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New Grad Data Analyst Jobs in Missouri (NOW HIRING)

Our partner is looking for a Data Analyst based in Netherlands. This role is an excellent ... Curiosity, adaptability, and a continuous improvement mindset with a willingness to learn new ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more ...

New

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more ...

New

Data Analyst - Casualty Duties: * Collects data and analyzes client information * Works ... Training end users on new reports and dashboards * Transforms data from various sources into ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more ...

New

Conduct product research, evaluate new software products against requirements. * Oversees Data ... Excellent analytical skills with the ability to use data for effective presentation of information

Position Summary The Data Analyst collaborates with business users to create report specifications ... Curiosity to learn and explore new technologies or programming languages to enhance skills and ...

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

Assess the effectiveness and accuracy of new data sources and data gathering techniques. Data Development: Working under the guidance of Data Analytics team leaders to develop custom data models and ...

Improve Data Quality Analyze data across our operational systems and help identify data quality ... Whether that's building out new analytics solutions, testing tools and software, or implementing ...

Improve Data Quality Analyze data across our operational systems and help identify data quality ... Whether that's building out new analytics solutions, testing tools and software, or implementing ...

Support new product documentation as needed To be successful in this role, you will need: * Minimum of High School Diploma or GED * Data analysis, statistical tools (capabilities, SPC software ...

Support new product documentation as needed To be successful in this role, you will need: * Minimum of High School Diploma or GED * Data analysis, statistical tools (capabilities, SPC software ...

Support new product documentation as needed To be successful in this role, you will need: * Minimum of High School Diploma or GED * Data analysis, statistical tools (capabilities, SPC software ...

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New Grad Data Analyst information

What is a New Grad Data Analyst job?

A New Grad Data Analyst is an entry-level role for recent graduates who analyze data to help organizations make informed decisions. They work with datasets, clean and visualize data, and generate insights using tools like SQL, Python, Excel, and Tableau. These analysts collaborate with teams to solve business problems and improve processes. The role provides opportunities to develop technical skills and gain experience in data-driven decision-making.

What are the key skills and qualifications needed to thrive in the New Grad Data Analyst position, and why are they important?

To thrive as a New Grad Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, usually supported by a degree in a quantitative field. Familiarity with technical tools like SQL, Excel, Python or R, and data visualization software such as Tableau or Power BI is highly valued. Strong communication skills, attention to detail, and a proactive willingness to learn help new grads excel in collaborative, data-driven environments. These skills are crucial because they enable you to effectively turn data into actionable insights and contribute to informed business decisions.

What are the typical daily responsibilities for a New Grad Data Analyst?

As a New Grad Data Analyst, your daily responsibilities may include gathering and cleaning raw data, running analyses to identify trends or patterns, and generating reports or dashboards to share your findings. You’ll often work closely with other analysts, team leads, or business stakeholders to understand their data needs and help translate business questions into analytical solutions. Expect regular collaboration in meetings, presentations of your insights, and the opportunity to get hands-on practice with various data tools. Over time, you may also participate in larger projects or support process improvements based on your analyses.

What job categories do people searching New Grad Data Analyst jobs in Missouri look for? The top searched job categories for New Grad Data Analyst jobs in Missouri are:
What cities in Missouri are hiring for New Grad Data Analyst jobs? Cities in Missouri with the most New Grad Data Analyst job openings:
Infographic showing various New Grad Data Analyst job openings in Missouri as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.

Full-time

Posted 8 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 based in Netherlands.

This role is an excellent opportunity to drive business decisions through data, analytics, and automation. You will work closely with technical and business stakeholders to develop dashboards, optimize reporting systems, and build scalable data solutions that improve operational performance. Combining business intelligence, AI, and cloud technologies, you will help transform raw data into actionable insights across multiple functions. The position offers a collaborative, fast-paced environment where innovation and continuous improvement are encouraged. If you enjoy solving complex business problems with data and leveraging modern analytics tools, this role offers both impact and professional growth.

Accountabilities:

As a Data Analyst, you will support reporting, business intelligence, and automation initiatives while helping improve data quality, operational efficiency, and strategic decision-making across the organization.

  • Design, build, and maintain interactive dashboards and business intelligence reports using modern visualization tools.
  • Analyze operational, sales, recruiting, and financial data to uncover trends, opportunities, and performance insights.
  • Develop scalable reporting systems, data models, and KPI frameworks to support business growth.
  • Validate data accuracy and maintain data integrity across multiple platforms and business units.
  • Build cloud-based workflows and automation processes to streamline reporting and reduce manual effort.
  • Leverage AI tools to improve reporting efficiency, automate workflows, and support data-driven initiatives.
  • Perform SQL-based data extraction, transformation, validation, and reporting.
  • Support API integrations between business platforms and troubleshoot data connectivity issues.
  • Document reporting processes, technical workflows, and analytics solutions to ensure consistency and scalability.
  • Collaborate with leadership and cross-functional teams to continuously improve reporting capabilities and operational performance.
Requirements:

The ideal candidate combines strong technical expertise with analytical thinking and a passion for leveraging data and automation to solve business challenges.

  • 5+ years of experience in Data Analytics, Business Intelligence, or a related field.
  • Strong proficiency in SQL and Python for data analysis, reporting, and automation.
  • Advanced Microsoft Excel skills and strong proficiency with Google Sheets.
  • Experience building dashboards using Power BI, Tableau, Looker, or similar business intelligence platforms.
  • Experience working with cloud-based data workflows, REST APIs, and data integrations.
  • Familiarity with AI tools such as ChatGPT, Claude, or similar large language models to improve productivity and reporting.
  • Understanding of automation concepts, workflow optimization, and business process improvement.
  • Experience supporting business operations through data analysis and performance reporting.
  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, or a related technical discipline is preferred.
  • Strong analytical mindset, attention to detail, communication skills, and the ability to work independently in a fast-paced environment.
  • Curiosity, adaptability, and a continuous improvement mindset with a willingness to learn new technologies.
Benefits:
  • Competitive compensation with weekly payments.
  • Flexible remote work opportunity based in India.
  • Full-time engagement of approximately 30-40 hours per week.
  • Access to ongoing training, professional development, and upskilling opportunities.
  • Continuous support and guidance throughout the engagement.
  • Opportunity to work with modern analytics, AI, automation, and business intelligence technologies.
  • Collaborative and supportive professional community.
  • Exposure to a variety of business intelligence and data-driven projects across multiple business functions.
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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