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Data Literacy Jobs in Indiana (NOW HIRING)

Literacy Interventionist JOB SUMMARY: Literacy Interventionists supports the acceleration of ... Evidence of skills in differentiated instruction, authentic assessment, and data-driven practices.

Data Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Data Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning ...

Champion data literacy, data quality, and data stewardship principles. * Provide training to end users and assist with training principles. * Assist with the development of proper documentation ...

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Data Literacy information

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How much do data literacy jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data literacy in Indiana is $35.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.25 and $51.83 per hour, depending on experience, location, and employer.

What is a Data Literacy job?

A Data Literacy job focuses on helping individuals and organizations understand, interpret, and effectively use data. Professionals in this role develop training programs, create data-driven cultures, and ensure that employees can read, analyze, and communicate data insights. They often work with business teams to improve decision-making through better data understanding. These roles may involve working in data governance, analytics education, or organizational change management.

What are some common challenges faced in a Data Literacy role and how can they be addressed?

Professionals in Data Literacy roles often encounter challenges such as overcoming resistance to adopting new data-driven processes, bridging knowledge gaps among team members, and ensuring data accuracy and integrity. To address these challenges, successful data literacy professionals use clear communication, structured training sessions, and tailored resources to help coworkers build confidence in handling data. You'll also frequently collaborate with IT, business leaders, and various departments to promote a culture of data-informed decision making. By proactively engaging stakeholders and providing ongoing support, you can foster a more data-literate and empowered workforce.

Is data literacy a hard skill?

Data literacy is considered a hard skill because it involves specific technical knowledge and abilities, such as understanding data analysis, interpretation, and the use of tools like spreadsheets or data visualization software. Developing data literacy typically requires formal training, certifications, or practice with data-related tasks. It is an essential skill for roles like data analysts, business analysts, and data scientists.

What are the key skills and qualifications needed to thrive in the Data Literacy position, and why are they important?

To thrive in a Data Literacy position, you need solid analytical skills, proficiency in interpreting and communicating data, and often a background in data science, statistics, or business analytics. Familiarity with data visualization tools like Tableau or Power BI, spreadsheet software, and possible certifications such as Certified Data Professional (CDP) are advantageous. Strong communication, teaching abilities, and collaboration skills help individuals translate complex data concepts to non-technical audiences. These competencies are crucial to empower teams to make data-driven decisions and enhance overall organizational effectiveness.

What is a data literacy job?

A data literacy job involves helping organizations improve their ability to understand, interpret, and use data effectively. Roles may include data analysts, data trainers, or data literacy specialists who develop training programs, create data documentation, and promote data-driven decision-making using tools like Excel, Tableau, or SQL.

What is the role of data literacy?

Data literacy is the ability to read, understand, create, and communicate data effectively, which is essential for roles involving data analysis, reporting, and decision-making. It involves skills in interpreting data visualizations, using tools like spreadsheets or data analysis software, and understanding data privacy and quality standards.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in analytics, machine learning, and leadership, along with extensive experience and relevant certifications.
What are the most commonly searched types of Data Literacy jobs in Indiana? The most popular types of Data Literacy jobs in Indiana are:
What are popular job titles related to Data Literacy jobs in Indiana? For Data Literacy jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Data Literacy jobs? Cities in Indiana with the most Data Literacy job openings:
Enterprise Finance Master Data Steward

Enterprise Finance Master Data Steward

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

Full-time

Retirement, PTO

Posted 7 days ago


Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

43rd of 73 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:
As an Enterprise Finance Master Data Steward at Elanco, you will be a vital champion for our most critical data assets, playing a pivotal role in ensuring the quality, integrity, and usability of those assets.
Reporting to the Enterprise Data Office, you will be accountable for Finance Master data and will be responsible for ensuring its quality, integrity, and business value. The role will partner closely with business stakeholders and IT, helping to implement and uphold data governance policies and standards.
This role is perfect for a detail-oriented professional with deep business knowledge who can act as the crucial link between business stakeholders and IT to ensure our data is trusted, understood, and used effectively.
Driven by the quickening pace of innovation, Animal Health is on the verge of a revolution, powered by digital business models, technology and data. Partnering with Elanco IT, the Enterprise Data Office (EDO) will act as a catalyst for change, identifying and delivering transformative solutions to solve our biggest business problems.
This includes four strategic priorities:
  • Pipeline Acceleration: Optimise the search and approval of high impact medicines with a focus on speed, cost and precision.
  • Manufacturing Excellence: Improve the efficiency, quality and consistency of core manufacturing processes, specifically execution and equipment effectiveness.
  • Sales Effectiveness: Simplify the process to find, trust and consume relevant customer insights that drive sales growth and improved engagement.
  • Productivity: Expand operating margin through efficiency by systematically reducing our operating expenses across the company, improving profitability.

