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New Grad Data Analyst Jobs in Missouri (NOW HIRING)

Jobgether

Support evaluations of new protocol integrations, incentive programs, grants, and tokenomics initiatives through quantitative analysis and data-driven recommendations. * Define, monitor, and report ...

Stifel

Data Analyst

Saint Louis, MO · On-site

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 ...

Pivotal Solutions

Data Analyst

Fenton, MO · On-site

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

Schuber Mitchell Homes LLC

Data Analyst

Joplin, MO · On-site

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 ...

Cliftonlarsonallen

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 ...

Leggett & Platt

Quality Data Analyst

Carthage, MO · On-site

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 ...

Leggett & Platt

Quality Data Analyst

Carthage, MO · On-site

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 ...

Leggett & Platt

Quality Data Analyst

Carthage, MO

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 ...

University of Rochester

$77K - $116K/yr

Job Location (Full Address): 601 Elmwood Ave, Rochester, New York, United States of America, 14642 ... Advise on data structure, data quality, missing data, and analytic assumptions * GRANT DEVELOPMENT ...

Jobgether

$66K - $83K/yr

Partner with Product Managers and game teams to establish analytical requirements and measurement approaches before new features or initiatives are launched. * Collaborate with Data Engineers to ...

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All JobsNew Grad Data Analyst JobsNew Grad Data Analyst Jobs in Missouri

New Grad Data Analyst information

What is a new grad data analyst?

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 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 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 popular job titles related to New Grad Data Analyst jobs in Missouri?

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

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:

New Grad Data Analyst jobs near you
Infographic showing various New Grad Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Analyst

Jobgether

On-site

Full-time

Posted 27 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 is a senior analytics opportunity at the intersection of blockchain data, business intelligence, and product strategy. You will analyze on-chain activity and ecosystem dynamics to uncover insights that influence strategic and commercial decisions. Working closely with strategy, business development, product, and ecosystem teams, you will turn complex datasets into clear, actionable recommendations. Your work will span DeFi, payments, stablecoins, trading, AI infrastructure, and other emerging blockchain use cases. You will build analytical frameworks, monitor competitive ecosystems, evaluate growth initiatives, and develop dashboards that support both internal decision-making and ecosystem transparency. The role offers the opportunity to work in a highly data-driven, fast-moving environment where your analysis can directly shape ecosystem growth.

Accountabilities
  • Analyze on-chain activity using platforms such as Dune Analytics, Flipside, or direct blockchain node/RPC access to track metrics including TVL, DEX volume, wallet behavior, liquidity dynamics, and protocol health.
  • Profile key ecosystem participants, including whales, market makers, liquidity providers, and other influential actors, identifying behavioral patterns relevant to strategy and business development.
  • Monitor competing blockchain ecosystems, cross-chain capital flows, user migration, and broader market dynamics.
  • Conduct specialized analyses covering MEV, arbitrage, trading infrastructure, and other emerging areas of blockchain activity.
  • Perform in-depth business and market research across areas such as AMMs, lending, stablecoins, staking, payments, and other decentralized financial applications.
  • Develop analytical frameworks to benchmark protocols and ecosystem initiatives against competitors and industry trends.
  • Support evaluations of new protocol integrations, incentive programs, grants, and tokenomics initiatives through quantitative analysis and data-driven recommendations.
  • Define, monitor, and report KPIs across key product and ecosystem verticals, including AI agents, payments, trading, stablecoins, and privacy.
  • Analyze developer and user acquisition funnels, retention, engagement, and ecosystem growth metrics.
  • Measure the effectiveness of ecosystem programs such as incentives, grants, and hackathons, producing clear post-mortem analyses and recommendations.
  • Build and maintain dashboards using tools such as Dune, Grafana, or equivalent platforms for leadership reporting and ecosystem transparency.
  • Translate complex on-chain, product, and business data into concise analytical briefs and actionable insights for technical and non-technical stakeholders.
  • Collaborate closely with business development, solutions architecture, product, marketing, strategy, and ecosystem teams to ensure data directly supports key decisions.
Requirements
  • 3-5 years of professional experience in data analytics, ideally within crypto, Web3, fintech, or another data-intensive technology environment.
  • Advanced SQL skills and hands-on experience with Dune Analytics, Flipside, or comparable blockchain analytics platforms.
  • Working knowledge of Python, particularly pandas, data wrangling, analysis, and basic data visualization or automation.
  • Strong understanding of DeFi concepts, including AMMs, lending protocols, liquidity provision, tokenomics, and MEV.
  • Ability to interpret smart contract interactions, transaction traces, wallet-level activity, and other blockchain datasets.
  • Strong analytical thinking and the ability to transform large or complex datasets into meaningful business insights.
  • Excellent written communication skills, with the ability to produce concise analytical memos, reports, dashboards, and executive-level briefings.
  • Ability to work effectively with cross-functional teams and translate analytical findings into practical recommendations.
  • Familiarity with advanced DeFi concepts such as CLMM/DLMM pool mechanics, staking architectures, and cross-chain bridging is a plus.
  • Exposure to MEV analysis, builder and validator market structures, or DEX arbitrage tracking is advantageous.
  • Experience with dashboarding or BI tools such as Grafana, Tableau, Metabase, or similar platforms is beneficial.
  • Previous experience at an L1/L2 blockchain organization, DeFi protocol, crypto research firm, fintech company, or comparable environment is a strong advantage.
Benefits
  • Opportunity to work at the intersection of blockchain analytics, product intelligence, and business strategy.
  • Exposure to a highly active and rapidly evolving Web3 ecosystem spanning DeFi, payments, stablecoins, trading, AI infrastructure, and other emerging technologies.
  • Direct collaboration with strategy, business development, product, ecosystem, and other cross-functional teams.
  • Opportunity to influence strategic decisions through data-driven research and analysis.
  • Hands-on experience working with on-chain data, blockchain analytics platforms, and advanced DeFi datasets.
  • Opportunity to build analytical frameworks and dashboards used to understand ecosystem performance and growth.
  • Fast-paced, international, and data-driven working environment.
  • Potential to contribute to high-impact initiatives across a large blockchain ecosystem.
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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