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Entry Level Financial Data Analyst Jobs in California

We provide innovative financial solutions through our Wealth Management, Capital Markets, Futures ... Our team is looking for a sharp Analyst who will support the Strategy and Data Analytics team. This ...

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... s operations, finance, and CRM salesforce) to gather, analyze and share qualitative and ...

Conduct data analysis, data integration, and data management * Identify and develop new data ... Experience in Finance or Accounting in the banking industry preferred. * Bachelor's Degree in ...

Conduct data analysis, data integration, and data management * Identify and develop new data ... Experience in Finance or Accounting in the banking industry preferred. * Bachelor's Degree in ...

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Entry Level Financial Data Analyst information

See California salary details

$34.5K

$84.3K

$140.1K

How much do entry level financial data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for entry level financial data analyst in California is $84,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $99,200.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Financial Data Analyst, you generally need strong analytical skills, a solid understanding of finance and statistics, and at least a bachelor's degree in finance, economics, or a related field. Proficiency with Excel, SQL, and data visualization tools like Tableau or Power BI is commonly required, and knowledge of programming languages such as Python or R is advantageous. Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help you interpret data accurately and present findings clearly. These skills and qualities enable analysts to deliver actionable insights, support business decisions, and contribute to the organization’s financial success.

What are typical challenges faced by entry-level financial data analysts when transitioning from academic work to professional environments?

Entry-level financial data analysts often encounter challenges such as adjusting to fast-paced environments, working with large and sometimes unstructured datasets, and adhering to strict deadlines. Unlike academic projects, professional analysis frequently requires collaboration with cross-functional teams, which means communicating complex findings to non-technical stakeholders. Additionally, learning to use industry-standard tools and adapting to the company's data reporting processes can take time, but support from managers and team members helps ease this transition.

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

AspectEntry Level Financial Data AnalystFinancial Analyst
Required CredentialsBachelor's degree in finance, accounting, or related field; basic Excel and data analysis skillsBachelor's degree; often requires 1-3 years of experience; advanced Excel, financial modeling, and possibly certifications like CFA
Work EnvironmentEntry-level roles in finance departments, data teams, or consulting firms; focus on data collection and reportingMore analytical responsibilities, strategic planning, and decision support in finance departments or investment firms
Employer & Industry UsageCommon in finance, banking, and corporate sectors for entry-level data tasksUsed across finance, investment banking, asset management, and corporate finance for analysis and forecasting

In summary, an Entry Level Financial Data Analyst focuses on data collection and basic analysis with minimal experience, while a Financial Analyst typically has more experience and handles complex financial modeling and strategic analysis.

What does an Entry Level Financial Data Analyst do?

An Entry Level Financial Data Analyst is responsible for collecting, processing, and analyzing financial data to help organizations make informed business decisions. They typically work with large datasets, prepare reports, and use statistical tools to identify trends and patterns. Their work supports budgeting, forecasting, and investment strategies, often under the supervision of senior analysts. This role is a great starting point for those interested in finance and data analysis, providing valuable experience with analytical software and financial modeling.
What are the most commonly searched types of Financial Data Analyst jobs in California? The most popular types of Financial Data Analyst jobs in California are:
What are popular job titles related to Entry Level Financial Data Analyst jobs in California? For Entry Level Financial Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Financial Data Analyst jobs in California look for? The top searched job categories for Entry Level Financial Data Analyst jobs in California are:
What cities in California are hiring for Entry Level Financial Data Analyst jobs? Cities in California with the most Entry Level Financial Data Analyst job openings:
Infographic showing various Entry Level Financial Data Analyst job openings in California as of June 2026, with employment types broken down into 3% As Needed, 64% Full Time, 22% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,340 per year, or $40.5 per hour.

Water Utility Financial Data Analyst (70.26)

