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Associate Degree In Data Analytics Jobs in Anderson, IN

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Data Analyst

Westfield, IN · On-site

Bachelor's degree or equivalent practical experience in a quantitative field (Statistics, Data Science, Business Analytics, or related) * 3+ years of data analysis / business intelligence experience

Linde

IT Manager - Data & Analytics

Indianapolis, IN · On-site

Linde Advanced Material Technologies Inc. IT Manager - Data & Analytics Indianapolis, IN, United ... You hold a degree in computer science, engineering, information systems, or a related field and ...

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Data Analyst

Westfield, IN · On-site

Bachelor's degree or equivalent practical experience in a quantitative field (Statistics, Data Science, Business Analytics, or related) * 3+ years of data analysis / business intelligence experience

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... senior data analyst to establish data governance Non-Essential Duties and Responsibilities Perform other duties as assigned Education and Qualifications Bachelor's degree in computer science ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$124K - $280K/yr

... in data and analytics engineering focus on leveraging advanced technologies and techniques to ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Anderson, IN

Associate Degree In Data Analytics information

See Anderson, IN salary details

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How much do associate degree in data analytics jobs pay per month?

As of Sep 14, 2026, the average monthly pay for associate degree in data analytics in Anderson, IN is $5,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $4,950.00 and $5,816.67 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What cities near Anderson, IN are hiring for Associate Degree In Data Analytics jobs?

Cities near Anderson, IN with the most Associate Degree In Data Analytics job openings:

Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in Anderson, IN as of June 2026, with employment types broken down into 5% As Needed, 47% Full Time, 46% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $65,412 per year, or $31.4 per hour.

Director of Data Analytics

Indianapolis, IN • On-site

Townsend Corporation
Marketing Research • 11 - 50 employees
Learn more about Townsend Corporationexternal

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Who we are:
The Townsend Company, LLC is an industry leader in utility vegetation management, right-of-way services, and utility infrastructure solutions, supporting electric utilities and critical infrastructure across the United States. Headquartered in Muncie, Indiana, Townsend operates in more than 30 states, delivering vegetation management, power line clearance, utility line construction, landscape management, and emergency storm response services. With a longstanding commitment to safety, operational excellence, and customer service, Townsend partners with utilities to protect and maintain critical power infrastructure while providing rewarding career opportunities and professional growth for its employees.
We Offer:
  • Competitive compensation
  • Paid Time Off
  • Medical, dental, and vision benefits
  • Growth and development opportunities within the company
  • 401(k) with company match
  • A collaborative work environment focused on continuous improvement and innovation

Director of Data Analytics Summary:
The Director, Data Intelligence & Analytics is responsible for leading Townsend's enterprise data, analytics, and artificial intelligence capabilities while partnering with business leaders to drive measurable operational and strategic outcomes.
This position leads a diverse team of data engineers, visualization professionals, and AI/ML specialists supporting business units across Townsend. The Director is responsible for advancing the organization's data strategy, improving delivery capabilities, strengthening technical standards, and identifying opportunities to use data and emerging technologies to improve business performance.
This is a hands-on, player-coach leadership role. In addition to providing strategic and people leadership, the Director is expected to remain actively involved in technical delivery and work directly within the platforms and technologies used by the team. This may include developing and reviewing code, troubleshooting data pipelines, reviewing data models, developing proofs of concept, and working alongside team members to resolve complex technical challenges.
Approximately 50-60% of this position is expected to involve direct technical contribution.
Duties/Responsibilities:
Technical Leadership
  • Provide hands-on technical leadership across data engineering, analytics, visualization, AI/ML, and GenAI solutions.
  • Work directly within the technology stack to develop and review code, build and troubleshoot data pipelines, model data, and develop reports and dashboards alongside the team.
  • Personally develop prototypes and proofs of concept to evaluate new approaches and capabilities before broader implementation.
  • Serve as a senior technical reviewer by participating in code reviews, design reviews, and architectural decisions.
  • Establish and maintain high standards for solution quality, performance, scalability, maintainability, and technical delivery.
  • Step into critical-path technical work when necessary to support escalations, meet important deadlines, resolve delivery issues, or remove technical blockers.
  • Evaluate and pilot emerging technologies, AI/Gen, AI capabilities, platform features, and new tools to determine their practical application within Townsend.
  • Develop reusable frameworks, accelerators, templates, standards, and internal tools that improve productivity and delivery across the department.
  • Maintain a strong understanding of day-to-day technical work to ensure estimates, commitments, and technical decisions are realistic and well informed.
  • Remain current on advancements in data engineering, analytics, AI, machine learning, cloud technologies, and related industry trends.

