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Data Analyst Computer Science Jobs in Missouri (NOW HIRING)

Jobgether

$66K - $83K/yr

As a Senior Data Analyst, you will play a central role in delivering and optimizing global digital ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Catawiki

The Data Science & Insights team plays a central role in that. We are looking for a Data Scientist ... In this role, no two days will be the same: you will build ad hoc analyses, design and analyse ...

Kohl's

Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field * 2+ years of progressively complex data science or analytics experience ...

ConcertoCare

Lead, Data Product Analyst

Kansas City, MO · On-site

$140K - $155K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Health Informatics, Information Systems, or related field. * 5+ years in healthcare data analytics, including experience with health ...

Koniag, Inc.

Data Analyst I

Kansas City, MO · On-site

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with demonstrated ability to conduct both ...

kgs

Data Analyst I

Kansas City, MO · On-site +1

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with demonstrated ability to conduct both ...

kgs

Data Analyst I

Kansas City, MO · On-site +1

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with demonstrated ability to conduct both ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Missouri

Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What are popular job titles related to Data Analyst Computer Science jobs in Missouri? For Data Analyst Computer Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Missouri look for? The top searched job categories for Data Analyst Computer Science jobs in Missouri are:
What cities in Missouri are hiring for Data Analyst Computer Science jobs? Cities in Missouri with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you

Data Analyst, Senior

Jobgether

Remote

$66K - $83K/yr

Full-time

Posted 7 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst, Senior based in Netherlands.

As a Senior Data Analyst, you will play a central role in delivering and optimizing global digital solutions within the Health, Safety & Environment and Risk Management domains. Operating in a highly collaborative and international environment, you will transform complex datasets into actionable insights that support strategic decision-making for global clients. You will contribute to the implementation of scalable digital products, drive process automation, and ensure data-driven excellence across multiple projects. This role combines technical expertise, consulting exposure, and strong stakeholder interaction, offering the opportunity to work on impactful initiatives with real-world business value. You will engage closely with cross-functional teams and clients, ensuring successful solution delivery, adoption, and continuous improvement in a fast-paced, innovation-driven environment.

Accountabilities
  • Manage and support the implementation of global digital products and solutions, ensuring successful deployment, adoption, and ongoing optimization.
  • Analyze complex datasets and deliver high-quality insights through data storytelling, reporting, and visualization tools.
  • Identify opportunities for automation, process standardization, and efficiency improvements using AI and advanced analytics.
  • Collaborate with distributed, cross-functional teams to ensure effective project delivery and alignment with client requirements.
  • Develop and maintain documentation, reports, dashboards, and executive presentations using tools such as PowerPoint and BI platforms.
  • Configure and support product deployments, including delivering training sessions to internal teams and clients.
  • Work directly with customers to ensure best practices in product usage, implementation, and data interpretation.
  • Leverage AI tools and advanced technologies to enhance multilingual configuration, analysis, and delivery support.
  • Conduct unit testing and quality assurance activities to ensure the reliability and performance of delivered solutions.
  • Contribute to agile squads, participate in ceremonies, and support continuous improvement initiatives across projects.
Requirements
  • Minimum 6 years of professional experience in data-focused roles, ideally within consulting or technology environments.
  • At least 3 years of experience working in consulting organizations or client-facing project delivery roles.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Strong proficiency in SQL and experience with database technologies such as Databricks and MongoDB.
  • Advanced experience with Business Intelligence tools such as Power BI, Tableau, or equivalent visualization platforms.
  • Strong command of Excel, PowerPoint, Power Query, and Jira for analysis, reporting, and project management.
  • Understanding of ETL processes and basic familiarity with machine learning concepts.
  • Ability to write and use AI prompts to support and optimize analytical and operational tasks.
  • Experience in unit testing, QA processes, and data validation activities.
  • Strong analytical thinking with excellent attention to detail and data storytelling capabilities.
  • Excellent communication skills with the ability to translate technical insights into business value.
  • Strong teamwork, adaptability, and problem-solving mindset in fast-paced environments.
  • Fluent professional English is required; additional European language skills are a plus.
  • Degree in a relevant technical or analytical field is required.
Benefits
  • Competitive compensation package (details adapted to location and experience).
  • Fully remote position within Europe with flexible working arrangements.
  • Long-term international project exposure with global clients and teams.
  • Opportunity to work on impactful digital transformation initiatives in sustainability and risk management.
  • Strong focus on career development, learning, and continuous upskilling.
  • Exposure to advanced technologies including AI, data platforms, and automation tools.
  • Collaborative and multicultural work environment with distributed teams.
  • Participation in agile squads and innovative delivery frameworks.
  • Access to complex, large-scale projects with real-world business impact.
  • Opportunities to grow within consulting, data, or leadership career paths.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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