American States Water Company

San Dimas, CA • On-site

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Golden State Water Company is one of the largest investor-owned water utilities in the United States. We deliver quality, reliable water to more than 1 million people in over 80 communities throughout California. Golden State Water has been in business for more than 90 years because we put customers first.
POSITION DESCRIPTION
The Water Utility Financial Data Analyst (Analyst) transforms raw financial and operational data into actionable insights to drive business strategy and performance. This role requires a blend of financial expertise, technical data analysis skills, and business acumen to support forecasting, budgeting, profitability analysis, and decision-making. The ideal candidate will be proficient in data manipulation, statistical analysis, and financial modeling, with the ability to communicate findings effectively to both financial and non-financial stakeholders.
The Analyst collaborates with key GSWC stakeholders to understand business objectives, identify analytical needs, and develop business intelligence deliverables that assess performance against goals.
Accountability
The Analyst reports to the Operation Financial Analyst Supervisor and works closely with a number of stakeholders and executive leaders across GSWC. The Analyst also works in an environment that includes sensitive and confidential data and information; therefore, the Analyst must have the ability to achieve policy objectives related to data and information control and governance, including accountability for confidentiality of information. The incumbent in this position must work independently, exercise initiative and judgment in the performance of a broad range of responsibilities, including the ability to communicate with a diverse group of employees, executives and external consultants, to ensure understanding of P&A goals, objectives and organizational policies and procedures.
Essential Duties and Responsibilities
• Collaborates with the Operation Financial Analyst Supervisor to develop and execute a comprehensive analytics and business intelligence strategy for GSWC
• Extracts, cleanses and validates financial data from multiple sources (ERP systems, accounting software, CRM, data warehouse, external databases)
• Conducts robust analysis to identify gaps, trends, and patterns, providing actionable insights for strategic decision-making
• Applies advanced techniques in large-scale data compilation and mining to uncover meaningful patterns in accounting and operational data
• Ensures data integrity by identifying and resolving discrepancies, missing entries, or anomalies
• Develops and maintains lookup and mapping tables to ensure data consistency and accuracy across various datasets
• Utilizes relational database management skills, adhering to data quality, security, and governance standards
• Develops, designs, and refines key business metrics to evaluate Water Utility Group performance
• Creates interactive dashboards (PowerBI, Tableau, Excel) to visualize KPIs, trends and business performance
• Automates and streamlines financial reporting using tools like Excel, SQL, Python, or BI platforms
• Collaborates with end users to enhance the data management and analytical infrastructure
• Conducts Data Quality analysis to ensure accuracy and reliability of data used for decision-making
• Performs complex troubleshooting, root-cause analysis, and solution development to address challenges, and enhance system efficiency
• Facilitates the integration of business processes, people, and relevant technology to deliver actionable insights.
• Assists in the development of the General Rate Case in close coordination with others by providing relevant financial reports and other supporting documents, ensuring compliance with Generally Accepted Accounting Principles (GAAP) and Sarbanes Oxley requirements, in accordance with the Uniform System of Accounting and data security standards for water utility
• Performs other duties as assigned
MINIMUM POSITION QUALIFICATIONS:
Education and Experience
• Bachelor's degree in applied Math, Computer Science, Finance or related discipline
• 6+ years of progressive experience in areas related to data management and financial accounting
• Proven experience as a Data Analyst or in a similar role preferred
Technical Skills
• Advance Excel (Pivot Tables, Power Query, VBA, complex formulas)
• Proficiency in database analysis and programming tools (SQL, Python, R., ETL, Azure, Power Platform) preferred
• Experience with data visualization tools (example PowerBI, Tableau) preferred
Key Competencies
• Strong analytical, quantitative and problem-solving abilities
• Detail oriented with a high degree of accuracy
• Ability to conduct research, analyze data, and resolve complex issues independently
• Proven ability to multi-task, meet tight deadlines, and thrive in fast-paced environment
• Critical thinking skills with minimal supervision required
• High level of discretion, maturity, and professionalism
• Excellent communication, presentation, and interpersonal skills
Qualities of a Successful Data Analyst
• Passion for empirical research data-driven decision making
• Trustworthy with strong personal integrity
• Accountable, disciplined, and results-driven
• Strong impact and Influencing skills
• Collaborative and team oriented
• Emotionally mature and professional
• High degree of initiative; a self-starter
May include but not limited to standing, climbing, walking, lifting, bending, pulling and/or pushing, grasping, reaching, stooping and crouching, sitting, typing, walking, reading, writing, color determination, speaking and listening for extended periods of time.
BENEFITS
Our Company supports our employees with rich benefit programs and resources to help them thrive today and prepare for tomorrow. Benefit options include medical, dental, and vision plans with the Company currently paying 85% of the monthly premium for employees and their eligible dependents. We also offer paid vacation and sick time and twelve Company paid holidays per year. To help our employees plan for the future, we offer both a 401(k) retirement plan as well as a Defined Contribution Profit Sharing retirement plan. Additional benefits include life, AD&D, and LTD insurance as well as health savings account and flexible spending plans.
COMPENSATION INFORMATION
The compensation range provided is in compliance with state specific laws. Multiple factors are used to determine the actual starting rate of pay for all of our positions, including specific skills, years of experience, education, certification(s), and other job related factors.
The responsibilities of this position will involve access to information that may be considered confidential, private and sensitive. Therefore, the individual filling this position will be required to both allow and pass a background check.
NOTE: Reasonable accommodations will be made to enable individuals with special needs to perform the essential functions.