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Assistant Data Analyst Jobs in Missouri (NOW HIRING)

Participate in data governance efforts to maintain data accuracy, consistency, and integrity across systems * Assist with special projects and ad hoc analysis as needed Requirements: * Bachelor ...

The Data Quality Analyst monitors and evaluates data trends and make recommendations to improve ... This position will also assist in the planning, development and execution of integrated patient ...

They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model ...

A Data Scientist is responsible for working cross functionally in the organization with different groups to assist in data collection plans, to analyze, process, and model data, and to teach data ...

A Data Scientist is responsible for working cross functionally in the organization with different groups to assist in data collection plans, to analyze, process, and model data, and to teach data ...

... Assist Data Engineering with prompt design, query-generation frameworks, evaluation approaches, and integration tasks Identify high-impact opportunities for AI across analytics, reporting, and ...

Interpret vulnerability scan data to prioritize risks * Assist in software, hardware and service ... Analyze DLP dashboards and alerts to determine tool and policy effectiveness, developing strategies ...

... dataAssist Data Engineering with prompt design, query-generation frameworks, evaluation approaches, and integration tasks • Identify high-impact opportunities for AI across analytics ...

Showing results 41-60

Assistant Data Analyst information

See Missouri salary details

$26.3K

$67.2K

$128.5K

How much do assistant data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for assistant data analyst in Missouri is $67,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $78,300.00 per year, depending on experience, location, and employer.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are the key skills and qualifications needed to thrive as an assistant data analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

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

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What are the most commonly searched types of Data Analyst jobs in Missouri?

The most popular types of Data Analyst jobs in Missouri are:

What are popular job titles related to Assistant Data Analyst jobs in Missouri?

For Assistant Data Analyst jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analyst jobs in Missouri look for?

The top searched job categories for Assistant Data Analyst jobs in Missouri are:

What cities in Missouri are hiring for Assistant Data Analyst jobs?

Cities in Missouri with the most Assistant Data Analyst job openings:

Infographic showing various Assistant Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $67,229 per year, or $32.3 per hour.

Sales Analyst

EBS Recruiters LLC

Saint Louis, MO • On-site

Full-time

Re-posted 19 days ago


Job description

Description:

The Sales Analyst is responsible for transforming sales, marketing, customer, and market data into actionable insights that drive revenue growth, sales effectiveness, and customer retention. This role partners closely with sales, marketing, product, and operational teams to identify opportunities, improve processes, develop reporting solutions, and support data-driven decision-making. The ideal candidate is analytical, business-minded, and skilled at turning complex data into meaningful recommendations. 


Key Responsibilities

  • Analyze sales, marketing, customer, and market data to identify trends, opportunities, and business risks
  • Develop account targeting strategies, customer profiles, and sales playbooks to support revenue growth initiatives
  • Partner with cross-functional stakeholders to understand business objectives and deliver data-driven reporting solutions
  • Evaluate sales processes and workflows to identify bottlenecks and improve pipeline efficiency
  • Analyze customer, product, competitive, and market dynamics and provide actionable recommendations to leadership
  • Develop and maintain dashboards, reports, KPIs, and data visualizations using Power BI and other reporting tools
  • Utilize CRM data to support sales strategy, forecasting, customer segmentation, and opportunity management
  • Recommend improvements to customer data collection, data quality, and reporting processes
  • Research and evaluate external data sources to support market analysis, prospect identification, and business development initiatives
  • Support sales enablement, marketing programs, and customer feedback analysis through data-driven insights
  • Participate in data governance efforts to maintain data accuracy, consistency, and integrity across systems
  • Assist with special projects and ad hoc analysis as needed
Requirements:
  • Bachelor’s degree in Business, Analytics, or related field required; MBA or master's degree a plus
  • 5+ years of experience in sales analysis, business analytics, forecasting, reporting, or CRM analysis
  • Experience supporting sales teams and revenue-generating functions
  • Strong proficiency with Power BI, Microsoft Excel, and CRM platforms such as Salesforce or similar systems
  • Foundational SQL skills required
  • Strong analytical, problem-solving, and investigative abilities with a keen attention to detail
  • Excellent written and verbal communication skills with the ability to present findings to both technical and non-technical stakeholders
  • Self-motivated, collaborative, and adaptable in a fast-paced environment
  • Ability to manage multiple priorities while delivering accurate and actionable insights
  • Power BI Data Analyst certification or equivalent strongly preferred