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

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Our client, a Private Equity firm is looking to hire an entry level investment professional to join ... Mine data, create charts, and analyze trends. Candidates should have an excellent knowledge of ...

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Consulting Analyst 2027

Los Angeles, CA · On-site +1

$90K - $100K/yr

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Learn more about Qvest & our entry level opportunities on our Campus Recruitment Microsite! Who We ...

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... * Entry-level or early-career experience (typically 0-2 years) in Software Quality Assurance, Quality Engineering, Software Engineering, testing, audit support, data analysis, scripting, automation ...

... * Entry-level or early-career experience (typically 0-2 years) in Software Quality Assurance, Quality Engineering, Software Engineering, testing, audit support, data analysis, scripting, automation ...

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Entry Level Data Analyst information

See Montclair, CA salary details

$13

$33

$62

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

As of Aug 20, 2026, the average hourly pay for entry level data analyst in Montclair, CA is $33.25, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.12 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 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 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 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 the most commonly searched types of Data Analyst jobs in Montclair, CA?

The most popular types of Data Analyst jobs in Montclair, CA are:

What cities near Montclair, CA are hiring for Entry Level Data Analyst jobs?

Cities near Montclair, CA with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Montclair, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,151 per year, or $33.2 per hour.

FP&A Analyst

Aspire General Insurance Company

Rancho Cucamonga, CA • On-site

$80K - $95K/yr

Full-time

Re-posted 28 days ago


Job description

Description:

Aspire General Insurance Company and its affiliated general agent, Aspire General Insurance Services, are on a mission to deliver affordable specialty auto coverage to drivers without compromising outstanding service.

Our company values can best be described with ABLE: to always do the right thing, be yourself, learn and evolve, and execute. Join our team where every individual takes pride in driving their role for shared success.


As a Financial Analyst reporting to the FP&A Manager, you will play a key role in supporting financial planning, forecasting, and performance analysis across the organization. This is a hands-on, analytically rigorous position offering exposure to core financial processes, senior stakeholders, and cross-functional partners.

You will contribute to budgeting and forecasting cycles, develop and maintain financial models, and translate accounting and operational data into clear, actionable insights. Success in this role requires strong analytical skills, intellectual curiosity, attention to detail, and a willingness to take ownership in a fast-paced environment.


Responsibilities

· Analyze historical and current financial data to assess performance and understand key business drivers

· Monitor actual results against budget and forecast, identifying and explaining key variances and trends

· Support monthly and quarterly forecasting processes, including data collection, validation, and consolidation

· Build, maintain, and enhance financial models to support forecasting and business decision-making

· Prepare recurring and ad hoc financial reports and presentations for management review

· Assist in the development, tracking, and analysis of key performance indicators (KPIs) and benchmarks

· Analyze financial and operational processes to identify risks, trends, and opportunities for improvement

· Support operating and capital expenditure tracking and related financial reporting

· Work with financial systems, databases, and data warehouses to extract, validate, and transform data

· Partner with senior FP&A team members and cross-functional stakeholders to support planning and analysis initiatives

· Contribute to the continuous improvement and automation of financial reporting and planning tools

Requirements:

Skills & Qualifications

· Bachelor’s degree in Finance, Accounting, Economics, Statistics, or a related field

· Progress toward CFA, CPA, or an advanced degree preferred

· 1-3 years of financial analysis experience preferred; strong entry-level candidates will be considered

· Property & casualty insurance experience a plus

· Strong understanding of Generally Accepted Accounting Principles (GAAP) and Statutory Accounting Principles (STAT)

· Demonstrated ability to analyze and interpret financial statements and key performance drivers

· Experience supporting budgeting, forecasting, and variance analysis activities

· Advanced proficiency in Excel and PowerPoint, including financial modeling and presentation development

· Ability to work with large datasets and perform detailed analytical reviews

· Familiarity with financial systems and planning tools; Workday and Adaptive Planning experience preferred

· Detail-oriented, dependable, and proactive in identifying issues and recommending solutions

· Strong written and verbal communication skills, with the ability to clearly explain analyses and results

· Strong organizational skills and ability to manage multiple priorities and deadlines in a fast-paced environment

· Experience supporting state expansion or regulatory-driven initiatives in the property & casualty insurance industry preferred


Individuals seeking employment at Aspire General Insurance Services LLC are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation in accordance with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.


*Dependent on plan selected