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Program Manager Data Analytics Jobs in Illinois (NOW HIRING)

Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data ...

Data Analytics and Risk Manager - Decatur, IL, Chicago, IL, OR Erlanger, KY Full-Time | Exempt The ... Program Reporting, Investigations & Advisory Support Prepare Board of Directors, Executive ...

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Program Manager Data Analytics information

What is a program manager in data analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

How does a program manager in data analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

What are the key skills and qualifications needed to thrive as a program manager in data analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

What cities in Illinois are hiring for Program Manager Data Analytics jobs?

Cities in Illinois with the most Program Manager Data Analytics job openings:

Data Analytics Architect

Halo Group

Deerfield, IL • On-site

Full-time

Re-posted 9 days ago


Job description

Company Description

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies and help clients build innovative businesses that keep them one step closer to their customers and one step ahead of the competition.

Job Description

Responsible for designing and implementing technical solutions within the Big Data ecosystem. Collaborate with other peers in the team at the design, "hands-on" implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data solutions. Effectively communicate with onsite/offsite counterparts as well as with the non-technical user community when required. The role includes intensive hands on data acquisition, transformation and modelling work using not only the full Hadoop stack but also other cutting edge Analytics solutions.
This is a Great Opportunity because -
Participant on team responsible for corporate Big Data platform and Data Engineering solution
Employ a variety of languages and tools to integrate and automate systems
Create and secure reliable data layers using reusable components
Interaction and partnership with teams both in the US and abroad.
Continuous automation and deployment mindset
Perform tuning and operational troubleshooting
Focus on simplicity, continuous automation & deployment, reusability and agility
Outcomes/Success Criteria
Establish development framework to speed up deployment and automation of Big Data solutions.
Successful implementation of project delivery, documentation and facilitate transition to on-site and offsite support teams.
Contribute to protecting data assets by assuring corporate data principles are successfully me

Qualifications

Minimum Requirements:
5-10 years of hands-on data solutions and software engineering experience, including no less than three years with Hadoop.
2-3 years of experience on cloud platforms: preferably Google Cloud Platform and AWS.
Demonstrable technical competency on technical solutions that include: Hive, MongoDB and/or Cassandra, SQL databases, REST APIs/Micro services, Kafka, Python, Zeppelin, Scala, Spark, RedShift and/or BigQuery, ElasticSearch and/or Solr.
1-2 years of UNIX/Linux system administration/advanced user experience
Desired Qualifications:
Development / Scripting experience with languages such as Go, Java and Bash.
Experience in at least two of the following frameworks: Jenkins, Github, Ansible, JIRA
Experience in the retail, distribution and/or manufacturing sector
Data modelling certification, Tableau experience and/or Machine Learning experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.