ZipRecruiter

Log In

1

Manager Data Analytics Engineer Jobs in Indiana (NOW HIRING)

Oxenham Group

Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Data Engineer This position functions within a Global Data & Analytics Team at a leading technology ... Follow established code management processes and utilize specified tools. * Support & maintain ...

Infosys

Data Engineer - GCP/Spark/Scala

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

... Analytics Technical Skills 2 Technology|Big Data - Data Processing|Spark Overview The Infosys ... With over four decades of experience in managing the systems and workings of global enterprises, we ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

AEG Presents

Senior Data Engineer - Analytics

Indianapolis, IN · On-site

$117.10K - $154.40K/yr

This is a modern full-stack data & analytics engineering role spanning data modeling, pipeline development, and the user-facing applications that put data in front of decision-makers. The role works ...

AEG

Senior Data Engineer - Analytics

Indianapolis, IN · On-site

$117.10K - $154.30K/yr

This is a modern full-stack data & analytics engineering role spanning data modeling, pipeline development, and the user-facing applications that put data in front of decision-makers. The role works ...

next page

Showing results 1-20

People also search for

All JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Indiana

Manager Data Analytics Engineer information

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Indiana? The most popular types of Data Analytics Engineer jobs in Indiana are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Indiana? For Manager Data Analytics Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Indiana look for? The top searched job categories for Manager Data Analytics Engineer jobs in Indiana are:
What cities in Indiana are hiring for Manager Data Analytics Engineer jobs? Cities in Indiana with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Data Engineer

Oxenham Group

Indianapolis, IN • On-site

$109.40K - $131.40K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer

This position functions within a Global Data & Analytics Team at a leading technology and security solutions company. This role is strategically designed to support existing Data Warehouse & Lakehouse initiatives of the Data Engineering Team. This role will be responsible for collaborating with the entire Global Data & Analytics Team, designing, and rolling out technical solutions in alignment with Team Architecture Best Practices.

What You Will Do:

  • Collaborate with Global Data Team Members to review requirements & translate to ELT design and implementation.
  • Understand Extract Transform and Load technical approaches and designs.
  • Understand the agile approach, leveraging best practices and implementing/documenting repeatable processes.
  • Coordinate with all source-system and IT teams to ensure integration points are managed and involved.
  • Perform technical validation of extracted data.
  • Follow established code management processes and utilize specified tools.
  • Support & maintain Company's Global Data Assets.

What You Need to Succeed:

  • 3–5 Years' experience in Data & Analytics.
  • Execute and deliver with agile / iterative approach.
  • Work well in teams that may be globally co-located.
  • Experience working with Azure Synapse Analytics, Azure Data Factory, or Extract-Transform-Load Tool equivalent.
  • Experience working with SQL Server Databases.
  • Bachelor's Degree in a related field OR Technical Certification equivalent.

Apply