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Lead Data Analytics Engineer Jobs in Indiana (NOW HIRING)

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large ...

Data Architecture Lead Reports to: Director, Data Architecture Location: United States (Remote ... Coach and enable engineers and analysts on architecture expectations and best practices through ...

Experience Senior Level Salary $170,000 - $200,000 per year Job Details We are seeking a hands‑on Data & BI Manager to lead a five‑person team across Data Engineering and Power BI while playing a ...

Create clear, high-level briefs and presentations for senior leaders Minimum Requirements: * BS in Data Analytics, Engineering, Computer Science, Business Analytics, or related field. * 5+ years of ...

Senior Data Analyst

Bloomington, IN · On-site

$75K - $94K/yr

Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support ... Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or a related ...

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support ... Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or a related ...

Senior Data Analyst

Bloomington, IN · On-site

$75K - $94K/yr

Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support ... Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or a related ...

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over ... Work hands-on with Data Engineering, Data Governance, and Business Intelligence teams to ensure ...

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over ... Work hands-on with Data Engineering, Data Governance, and Business Intelligence teams to ensure ...

Showing results 41-60

Lead Data Analytics Engineer information

What does a Lead Data Analytics Engineer do?

A Lead Data Analytics Engineer oversees the design, development, and maintenance of data analytics systems within an organization. They lead teams to build data pipelines, optimize data workflows, and ensure data quality and accessibility for business insights. Their role often involves collaborating with data scientists, analysts, and stakeholders to translate business requirements into technical solutions. Additionally, they are responsible for setting best practices, mentoring team members, and staying updated with emerging technologies in data engineering.

What are the key skills and qualifications needed to thrive as a Lead Data Analytics Engineer?

To thrive as a Lead Data Analytics Engineer, you need advanced expertise in data modeling, statistical analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Mastery of tools such as SQL, Python, R, cloud platforms (like AWS or Azure), and data visualization software, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valued. Strong leadership, problem-solving, and communication skills help you guide teams and translate complex data insights to stakeholders. These competencies are essential for delivering impactful analytics solutions and driving data-driven decision-making within organizations.

How does a Lead Data Analytics Engineer typically collaborate with cross-functional teams?

A Lead Data Analytics Engineer frequently partners with data scientists, business analysts, and software engineers to design and implement scalable analytics solutions. They often act as a bridge between technical teams and business stakeholders, translating business requirements into actionable data models and pipelines. Effective communication and project management skills are crucial in ensuring alignment on goals, timelines, and deliverables. Regular meetings and agile workflows are common, fostering a collaborative environment that supports innovation and timely project delivery.

What is the difference between Lead Data Analytics Engineer vs Data Scientist?

AspectLead Data Analytics EngineerData Scientist
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; certifications like AWS, Azure, or Google CloudBachelor's or Master's in Data Science, Statistics, or related fields; similar certifications
Work EnvironmentFocus on data infrastructure, pipelines, and analytics tools; often in engineering teamsFocus on statistical modeling, machine learning, and data interpretation; often in research or analytics teams
Employer & Industry UsageUsed in tech, finance, healthcare for building data systems and analytics platformsUsed across industries for predictive modeling, research, and insights generation

The main difference is that Lead Data Analytics Engineers primarily focus on building and maintaining data infrastructure and analytics pipelines, while Data Scientists concentrate on analyzing data, creating models, and deriving insights. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

What cities in Indiana are hiring for Lead Data Analytics Engineer jobs?

Cities in Indiana with the most Lead Data Analytics Engineer job openings:

Infographic showing various Lead Data Analytics Engineer job openings in Indiana as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Director of Data Analytics and Information

West Lafayette, IN • On-site

Purdue University
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Re-posted 5 days ago


