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Manager Data Analytics Engineer Jobs in Indiana (NOW HIRING)

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 ...

Linde Advanced Material Technologies Inc. IT Manager - Data & Analytics Indianapolis, IN, United ... You hold a degree in computer science, engineering, information systems, or a related field and ...

Manager of Data and Analytics Full Time Perm Salary: $133,400 - $200,100, plus 15% annual bonus Way ... data engineering, data prep, data governance, data stewardship, visualization, alerting and ...

Manager of Data and Analytics Full Time Perm Salary: $133,400 - $200,100, plus 15% annual bonus Way ... data engineering, data prep, data governance, data stewardship, visualization, alerting and ...

* 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 ...

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

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 ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Lead the design and delivery of analytics-ready data models and transformation layers using dbt as the standard framework * Establish and enforce dbt development standards, including model design ...

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Manager Data Analytics Engineer information

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.

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 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.

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 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:
Data Analytics Developer

Data Analytics Developer

Subaru

Lafayette, IN

Other

Posted 27 days ago


Subaru rating

6.6

Company rating: 6.6 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

35th of 44 rated automakers


Job description

Data Analytics Developer

Information Technology Department

Position Summary:

Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics Developers understand, mine, aggregate, and expose business data to enable efficient decision-making and the discovery of data-based business insights. Data Analytics Developers use a variety of tools, techniques, and languages to create dashboards and populate reporting tools.

Outline of Duties:

  • 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 and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed
  • Develop efficient, robust ETL processes to extract data from transactional systems and other sources; follow organizational change management procedures
  • Design, create, and maintain data warehouses, data lakes, data marts, etc. to support analysis and reporting, following best practices and considering data retention policies
  • Create and model ontology objects; design and build reports and data visualizations, including dashboards
  • Modify solutions to fix errors, adapt to new hardware or runtimes, improve performance, or upgrade interfaces or software versions
  • Lead and/or support continuous improvement activities to improve analysis capability and performance; advise the business on possible and recommended metrics based on experience and industry best practice
  • Deliver ad hoc reports and data extracts as needed
  • All other duties as assigned (ex. perform or coordinate web development) 

Minimum Qualifications:

  • Bachelor's Degree in Computer Science, Data Analytics, Informatics or related field or equivalent

Desired Qualifications:

  • Master's Degree in Computer Science or related field or equivalent experience
  • Experience with Palantir Foundry

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.


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