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Entry Level Portfolio Analyst Jobs (NOW HIRING)

The Financial Analyst is an entry level role that supports Everwise by analyzing and reporting on the performance of consumer, mortgage, and commercial loan portfolios. This position helps monitor ...

The Financial Analyst is an entry level role that supports Everwise by analyzing and reporting on the performance of consumer, mortgage, and commercial loan portfolios. This position helps monitor ...

The Financial Analyst is an entry level role that supports Everwise by analyzing and reporting on the performance of consumer, mortgage, and commercial loan portfolios. This position helps monitor ...

Through 16 years of continued investment in technology, data analytics, and innovative marketing ... Possesses exceptional organizational skills Minimum Qualifications: * Entry-level portfolio or ...

Credit Analyst I

Irvine, CA · On-site

$25.93 - $41.43/hr

The Credit Analyst is an entry-level position responsible for supporting credit analysis and portfolio management activities. This role involves assisting with credit underwriting and portfolio ...

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Entry Level Portfolio Analyst information

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

As of Jul 14, 2026, the average hourly pay for entry level portfolio analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Portfolio Analyst, you need strong analytical skills, attention to detail, and a bachelor's degree in finance, economics, or a related field. Familiarity with financial modeling, Excel, Bloomberg Terminal, and performance measurement systems is typically required. Effective communication, teamwork, and a proactive attitude help distinguish top candidates in this field. These skills are crucial for accurately evaluating investment portfolios, supporting decision-making, and ensuring precise reporting for clients and stakeholders.

What are Entry Level Portfolio Analysts?

Entry Level Portfolio Analysts are professionals who help manage and analyze investment portfolios for organizations or clients. They typically assist more senior analysts by researching financial data, tracking market trends, preparing reports, and recommending adjustments to investment strategies. Their role involves using quantitative and qualitative skills to support investment decisions and ensure portfolios align with clients’ goals and risk tolerances. This entry-level position is a common starting point for a career in finance or asset management, offering opportunities to develop expertise in investments and financial analysis.

What is the difference between Entry Level Portfolio Analyst vs Junior Investment Analyst?

AspectEntry Level Portfolio AnalystJunior Investment Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; internships preferredBachelor's degree in finance, economics, or related field; internships often required
Work EnvironmentFinancial firms, asset management companies, banksInvestment firms, asset management companies, banks
Employer & Industry UsageCommonly used in asset management and investment firmsSimilar usage, often interchangeable in entry-level roles
Comparison FocusFocuses on supporting portfolio management and analysisEmphasizes research and analysis of investment opportunities

Both roles are entry-level positions in finance, requiring similar educational backgrounds and working in comparable environments. The main difference lies in their focus: Entry Level Portfolio Analysts primarily support portfolio management activities, while Junior Investment Analysts concentrate on researching investment options. These roles often overlap and are used interchangeably depending on the company.

What are some common challenges faced by entry level portfolio analysts, and how can they be addressed?

Entry level portfolio analysts often encounter challenges such as quickly learning complex financial modeling tools, managing large datasets, and adapting to fast-paced decision-making environments. To address these, new analysts benefit from proactively seeking mentorship from senior team members, participating in ongoing training sessions, and developing strong organizational skills to handle multiple tasks efficiently. Emphasizing communication and collaboration with both portfolio managers and fellow analysts also helps in understanding expectations and improving analytical outcomes.
More about Entry Level Portfolio Analyst jobs
What cities are hiring for Entry Level Portfolio Analyst jobs? Cities with the most Entry Level Portfolio Analyst job openings:
What are the most commonly searched types of Portfolio Analyst jobs? The most popular types of Portfolio Analyst jobs are:
What states have the most Entry Level Portfolio Analyst jobs? States with the most job openings for Entry Level Portfolio Analyst jobs include:
Infographic showing various Entry Level Portfolio Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.
Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Durham, NC • On-site

Other

Posted 11 days ago


Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.