Your Responsibilities:
  • Data Domain Ownership: Act as the primary owner and subject matter expert for finance master data, responsible for its overall quality and governance.
  • Define and Document: Collaborate with business and technical teams to define and document critical data elements, business rules, and data standards in the enterprise data catalogue.
  • Manage Data Quality: Proactively monitor the quality of data within your domain, establish data quality rules and metrics, and lead root-cause analysis to resolve data issues.
  • Govern Data Access: Establish a process for review and approval of requests for access to data in your domain, ensuring compliance with Elanco's data governance policies and security standards.
  • Drive Issue Resolution: Triage and manage data-related issues, working with data producers and consumers to ensure timely and effective remediation.

Data Lifecycle Management: Oversee the data lifecycle for critical data assets, from creation and acquisition to usage, archival, and eventual disposal. Ensure compliance with data
retention policies and regulatory requirements.
  • Champion Data Literacy: Promote the proper use and understanding of data within your business area and across the enterprise, acting as a key resource and advocate for data-driven decision-making.
  • Collaborate with Governance Bodies: Participate in and provide input to the Data Council and Data Governance Committee, representing the needs and status of the Customer and Price data domain and the impact of the data you oversee across the enterprise.
  • Serve the business: Actively contribute to the design and evolution of Elanco's data architecture, translating business requirements and strategic priorities into actionable data model and integration specifications. This includes proactively identifying opportunities to leverage data assets and architectural improvements to drive innovation and achieve Elanco's strategic business objectives.
  • Measure Impact & Success: Collaborate with business and IT to define and track key performance indicators (KPIs) that demonstrate the business value and impact of data quality and architectural improvements on strategic outcomes.
  • Champion Best Practices: Stay abreast of industry best practices and emerging technologies in data management and architecture, recommending innovative solutions to enhance Elanco's data capabilities.

What You Need to Succeed (Minimum Qualifications):
  • Educational Background: A Bachelor's degree in Information Systems, Data, Process, or a related field is preferred.
  • Business Domain Expertise: 8+ years' experience with deep knowledge and experience in a relevant business function (e.g., R&D, Manufacturing, Commercial, Finance, Supply Chain, etc.)
  • Understanding of Data Governance: A strong foundational knowledge of data governance principles, including data quality, metadata management, and data stewardship.
  • Data Tools Familiarity: Experience with data cataloguing tools (e.g., Collibra) and data quality management software.
  • Analytical Mindset: Excellent analytical and problem-solving skills, with the ability to investigate complex data issues and identify root causes.
  • Communication and Influence: Exceptional communication and interpersonal skills, with the ability to collaborate effectively and influence stakeholders across different business and technical teams.
  • Attention to Detail: A highly organized and meticulous approach to managing data definitions, standards, and quality.
  • Process-Oriented: Experience in process improvement and a demonstrated ability to think systematically about how data flows through the organization.
  • Data-Driven Attitude: A passion for data and a firm belief in its power to drive business outcomes. Should also possess a foundational understanding of data architecture principles, including data modeling, integration patterns, and data platform concepts, with an ability to articulate how these support business strategy.
  • Issue Resolution and Escalation: Facilitate the resolution of data discrepancies, conflicts, and issues, escalating complex problems to appropriate data governance bodies or IT teams when necessary.

Additional Information:
  • Location: Indianapolis, IN Global HQ (Hybrid Environment)
  • Travel: Minimal

Don't meet every single requirement? Studies have shown underrepresented 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 week long shut downs (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 job-related 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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