People & Department Leadership
  • Lead and develop a department consisting of data engineers, visualization professionals, and AI/ML specialists.
  • Build a culture where team members feel supported, valued, accountable, collaborative, and encouraged to continuously grow and innovate.
  • Establish strategic and operational goals for the Data Intelligence & Analytics department and translate those goals into measurable actions and outcomes.
  • Support employee development and identify career growth opportunities for team members.
  • Provide coaching, guidance, and technical mentorship to team members and department leaders.
  • Strengthen service capabilities, development practices, and Software Development Life Cycle processes to improve delivery outcomes.
  • Partner with business leaders, project managers, and program managers to optimize delivery models while balancing structure, flexibility, priorities, and available resources.
  • Oversee department capacity and resource allocation to ensure effective use of team capabilities.
  • Manage the portfolio of data and analytics initiatives, identifying risks, competing priorities, resource needs, and opportunities for greater efficiency.
  • Hold teams accountable for commitments, quality standards, business outcomes, and continuous improvement.
  • Promote automation, reusable solutions, and team-based delivery practices that improve efficiency and scalability.
  • Champion continuous improvement across department processes, technical capabilities, service delivery, and team performance.

Business Partnership & Value Creation
  • Partner with business leaders to identify high-value opportunities where data, analytics, automation, and emerging technologies can improve Townsend's operations and business performance.
  • Lead discovery sessions with business stakeholders to understand challenges, opportunities, requirements, and desired outcomes.
  • Translate business needs into practical data, analytics, and technology solutions.
  • Develop and present business cases, project charters, recommendations, and funding proposals to secure investment and executive sponsorship for strategic initiatives.
  • Help business stakeholders maximize the value of enterprise data through modern data platforms, data engineering initiatives, meaningful metrics, visualizations, automation, AI, and GenAI solutions.
  • Demonstrate the business value and potential impact of data-related investments and capabilities.
  • Participate in vendor evaluations, technology selection, solution planning, and technology procurement.
  • Coordinate with technical leaders and business partners to establish appropriate solution approaches, scope, and implementation plans.
  • Partner with communications, training, and change management resources to help ensure new data products and capabilities are understood, adopted, and trusted throughout the organization.
  • Identify opportunities to create measurable value through cost savings, improved decision-making, process automation, operational efficiency, and other business outcomes.

Stakeholder & Relationship Management
  • Build and maintain trusted relationships with executives, business leaders, technical teams, and cross-functional partners throughout Townsend.
  • Maintain a high level of stakeholder satisfaction across data and analytics initiatives.
  • Serve as a trusted technology and data partner to business leaders.
  • Manage competing priorities, conflicts, scope changes, and delivery challenges in a professional and solution-oriented manner.
  • Communicate project status, risks, technical recommendations, business value, and decisions clearly and transparently.
  • Collaborate effectively with HR/Talent, Finance, Information Technology, business unit leadership, project teams, and peer directors.
  • Model Townsend's culture, values, accountability, and commitment to collaboration.
  • Build strong relationships through both in-person and virtual interactions with team members and business partners.

Strategy & Operational Leadership
  • Execute the Data Intelligence & Analytics strategy in alignment with Townsend's broader enterprise and technology objectives.
  • Participate in enterprise technology strategy and long-term planning.
  • Translate executive strategic vision into actionable departmental initiatives and priorities.
  • Evaluate department capabilities and identify opportunities for investment, expansion, modernization, and improvement.
  • Ensure investments in people, platforms, technology, and processes align with business priorities.
  • Make effective decisions in complex, fast-paced, and evolving environments.
  • Provide clear direction and transparency regarding departmental priorities, performance, risks, and outcomes.
  • Support the continued development and adoption of modern data technologies, responsible AI practices, delivery standards, and reusable enterprise solutions.

