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Entry Level Urban Data Analytics Jobs (NOW HIRING)

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

... of Urban environments, Narrow and hilly roads, Tunnels, bridges, sharp, curvature and Varied ... Data Analytics & Safety Evaluation Analyze human-driving vs. AD system driving behavior. Support ...

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Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are ... build a career in data analytics within a collaborative, fast-paced environment. Key ...

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Entry Level Urban Data Analytics information

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How much do entry level urban data analytics jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for entry level urban data analytics in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Urban Data Analytics vs Entry Level Geographic Information Systems (GIS) Technician?

AspectEntry Level Urban Data AnalyticsEntry Level Geographic Information Systems (GIS) Technician
Required CredentialsBachelor's in Urban Planning, Data Science, or related field; basic knowledge of data analysis toolsBachelor's in Geography, GIS, or related field; familiarity with GIS software
Work EnvironmentUrban planning agencies, consulting firms, government departmentsMunicipalities, environmental agencies, mapping companies
Employer & Industry UsageUsed for analyzing urban trends, transportation, and infrastructure planningUsed for mapping, spatial data management, and geographic analysis

Entry Level Urban Data Analytics focuses on analyzing urban data to inform planning and policy, often involving data visualization and statistical tools. In contrast, Entry Level GIS Technicians primarily handle spatial data management and mapping tasks. Both roles require related skills and work environments but serve different core functions within urban and geographic sectors.

What cities are hiring for Entry Level Urban Data Analytics jobs? Cities with the most Entry Level Urban Data Analytics job openings:
What are the most commonly searched types of Urban Data Analytics jobs? The most popular types of Urban Data Analytics jobs are:
What states have the most Entry Level Urban Data Analytics jobs? States with the most job openings for Entry Level Urban Data Analytics jobs include:

Entry Level Operations Data Analyst

Benda Infotech

Chicago, IL

$77K - $82K/yr

Full-time

Posted 9 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