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Internship Data Analytics Engineer Jobs in Missouri

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

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 ...

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data' algorithmic platforms -- Job responsibilities include implementing the analytics infrastructure ...

Manages the daily data analytics for Ameren's overall analytics portfolio * Develops analytics solutions to business problems; partners with the business to understand and solve problems * Develops ...

Partner closely with architecture, engineering, QA, and other technology teams to ensure ... Proven experience leading a data or analytics transformation and driving adoption across an ...

We're hiring an Analytics Engineer to support our Corporate HQ in Columbia, MO and we're looking ... Develop and manage data pipelines using SQL and Python that extract data from various sources and ...

The Manager, Data Analytics - Sourcing Solutions / GM leverages data-driven insights & research to ... Master's degree in engineering, statistics, computational science, or related quantitative field.

The Manager, Data Analytics - Sourcing Solutions / GM leverages data-driven insights & research to ... Master's degree in engineering, statistics, computational science, or related quantitative field.

(USA) Manager, Data Analytics

Noel, MO · On-site

$80K - $155K/yr

The Manager, Data Analytics - Sourcing Solutions / GM leverages data-driven insights & research to ... Master's degree in engineering, statistics, computational science, or related quantitative field.

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Internship Data Analytics Engineer information

What is the difference between Internship Data Analytics Engineer vs Data Analyst Intern?

AspectInternship Data Analytics EngineerData Analyst Intern
Required CredentialsBasic knowledge of data engineering, SQL, programmingBasic understanding of data analysis, Excel, SQL
Work EnvironmentAssist in building data pipelines, working with data engineering teamsAnalyze datasets, generate reports, support decision-making
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, marketing, finance sectors

Internship Data Analytics Engineers focus on data pipeline development and engineering tasks, while Data Analyst Interns primarily analyze data and create reports. Both roles require foundational data skills but differ in technical focus and responsibilities.

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 are popular job titles related to Internship Data Analytics Engineer jobs in Missouri? For Internship Data Analytics Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Internship Data Analytics Engineer jobs in Missouri look for? The top searched job categories for Internship Data Analytics Engineer jobs in Missouri are:
What cities in Missouri are hiring for Internship Data Analytics Engineer jobs? Cities in Missouri with the most Internship Data Analytics Engineer job openings:
Data Analytics Engineer

Data Analytics Engineer

The Timberline Group

Saint Louis, MO • On-site, Remote

$111K - $133K/yr

Full-time

Posted 23 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 ofSDLC 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 skills with 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.