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Data Science Visualization Jobs in Indiana (NOW HIRING)

Entry Level Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or related STEM fields ... Proficiency in Python, Gen AI, LLMs, SageMaker, Snowflake, Computer Vision, Data Visualization ...

Oversees activities related to an internal data and analytics portfolio (may include data science, data engineering, data prep, data governance, data stewardship, visualization, alerting and ...

Computer Engineer IV

Crane, IN · On-site

$111K - $131K/yr

Support data science efforts through visualization and analytics tools * Develop and maintain dashboards using tools such as Qlik * Collaborate with data engineers, systems engineers, and developers ...

UI/UX SME

Crane, IN · On-site +1

$185K/yr

Support data science initiatives through visualization, analytics tools, and interface design * Contribute to system and data architecture planning for scalable CBM+ solutions * Ensure interfaces are ...

... Scientist / Analyst V to join our dynamic team. The ideal candidate will have strong experience in CX/VoC analytics, statistical modeling, machine learning, NLP, and data visualization and a proven ...

IN · On-site

$61 - $78.25/hr

Develop data visualization and applications in Python, utilizing frameworks such as Streamlit and plotting tools like holoviews and Plotly. * Collaborate with business analysts, scientists, and AI ...

... Science, or a related field * 2-5 years of experience in data analysis, preferably in operations or business intelligence. * Proficiency in data visualization tools (Power BI, Tableau) and data ...

Computer Engineer IV

Crane, IN · On-site

$111K - $131K/yr

Support data science efforts through visualization and analytics tools * Develop and maintain dashboards using tools such as Qlik * Collaborate with data engineers, systems engineers, and developers ...

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Data Science Visualization information

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Indiana? For Data Science Visualization jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Indiana look for? The top searched job categories for Data Science Visualization jobs in Indiana are:
What cities in Indiana are hiring for Data Science Visualization jobs? Cities in Indiana with the most Data Science Visualization job openings:
Director of Marketing Analytics and Data Science (Digital Marketing Leader)

Director of Marketing Analytics and Data Science (Digital Marketing Leader)

Indiana University

Bloomington, IN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 23 days ago


Job description

Indiana University is seeking a Director of Marketing Analytics and Data Science to drive institutional outcomes by leading the use of data and analytics in designing, measuring, and improving audience experiences across a complex, multi-campus environment. Positioned within the Web and Digital Strategy team within University Communications and Marketing (UCM), this role collaborates closely with experts in marketing and communications, information technology, and higher education to ensure experiences are intentionally designed and informed by data.
Department Specific Responsibilities
  • Reports to the Executive Director of Web and Digital Strategy, the Director of Audience Experience leads the Audience Experience (AX) function.
  • Responsible for omnichannel audience insights, analytics, research, and forecasting.
  • Advances IU's experience engineering and data strategy by transforming data from a reporting function into a strategic capability enabling predictive and prescriptive analytics that guide university strategy, inform decisions, and drive outcomes such as enrollment, engagement, retention, and revenue.
  • Provides strategic leadership within UCM, ensuring data is translated into clear, actionable guidance that supports institutional goals and decision-making.
  • Builds and advances an analytics maturity model-leading a transition from descriptive and diagnostic analytics to predictive and prescriptive analytics, including forecasting, modeling, and outcome-oriented recommendations.
  • Operationalizes IU's experience engineering framework by aligning data with constituent lifecycle stages, triggers, gates, and customer journey orchestration across owned and paid channels.
  • Collaborates with subject matter experts across marketing functions to understand business needs and improve the ability to measure and optimize work.
  • Evangelizes a culture of data strategy and curiosity across the organization.
  • Applies advanced quantitative and analytical techniques (e.g., regression analysis, statistical modeling, A/B testing, multivariate experiments) to complex, multi-source datasets to understand audience behavior, performance, and opportunity.
  • Leads and develops a multidisciplinary Audience Experience team, including data engineering and data visualization specialists, fostering analytical rigor, collaboration, and continuous improvement.
  • Partners with staff to ensure scalable data pipelines, Extract, Transform, Load (ETL) processes, and centralized access to channel, audience, and institutional data that support segmentation, personalization, visualization, and analysis.
  • Collaborates across UCM, campuses, and functional areas to align analytics priorities, enable shared understanding of performance, and support insight-driven planning and investment.
  • Champions ethical, compliant, and responsible data practices, including data governance, privacy, security, and quality standards.
  • Monitors and leads through emerging trends in analytics, data science, and AI to inform continuous improvement and future-state strategy (cookie-less ecosystem, ubiquity of AI, etc.).
General Responsibilities
  • Directs operations for the digital marketing function by providing oversight and direction within a department, large multi-faceted department, or multiple departments.
  • Hires, trains, evaluates, coaches, assigns work, sets goals and objectives, determines staffing needs, and directs the work of a team of digital marketing staff.
  • Manages relationships with various internal and external stakeholders; determines digital marketing needs, projects, and programs to align with objectives and goals and manages processes such as the development of communications timelines related to such initiatives.
  • Reviews drafts of digital marketing strategies, content, and projects and coaches on grammar, tone, branding guidelines, formatting, and other elements that may affect the perception of messaging or reputation of the department.
  • Responds to escalated and complex inquiries and requests and explains policies, procedures, and context of communications.
  • Assists in budget planning and administration for digital marketing initiatives, including expenditures, revenue projections, and program costs.
  • Monitors industry trends and best practices, makes process and operational and strategic recommendations to manager, and assists in implementing recommendations to optimize operations and progress toward objectives.
  • May provide guidance to lower-level Digital Marketing Leaders.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree in communications, journalism, English, public relations, data science, computer science, informatics, information systems, marketing, or related fields.
Preferred
  • Master's degree in data science, computer science, informatics, information systems, marketing, or related fields.
WORK EXPERIENCE
Required
  • 4 years in relevant field.
  • 1 year of management experience in relevant field.
Preferred
  • 7 years of progressive responsibility in analytics, data strategy, audience insights, or a related field within a complex organization.
SKILLS
Required
  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Excellent organizational skills.
  • Excellent collaboration and team building skills.
  • Effectively coaches and delivers constructive feedback.
  • Instills commitment to organizational goals.
  • Demonstrates excellent judgment and decision making skills.
  • Effective conflict management skills.
  • Builds and manages effective teams.
Preferred
  • Advanced quantitative and analytical skills, with demonstrated experience performing regression analysis, forecasting, statistical modeling, and multivariate analysis.
  • Strong understanding of analytics maturity models and the ability to guide organizations from reporting-focused analytics toward insight-, foresight-, and outcome-driven decision-making.
  • Ability to connect analytical work to concrete business or institutional outcomes, including revenue generation, enrollment, retention, and engagement.
  • Strong systems-thinking mindset, with the ability to integrate data across marketing channels, Customer Relationship Management (CRM) platforms, and institutional systems.
  • Familiarity with digital marketing and audience data ecosystems (e.g., GA4, CRM/CDP platforms, marketing automation, data visualization tools).
  • Data storytelling the ability to translate complex analytical findings into clear, compelling narratives and recommendations for senior leaders and non-technical stakeholders .
  • Demonstrated success leading through influence and partnership in decentralized or matrixed environments.
  • Experience leading or mentoring multidisciplinary teams that include analytics, data engineering, and data visualization roles.
  • Familiarity with higher education context.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
Bloomington, Indiana or Indianapolis, Indiana.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Sr. Operational
FLSA: Exempt
Job Function: Marketing & Communications
Job Family: Digital Marketing
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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