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Manager Data Analytics Engineer Jobs in Missouri

Data Analytics Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to ... Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua. * Strong ...

Data Analytics Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to ... Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua. * Strong ...

Manager, Data Analytics

Cassville, MO · On-site

$80K - $155K/yr

We're seeking a Manager Data Analyst to turn complex workforce data into clear, actionable insights ... Minimum Qualifications Bachelor's degree in Mathematics, Engineering, Economics, Computer Science ...

We're seeking a Manager Data Analyst to turn complex workforce data into clear, actionable insights ... Minimum Qualifications Bachelor's degree in Mathematics, Engineering, Economics, Computer Science ...

We're seeking a Manager Data Analyst to turn complex workforce data into clear, actionable insights ... Minimum Qualifications Bachelor's degree in Mathematics, Engineering, Economics, Computer Science ...

Proficiency in Python programming for data analysis, visualization, and automation. * Strong understanding of data quality management, data governance, and enterprise data architecture principles.

Proficiency in Python programming for data analysis, visualization, and automation. * Strong understanding of data quality management, data governance, and enterprise data architecture principles.

Proficiency in Python programming for data analysis, visualization, and automation. * Strong understanding of data quality management, data governance, and enterprise data architecture principles.

Excellent collaboration skills, with experience working across product, engineering, and business ... Analytics, Change Management, Big Data Analytics, Tableau and Power BI, Financial Acumen ...

Senior Manager, Data Analytics

Noel, MO · On-site

$90K - $180K/yr

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable ... Transform complex data into clean, automated pipelines and collaborate with engineers to deliver ...

We are seeking a dynamic and experienced Manager of Data Analytics to execute our data strategy and ... Minimum Qualifications Bachelor's degree in Mathematics, Engineering, Economics, Computer Science ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable ... Transform complex data into clean, automated pipelines and collaborate with engineers to deliver ...

We're seeking a Senior Manager Data Analyst to turn complex workforce data into clear, actionable ... Transform complex data into clean, automated pipelines and collaborate with engineers to deliver ...

We are seeking a dynamic and experienced Manager of Data Analytics to execute our data strategy and ... Minimum Qualifications Bachelor's degree in Mathematics, Engineering, Economics, Computer Science ...

We are seeking a dynamic and experienced Manager of Data Analytics to execute our data strategy and ... Minimum Qualifications Bachelor's degree in Mathematics, Engineering, Economics, Computer Science ...

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Showing results 1-20

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 Missouri? The most popular types of Data Analytics Engineer jobs in Missouri are:
What job categories do people searching Manager Data Analytics Engineer jobs in Missouri look for? The top searched job categories for Manager Data Analytics Engineer jobs in Missouri are:
What cities in Missouri are hiring for Manager Data Analytics Engineer jobs? Cities in Missouri with the most Manager Data Analytics Engineer job openings:

Data Analytics Engineer

The Timberline Group

Saint Louis, MO • On-site

$111K - $133K/yr

Other

Posted 10 days ago


Job description

*** Must be a US Citizen or Green Card only Applicant****
The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house transactional databases to a Data Warehouse to enable actionable business insights. The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI. The ideal candidate will be a strong technical resource with effective communication and leadership skills to be a member of data engineering team. The role requires collaboration with cross functional teams and ability to play multiple roles depending upon the situation. The ideal candidate should have strong bias for action, able to dig into details when requirements are fuzzy and have a passion to push forward to progress. If you are an ambitious technologist who is looking to grow, and who is passionate about building world-class products and technology, we encourage you to apply for this exciting opportunity.
What You'll Do
    • Implementation of data ingestion pipelines following the guidelines and best practices defined.
    • Implement data mapping, data transformation, automated testing and data validation.
    • Contribute and implement standards and best practices within the Data Engineering Team.
    • Write detailed stories, sprint grooming and actively contribute in the Agile software development life cycle.
    • Accountable for Delivery and 100% uptime of the Environments.
    • Collaborate with cross-functional teams, including ecosystem leadership and data insights teams, engineering, sales, and marketing to ensure all stakeholders are aligned.
    • Partner with scrum master daily to provide updates.
    • Partner with Data Insights team on a daily basis to stay aligned on priorities.
    • Stay up to date with the latest industry trends and emerging technologies to identify opportunities for innovation and growth.
    • Establish and maintain effective communication channels with internal and external stakeholders.
What You'll Need to Succeed
    • BS in Engineering, Business Administration, Statistics, Business Analytics, or applicable experience in related field
    • Minimum of (3) three years of SDLC experience in ETL/ELT environments with tools/technologies such as Fivetran, dbt, SQL, AWS Redshift, Boomi, PowerBI , Git.
    • Ability to work on-site at least two days a week in St. Louis, MO.
    • Minimum of (2) years of experience in building out schemas for Analytical purposes.
    • Minimum (1) years of hands on experience AWS Cloud and Services such as AWS Glue, AWS Lambda, Python.
    • Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua.
    • Strong development background and expert level skillswith modern SDLC best practices.
    • Proven track record of delivering successful data initiatives.
    • Excellent communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders.
    • Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
    • Experience working in a fast-paced, agile environment.
    • Ability to prioritize and manage multiple projects simultaneously.