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What is the difference between Entry Level Python Sql vs Data Analyst?

AspectEntry Level Python SqlData Analyst
Required SkillsPython, SQL, basic data manipulationExcel, SQL, data visualization, basic statistics
Work EnvironmentData teams, software development, database managementBusiness, marketing, finance departments
CertificationsPython, SQL certifications often preferredNone required but data analysis certifications helpful

Entry Level Python Sql roles focus on coding, database querying, and data manipulation, often within tech or software environments. Data Analysts work across various industries analyzing data, creating reports, and visualizations. While both roles require SQL and some programming knowledge, Data Analysts typically need stronger skills in data interpretation and visualization. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

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Entry Level Python Sql jobs near you
Data Analyst I

Data Analyst I

Brethren Mutual Insurance Company

Hagerstown, MD • On-site

$77.73K - $116.60K/yr

Full-time

Posted 21 days ago

Job description

Job Summary
Entry-level Data Analyst with strong SQL skills to support our insurance data and application systems. This role is ideal for a candidate who enjoys working with data, writing queries, and supporting business-critical insurance processes such as policy rating and administration. You will work closely with senior developers, analysts, and business users to ensure accurate, reliable, and compliant data solutions.
Key Responsibilities
  • Develops, tests, and optimizes SQL queries, views, and stored procedures
  • Contributes to data validation, reconciliation, and quality checks
  • Advises on less complicated data-related issues and production support requests
  • Participates in application enhancements that involve database changes
  • Documents database logic, queries, and data flows
  • Carries out data security, privacy, and insurance compliance standards

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience)
  • 2-4 Years of experience in a similar field
  • Strong foundational knowledge of SQL (SELECTs, JOINs, subqueries, aggregates)
  • Understanding of basic database concepts (tables, indexes, keys, normalization)
  • Familiarity with software development lifecycle (SDLC) concepts

Preferred Qualifications
  • Coursework, projects, or internships involving heavy SQL usage
  • Exposure to stored procedures, functions, and performance tuning
  • Basic programming experience in a language such as C#, Java, or Python
  • Experience with reporting tools or data analysis (Power BI, Excel)
  • Interest in insurance, financial services, or data-driven applications
  • Interest or experience in automation processes and tools, such as Power Automate
  • Familiarity with file transfer software, such as GoAnywhere

Soft Skills
  • Strong attention to detail and data accuracy
  • Analytical mindset with problem-solving skills
  • Ability to communicate technical information clearly
  • Comfortable working in a fast-paced environment, managing competing priorities
  • Willingness to learn insurance systems and business processes
  • Ability to learn and become proficient in vendor & proprietary software applications

What We Offer
  • Mentorship and training focused on SQL and insurance data systems
  • Hands-on experience with real insurance datasets and applications
  • Clear career path toward senior Software Developer, senior Data Analyst, or Database Developer roles
  • Competitive entry-level compensation and benefits

Apply