clear, compelling "business stories" for non-technical leadership.

What will give you a competitive edge (preferred qualifications):

  • Industry Expertise:Extensive experience in pharmaceutical R&D, clinical operations, or animal health regulated environments.

  • AI/ML Familiarity:Strong understanding ofdata analytics, AI/ML workflows and how data quality, governance, and pipeline health influenceAI model performance, reliability, and lifecycle management.

  • Change Management:Demonstrated success leading large-scale digital or data transformation initiatives across cross-functional global teams.

Additional Information:

  • Location:Global Elanco Headquarters - Indianapolis, IN

  • Work Model:Hybrid - This position is based in Indianapolis and requires a blend of on-site and remote work.

  • Travel:Less than 10%

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks:

We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

  • Multiple relocation packages

  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)

  • 8-week parental leave

  • 9 Employee Resource Groups

  • Annual bonus offering

  • Flexible work arrangements

  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against jobrelated criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.


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