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Assistant Data Analytics Manager Jobs in Missouri

The Timberline Group

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 ... Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua. * Strong ...

Arka Infotech Inc

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

... managing predictive analytics models. Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure. Must have a strong understanding of data ...

Sam's Club

(USA) Senior Manager, Data Analytics

Noel, MO · On-site

$90K - $180K/yr

This group drives measurable gains through data discovery, analytics, and automation, enabling informed decision-making and optimized business strategies. The team values strong project management ...

Kelly Services

Data Reporting Technician

Saint Louis, MO · On-site

$25 - $32/hr

... analysis and transformation, and demonstrate exceptional attention to detail. This position works ... Validate output files and reports prior to release. * Assist Data Management, scientific, and ...

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Assistant Data Analytics Manager information

What does an Assistant Data Analytics Manager do?

An Assistant Data Analytics Manager supports the data analytics team by helping to oversee data projects, analyze large datasets, and generate actionable insights for the organization. They assist in managing junior analysts, ensuring data quality, and developing reports for stakeholders. Their role often involves collaborating with other departments to understand business needs and translating them into data-driven solutions. The Assistant Data Analytics Manager also helps implement new analytical tools and techniques to improve business performance.

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

To thrive as an Assistant Data Analytics Manager, you need strong analytical skills, experience with data modeling and visualization, and a relevant degree in statistics, mathematics, or a related field. Proficiency with analytical tools such as SQL, Python, Tableau, and familiarity with database management systems is typically required. Leadership, problem-solving, and effective communication are important soft skills that help manage teams and translate data insights into actionable business strategies. These skills and qualities are crucial for driving data-driven decision making and ensuring project success within an organization.

What are some common challenges faced by an Assistant Data Analytics Manager, and how can they be addressed?

As an Assistant Data Analytics Manager, one common challenge is balancing the technical aspects of data analysis with effective team coordination and communication across departments. You may often need to translate complex analytical findings into actionable insights for non-technical stakeholders. This requires strong communication skills and the ability to prioritize tasks under tight deadlines. Proactively fostering cross-functional collaboration and continuously updating your technical skills can help you overcome these challenges and contribute to the team's success.

What is the difference between Assistant Data Analytics Manager vs Data Analyst?

AspectAssistant Data Analytics ManagerData Analyst
Required CredentialsBachelor's degree in Data Science, Analytics, or related field; some roles prefer certifications like CAP or Microsoft Certified Data Analyst AssociateBachelor's degree in relevant field; certifications are optional but beneficial
Work EnvironmentSupports managerial tasks, oversees projects, collaborates with teams, and reports to managersFocuses on data collection, cleaning, analysis, and reporting; works independently or in small teams
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for supporting analytics teamsCommon across various industries for data interpretation and reporting

The Assistant Data Analytics Manager typically has more responsibilities in overseeing analytics projects and supporting managerial decisions, while Data Analysts focus on analyzing data and generating reports. Both roles require similar educational backgrounds and certifications, but differ in scope and level of responsibility.

What are the most commonly searched types of Data Analytics Manager jobs in Missouri? The most popular types of Data Analytics Manager jobs in Missouri are:
What cities in Missouri are hiring for Assistant Data Analytics Manager jobs? Cities in Missouri with the most Assistant Data Analytics Manager job openings:
Assistant Data Analytics Manager jobs near you
Data Analytics Engineer

Data Analytics Engineer

The Timberline Group

Saint Louis, MO • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 15 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.

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