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Entry Level Database Analyst Jobs in Philadelphia, PA

Ethos Risk Services

Entry-Level Investigator

Lansdowne, PA · On-site

$43K - $53K/yr

Our Full-Time Entry-Level Field Investigator position will help launch your career by providing you ... Conduct preliminary investigations using social media and analyzing database research. * Field ...

Pwc

Data Engineer - Senior Associate

Philadelphia, PA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsDatabase Analyst JobsEntry Level Database Analyst JobsEntry Level Database Analyst Jobs in Philadelphia, PA

Entry Level Database Analyst information

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How much do entry level database analyst jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for entry level database analyst in Philadelphia, PA is $31.47, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $35.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Database Analyst, and why are they important?

To thrive as an Entry Level Database Analyst, you need a solid understanding of database fundamentals, SQL querying, and data modeling, typically supported by a relevant degree in computer science or information systems. Familiarity with database management systems like MySQL, Oracle, or SQL Server and basic data visualization or reporting tools is commonly required. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies enable accurate data management, facilitate clear reporting, and support teamwork in ensuring data-driven decision-making.

What are entry level database analysts?

Entry level database analysts are professionals who help manage, organize, and analyze data within a company's database systems. They are responsible for ensuring data integrity, running queries, generating reports, and assisting with the maintenance and improvement of databases under the guidance of senior staff. These roles typically require foundational knowledge of database management systems, SQL, and data analysis techniques, as well as attention to detail and problem-solving skills. Entry level database analysts often work closely with IT teams and business units to support data-driven decision making.

What are some common challenges faced by entry level database analysts, and how can they overcome them?

Entry level database analysts often encounter challenges such as understanding complex database structures, managing large volumes of data, and ensuring data accuracy. Adapting to new database technologies and learning to write efficient queries can also be initially daunting. To overcome these challenges, analysts should seek mentorship from senior team members, utilize online training resources, and actively participate in team meetings to gain practical insights. Regular practice with real datasets and staying updated with industry-standard tools will also build confidence and expertise over time.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data management, Excel, and SQL. These roles often serve as starting points for developing expertise in data analysis, reporting, and visualization tools like Tableau or Power BI.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior experience, but having skills in SQL, Excel, and data visualization tools can improve your chances. Employers may consider candidates with relevant coursework, certifications, or internships. Demonstrating analytical skills and a willingness to learn can help you qualify for such roles.

How to get a job as a data analyst with no experience?

Entry-level data analyst positions often require foundational skills in SQL, Excel, and data visualization tools like Tableau or Power BI. Gaining relevant certifications, completing online courses, and building a portfolio with sample projects can improve your chances, even without prior work experience.

Is 40 too late for data science?

Entry level database analysts and data science roles often value skills and experience over age. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL and Python, making age less of a barrier. Continuous learning and certifications can help improve job prospects regardless of age.
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Entry Level Database Analyst jobs near you
Infographic showing various Entry Level Database Analyst job openings in Philadelphia, PA as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $65,455 per year, or $31.5 per hour.

Entry Level Business Analyst

Data Cloud Merge

Philadelphia, PA

Full-time

Re-posted 10 days ago

Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Work with the analytics team to develop an activity-based costing model for providing trends, forecasts, and cost-reducing actions.
  • Process flowcharts included requests for new processes or changes to existing processes and further creating and maintaining comprehensive project documentation.
  • Create and maintain reports/dashboards/data/metrics used to measure and ensure success.
  • Assist and produce standard reports, charts, graphs, and tables from a structured data source by querying data repositories using Python and SQL.
  • Validate Data to check for the proper conversion of the data. Data cleansing to identify unnecessary data and clean, data profiling for accuracy and consistency.
Qualifications
  • Masters or Bachelors in Information Systems, Engineering Management, Analytics, Computer Science, or related.
  • Proficient in managing the entire project life cycle including Data Acquisition, Data Preparation, Data Manipulation, Statistical Modelling, Testing and Validation, Visualization, and Reporting.
  • Solid understanding of statistical analysis, predictive analytics, machine learning, data mining, quantitative analytics, and optimization algorithms.
  • Advanced working SQL knowledge and experience working with relational databases and Python.
Additional Information

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