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Weekend Qualitative Data Analysis Jobs in Missouri

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

Familiarity with qualitative data analysis and review of narrative program documentation. * Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI)

Co-lead qualitative data collection and analysis, including stakeholder interviews, focus groups, and thematic analysis using frameworks such as CFIR or TDF. * Apply health economic methods including ...

$128K - $148K/yr

Your decisions will directly influence how customers collect, access, analyze, and operationalize ... Define and monitor product metrics, using quantitative and qualitative data to evaluate performance ...

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Weekend Qualitative Data Analysis information

What is the difference between Weekend Qualitative Data Analysis vs Weekend Quantitative Data Analysis?

AspectWeekend Qualitative Data AnalysisWeekend Quantitative Data Analysis
CredentialsTypically requires a background in social sciences, research methods, or related fieldsOften requires a background in statistics, mathematics, or data science
Work EnvironmentResearch settings, focus groups, interviews, and content analysisData sets, statistical software, and numerical data interpretation
Industry UsageMarket research, social research, user experience studies

Weekend Qualitative Data Analysis involves interpreting non-numerical data like interviews and focus groups, often requiring research skills and social science knowledge. In contrast, Weekend Quantitative Data Analysis focuses on numerical data, statistical methods, and software tools. Both roles are essential in research projects but differ in data types, skills, and work environments.

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

The most popular types of Qualitative Data Analysis jobs in Missouri are:

What cities in Missouri are hiring for Weekend Qualitative Data Analysis jobs?

Cities in Missouri with the most Weekend Qualitative Data Analysis job openings:

Data Analyst

ResolveSoft Inc

Kansas City, MO • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Position: Data Analyst

Location: Onsite, Kansas City, MO
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.


Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.


Required Qualifications


  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.


Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.



Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.