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Freelance Data Analytics Engineer Jobs in Missouri

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site

$111.30K - $133.70K/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 ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site

$111.30K - $133.70K/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 ...

Jobgether

We are currently looking for a Analytics Engineer - OpenData in Netherlands ... In this role, you will help power high-quality healthcare and commercial data solutions used across ...

ClassDojo

Staff Analytics Engineer

California, MO · On-site

$175K - $235K/yr

In the near term, you will take ownership of core data models, improve data quality, and ensure consistency across key metrics. Over time, you will play a critical role in shaping how analytics ...

Lockton, Inc.

Sr Analytics Engineer

Kansas City, MO · On-site

$102K - $140K/yr

The Senior Analytics Engineer is responsible for designing, developing, governing, and maintaining ... This role owns key Gold-layer data objects and the semantic models that support financial and ...

EquipmentShare

Analytics Engineer

Columbia, MO

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 ...

EquipmentShare

Analytics Engineer

Columbia, MO · On-site

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 ...

EquipmentShare

Analytics Engineer

Columbia, MO · On-site

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 ...

EquipmentShare

Analytics Engineer

Columbia, MO · On-site

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 ...

Safety National

Analytics Engineer II

Saint Louis, MO · On-site

Interested in building data products that power advanced analytics and AI? Our Advanced Analytics ... As an Analytics Engineer II, you will play a key role in building and scaling the data foundation ...

Safety National

Analytics Engineer II

Saint Louis, MO · Hybrid

$92.40K - $126.50K/yr

Interested in building data products that power advanced analytics and AI? Our Advanced Analytics ... As an Analytics Engineer II, you will play a key role in building and scaling the data foundation ...

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Freelance Data Analytics Engineer information

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

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

Data Analytics Engineer

The Timberline Group

Saint Louis, MO • On-site

$111.30K - $133.70K/yr

Other

Posted 21 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.

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