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Program Manager Data Analytics Jobs in Indiana (NOW HIRING)

* In this role you will design and build scalable data pipelines that transform complex data into powerful insights using modern technologies * You will integrate diverse data sources with precision to ...

Collaborate with SIA management and business users to define data analysis requirements and specifications * Work with transactional system developers to locate and understand source data * Use ETL ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

... programs across a broad range of domains. We are seeking a highly skilled Data Analytics Specialist ... with 2-5 years of experience in data engineering and analytics. The ideal candidate will have ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

... programs across a broad range of domains. We are seeking a highly skilled Data Analytics ... Specialistwith 2-5 years of experiencein data engineering and analytics. The ideal candidate will ...

Technical Architect - Data, Analytics & AI

Fishers, IN · Hybrid

$57.50 - $73.75/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid ...

Technical Architect - Data, Analytics & AI

Carmel, IN · Hybrid

$63.75 - $81.75/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid ...

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Program Manager Data Analytics information

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.

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 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.
What cities in Indiana are hiring for Program Manager Data Analytics jobs? Cities in Indiana with the most Program Manager Data Analytics job openings:
IT Manager - Data & Analytics

IT Manager - Data & Analytics

Linde

Indianapolis, IN • On-site

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This job post has expired today. Applications are no longer accepted.


Linde rating

8.0

Company rating: 8.0 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

34th of 92 rated chemical manufacturers


Job description

  • In this role you will design and build scalable data pipelines that transform complex data into powerful insights using modern technologies
  • You will integrate diverse data sources with precision to ensure accuracy, consistency, and trusted data across the entire lifecycle
  • Further, deliver impactful dashboards and reporting solutions that empower business teams to make confident decisions
  • You will optimize data processes for performance and scalability while proactively driving efficiency and innovation
  • Moreover, you will champion data quality and governance standards to ensure reliability, compliance, and transparency
  • In addition, you will collaborate closely with stakeholders to translate business needs into robust data solutions and continuously enhance the data platform

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