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Entry Level Data Analyst Jobs in Paramount, CA (NOW HIRING)

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Analyze large amounts of information to client trends and patterns * Classifier, Random Forest ... Good knowledge on Exploratory Data Analysis (EDA) * Hands on experience on platforms - Microsoft ...

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

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Job Title: Associate IT Services Engineer About Us Data Analysis Incorporated (DAI) is the ... This entry-level role helps ensure a smooth IT experience by supporting end-user computing devices ...

Data Coordinator

Compton, CA · On-site

$70K/yr

... of Data Analytics & Programs and plays a critical role in supporting subcontractor billing ... This is an entry-level, execution-focused role requiring strong attention to detail, consistent ...

Marketing Analyst

Cerritos, CA · On-site

$75K - $90K/yr

We are seeking a highly experienced and data-driven individual to join our advertising team as an ... This is not an entry-level position , but rather a role for an experienced hire. We are looking for ...

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Entry Level Data Analyst information

See Paramount, CA salary details

$13

$34

$65

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

As of Aug 12, 2026, the average hourly pay for entry level data analyst in Paramount, CA is $34.69, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $38.75 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Paramount, CA? The most popular types of Data Analyst jobs in Paramount, CA are:
What job categories do people searching Entry Level Data Analyst jobs in Paramount, CA look for? The top searched job categories for Entry Level Data Analyst jobs in Paramount, CA are:
What cities near Paramount, CA are hiring for Entry Level Data Analyst jobs? Cities near Paramount, CA with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Paramount, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 3% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,164 per year, or $34.7 per hour.

Entry Level Data Scientiest

SynergisticIT

Los Angeles, CA • On-site

$18 - $24/hr

Other

Re-posted 16 days ago


Job description

Job Title

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job Description

Good understanding of the below models:

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to client trends and patterns
  • Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
  • Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
  • Unsupervised/Clustering algorithms
  • NLP models, Deep Learning models for image classification
Desired Candidate Profile

Skills required:

  • Hands on experience Python scripting
  • Hands on experience in building Machine Learning and Artificial Intelligence models
  • Good knowledge on Exploratory Data Analysis (EDA)
  • Hands on experience on platforms - Microsoft Azure/Amazon Web Services
  • Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
  • Excellent English communication (both oral and written) and reading comprehension skills.
  • Strong analytical and problem-solving skills, with clear attention to detail.

Education Requirement:

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

  • On Job Technical support
  • E- verified
  • Filing of H1b and Green card
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you