Qualifications:
  • 10+ years of experience in data, analytics, application development, or a related technical field, including experience partnering directly with business stakeholders and executives.
  • Demonstrated experience leading multidisciplinary technical teams and complex enterprise initiatives.
  • Strong hands-on experience developing Data Engineering, Visualization, AI/ML, and/or GenAI solutions.
  • Demonstrated experience personally building technical solutions rather than solely overseeing technical teams.
  • Current working proficiency with SQL and Python.
  • Experience working with modern data platforms and technologies such as Snowflake, Databricks, Power BI, or comparable platforms.
  • Experience with data orchestration, CI/CD practices, cloud services, modern data architecture, and technical development practices.
  • Demonstrated willingness and ability to remain actively involved in technical delivery while serving in a senior leadership role.
  • Proven experience improving operational efficiency, technical delivery, automation, and organizational capabilities.
  • Experience leading complex projects in multi-stakeholder and cross-functional environments.
  • Experience building strong stakeholder relationships and managing competing priorities.
  • Experience managing vendors, technology investments, budgets, and contracts.
  • Ability to support compliance with applicable industry standards, organizational policies, and technology requirements.
  • Strong written and verbal communication skills.
  • Exceptional presentation and storytelling skills with the ability to communicate effectively with technical teams, business stakeholders, and executive leadership.

Knowledge, Skills & Abilities
  • Strong technical leadership skills with the ability to balance strategic leadership responsibilities with hands-on technical execution.
  • Strong analytical, critical-thinking, and problem-solving skills.
  • Ability to translate executive strategy and organizational priorities into actionable technical and departmental initiatives.
  • Demonstrated bias for action with the ability to identify issues, recommend solutions, and move initiatives forward.
  • Strong sense of ownership, accountability, and responsiveness.
  • Ability to balance deep technical analysis with the need for timely delivery and business results.
  • Ability to operate effectively in a fast-paced, complex, and evolving environment.
  • Strong understanding of emerging technologies and their potential application within business operations.
  • Ability to evaluate new technology capabilities through direct technical exploration and practical application.
  • Strong relationship-building and collaboration skills.
  • Ability to address conflict professionally and identify opportunities for alignment.
  • Strong organizational and prioritization skills with the ability to manage multiple initiatives simultaneously.
  • Ability to lead transformational initiatives and support organizational change.
  • Strong executive presence with the ability to establish credibility with both technical and non-technical audiences.
  • Ability to develop scalable, reusable, automated solutions that improve organizational capabilities and accelerate delivery.
  • Commitment to continuous learning, innovation, improvement, and professional development.
  • Ability to provide appropriate support and responsiveness outside of traditional business hours when business needs, critical delivery issues, or escalations require leadership involvement.

Physical Requirements
  • Prolonged periods of sitting and working at a computer.
  • Ability to communicate effectively in person, virtually, by telephone, and through written communication.
  • Ability to operate standard office and computer equipment.
  • Must be able to occasionally lift and/or move office equipment or materials weighing up to 20 pounds.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

Work Environment
This position primarily operates in a professional office environment and routinely uses standard office equipment and technology. The role requires regular interaction with employees, business leaders, executives, vendors, and technical teams through both in-person and virtual settings.
The position may require flexibility in work hours based on project deadlines, business priorities, system issues, escalations, and other operational needs.
Travel Requirements
Travel may be required between Townsend locations and other business locations to support team collaboration, business partnerships, strategic initiatives, and enterprise projects.
Join a team that values safety, reliability, and professional development. At Townsend Company LLC. our employees, play a critical role in supporting the nation's electric infrastructure through quality vegetation management and right-of-way services. If you enjoy working outdoors, take pride in your work, and want to be part of a dynamic and growing team, we encourage you to apply and build a rewarding career with us.
Pay Range: $150,000 - $160,000 per year

Apply