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Entry Level Meteorological Data Analyst Jobs (NOW HIRING)

Spectrum Comm Inc

Deliver real-time weather forecasting and climatological analysis to support global combat ... Advanced proficiency in Microsoft Office Suite and meteorological data systems. * Demonstrated ...

Spectrum Comm Inc

Weather Forecaster

Sumter, SC

Deliver real-time weather forecasting and climatological analysis to support global combat ... Advanced proficiency in Microsoft Office Suite and meteorological data systems. * Demonstrated ...

Air National Guard Units

$61K - $79K/yr

Collecting, analyzing, interpreting, adjusting, and verifying atmospheric and other meteorological data to confirm and improve accuracy and efficacy. Education Substitution of Education for ...

Spectrum Comm Inc

Deliver real-time weather forecasting and climatological analysis to support global combat ... Advanced proficiency in Microsoft Office Suite and meteorological data systems. * Demonstrated ...

TheHomeMag

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Business Data Analyst (Entry Level)

Cape Coral, FL · On-site

$50K - $65K/yr

Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

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How much do entry level meteorological data analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for entry level meteorological data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Meteorological Data Analyst vs Entry Level Climate Data Analyst?

AspectEntry Level Meteorological Data AnalystEntry Level Climate Data Analyst
Required CredentialsBachelor's in Meteorology, Atmospheric Science, or related fieldBachelor's in Environmental Science, Climatology, or related field
Work EnvironmentWeather stations, research labs, government agenciesResearch institutions, environmental organizations, government agencies
Industry UsageWeather forecasting, aviation, agricultureClimate research, policy analysis, environmental planning

Both roles involve analyzing environmental data, but Meteorological Data Analysts focus on weather patterns and forecasting, while Climate Data Analysts concentrate on long-term climate trends. The credentials and work environments overlap, but their specific applications differ, guiding candidates to choose based on their interests in weather versus climate studies.

More about Entry Level Meteorological Data Analyst jobs
What cities are hiring for Entry Level Meteorological Data Analyst jobs? Cities with the most Entry Level Meteorological Data Analyst job openings:
What are the most commonly searched types of Meteorological Data Analyst jobs? The most popular types of Meteorological Data Analyst jobs are:
What job categories do people searching Entry Level Meteorological Data Analyst jobs look for? The top searched job categories for Entry Level Meteorological Data Analyst jobs are:
Entry Level Meteorological Data Analyst jobs near you
Infographic showing various Entry Level Meteorological Data Analyst job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 75% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Entry Level Operations Data Analyst

Benda Infotech

Chicago, IL

$77K - $82K/yr

Full-time

Posted 11 days ago

Job description

Role Summary

We are seeking an Entry Level Operations Data Analyst with strong analytical skills, attention to detail, and a problem-solving mindset. This role will support business operations and decision-making by transforming raw data into actionable insights. The Operations Data Analyst will work with large and complex data sets, develop reports and dashboards, and contribute to data quality, automation, and documentation initiatives across the organization.

Key Responsibilities
  • Interpret and analyze structured data using industry best practices to support operational and business needs
  • Identify trends, patterns, and anomalies in complex data sets and clearly communicate findings to stakeholders
  • Extract, cleanse, validate, and transform data from primary and secondary data sources
  • Design, develop, and maintain business intelligence dashboards and recurring operational reports
  • Support the development and execution of data strategies that improve data quality, consistency, and usability
  • Collaborate with operations, technology, and business teams to ensure accurate and reliable reporting
  • Prepare and maintain technical documentation, data definitions, and process documentation
  • Assist in identifying opportunities for process improvements and operational efficiencies through data analysis
Qualifications & RequirementsMinimum Qualifications
  • 0–2 years of hands-on experience in data analytics, reporting, operations support, or data automation
  • Experience preparing, blending, and analyzing data from multiple sources
  • Proficiency in:
    • Python, including data analysis libraries
    • SQL for querying relational databases
    • Power BI for dashboard development and data visualization
    • Microsoft Excel (Advanced), including formulas, pivot tables, and data modeling
  • Solid understanding of database concepts and data structures
  • Strong written and verbal communication skills, with the ability to translate analytical results into clear business insights
  • Demonstrated ability to manage multiple priorities, meet deadlines, and work effectively in a fast-paced environment
Preferred Qualifications
  • Internship, academic project, or professional experience in operations analytics, banking, financial services, or a highly regulated industry
  • Familiarity with data governance, data quality controls, or reporting concepts
  • Experience documenting workflows, business rules, and analytical methodologies
  • Exposure to automation or process improvement initiatives related to operations or analytics
  • Ability to collaborate effectively with both technical and non-technical stakeholders