Purdue University rating

7.4

Company rating: 7.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz


Job description

Director of Data Analytics and Information
City: West Lafayette
Job Description:
Job Summary
The Director of Data Analytics and Information (DAI) will help the Dean, Engineering Cabinet, and Engineering Leadership Team with data-driven decision making and strategy for complex and dynamically evolving needs ranging from student access and success to faculty, graduate students, research, entrepreneurship and tech transfer. Work closely with the Dean and Cabinet members to gather and plan top priorities and develop proposals for executive leadership. Supervise the Data Analytics and Information team to manage a myriad of projects and tasks, meet deadlines, and mitigate scheduling conflicts while maintaining a high level of quality. Further develop team members professionally through mentoring, training, facilitating peer reviews and promoting a culture of continuous improvement.
This position offers a chance to make a meaningful impact at a prestigious institution known for innovation and research excellence. Join our community of lifelong learners and contribute your skills to this critical program. At Purdue, you'll find unrivaled pride and unlimited potential as we persistently pursue the next giant leap together. Take the next step in your career journey - apply now to help build a better world at Purdue University.
This is a dual level posting where the hiring manager will determine the level commensurate with the education and experience of the chosen candidate.
What You'll Be Doing:
  • Manage the Data Analytics and Information team in the Dean's Office and oversee development and submission of reports, such as the ASEE data reporting.
  • Set team goals and manage priorities and stakeholder communication.
  • Personally undertake reporting or analysis tasks and projects.
  • Lead assessment and adoption of new additions to Purdue's data ecosystem, e.g. Academic Analytics (AcA), on behalf of, or partnering with, the Cabinet.
  • Coordinate the new annual peer benchmarking updates using AcA and other external data sources.
  • Lead the team's internal peer-review process of new dashboards to maximize functionality and quality, best practice adoption, and end-user experience.
  • Represent the Dean at the University's Executive Data Council meetings.
  • Develop and mentor team members including conducting annual reviews, hiring, training, and performance management.
  • Serve on the Engineering Leadership Team.
  • Work closely with the Dean, Dean's Cabinet, and the Engineering Leadership Team (ELT) to both help shape the questions that need to be answered with data and help to interpret the data to find solutions to complex projects.
  • Work closely with the Dean, Engineering Cabinet, and Finance leadership to craft executive-level reports, proposals and strategic initiatives, ensuring alignment with college priorities.
  • Support and coordinate large Dean's Office projects and operations improvement initiatives.
  • Ensure internal constituents (the Engineering Cabinet, ELT, DAI, and Communications and Marketing teams) are aware of reporting needs and timelines.
  • Conduct SWOT analyses as needed.
  • Act as the primary contact with the college's market research firm: manage the partnership contract, manage the firm's work queue by providing requirements and assessing quality of their deliverables, coordinate with schools to weave in their market research needs into the firm's work queue.

About Us:
The College of Engineering at Purdue University is among the best and largest Engineering schools in the world. With nearly 16,000 engineering students and more than 500 tenure track faculty in the college, this position has ample opportunity to have an impact at one of the world's most influential universities.
For more information about our department, please visit:
  • College of Engineering, Purdue University https://engineering.purdue.edu/Engr
  • External Recognitions Program https://engineering.purdue.edu/Engr/People/Awards
  • College of Engineering's Social Media https://engineering.purdue.edu/Engr/AboutUs/social

What We're Looking For:
Education and Experience:
  • Bachelor's degree in informatics, computer science, or other data-related field
  • Seven (7) years of experience in an information, business computing, or business intelligence field with a history of increasing responsibility and influence; designing and building reports and dashboards for non-technical audiences; and making operational improvements across an organization

Skills needed:
  • Program and project management and communication skills are essential.
  • Ability to think analytically.
  • Ability to effectively communicate to and influence senior levels in the organization required.
  • Ability to lead large projects, on short time lines, with participation from all levels of the organization.
  • Must be able to maintain confidentiality with sensitive data.
  • Knowledge of Purdue University's student and HR reporting systems is desirable.

Nice to have:
  • Master's degree
  • Three (3) or more years of management experience of technical staff
  • Experience with Purdue's enterprise reporting and dashboard tools
  • Experience in higher education bridging traditional analytics with market research strongly preferred.

Who We Are:
Purdue is a community built on collaboration, with global perspectives, Boilermaker pride and endless opportunity to live, learn and grow. Join us and contribute to our culture.
Additional Information:
  • Purdue's benefits summary https://www.purdue.edu/hr/Benefits/
  • Purdue will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible For Overtime)
  • Retirement Eligibility: Defined Contributions immediately

Career Stream
Compensation Information:
Professional 5
Pay Band S080
Job Code#20002213
Professional 6
Pay Band S085
Job Code#20004015
Link to Purdue University's Compensation Guidelines: https://www.purdue.edu/hr/mngcareer/compguidelines/index.php
EOE
Purdue University is an equal opportunity/equal access university

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