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Data Analyst Graduate Jobs in California (NOW HIRING)

Analyze customer submissions, data, and results to understand desired changes to the machine ... You have a bachelor's or graduate degree in Computer Science or a related field, such as ...

Analyze customer submissions, data, and results to understand desired changes to the machine ... You have a bachelor's or graduate degree in Computer Science or a related field, such as ...

Role Objective The team works on keeping Maps Data current and reflective of real-world changes ... Graduate or equivalent experience. * Good communication skills in English and native local language.

Role Objective The team works on keeping Maps Data current and reflective of real-world changes ... Graduate or equivalent experience. * Good communication skills in English and native local language.

Intern - Graduate (business)

Poway, CA · On-site

$38K - $56K/yr

We have an exciting opportunity for a Graduate Intern with a field of study in Business Management, Finance / Accounting, Data Analytics or Business Analytics to join our team in Poway, California!

Showing results 41-60

Data Analyst Graduate information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst graduate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analyst graduate in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Graduate vs Data Analyst?

AspectData Analyst GraduateData Analyst
Required CredentialsTypically a bachelor's degree in a related field; some internships or entry-level certificationsOften requires a bachelor's degree; certifications like SQL, Excel, or Tableau are common
Work EnvironmentEntry-level, training-focused, often in corporate or consulting settingsFull-time professional role, working with teams on data projects in various industries
Employer & Industry UsageInternships, graduate programs, entry-level roles in finance, marketing, techEstablished roles across finance, healthcare, tech, retail, and more

The main difference is that a Data Analyst Graduate is an entry-level position or program for recent graduates, focusing on learning and development. A Data Analyst is a more experienced professional responsible for analyzing data, creating reports, and supporting decision-making in organizations.

What are some common challenges data analyst graduates face when transitioning from academic projects to real-world business data analysis?

One common challenge Data Analyst Graduates encounter is adapting to unstructured and messy real-world data, which often requires extensive cleaning and preprocessing before analysis can begin. Unlike academic datasets, business data may have inconsistencies, missing values, and complex relationships that require creative problem-solving. Additionally, graduates must learn to balance technical analysis with clear communication, translating insights into actionable recommendations for non-technical stakeholders. Collaborating effectively within cross-functional teams and managing tight deadlines are also key skills that take time to develop in a professional setting.

What is a data analyst graduate?

Data Analyst Graduates are individuals who have recently completed a degree or certification in data analysis, statistics, or a related field and are starting their careers in data analysis roles. They typically work with large sets of data to identify trends, generate reports, and provide actionable insights that help organizations make informed decisions. Data Analyst Graduates often use tools such as Excel, SQL, Python, or R to clean, analyze, and visualize data. Their work supports business strategies by uncovering patterns and solving real-world problems through data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst graduate?

To thrive as a Data Analyst Graduate, you need a solid understanding of statistics, data manipulation, and analytical methods, typically gained through a 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. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly are essential soft skills that set candidates apart. These skills and qualities are crucial for extracting actionable insights from data and effectively supporting business decision-making.
What are popular job titles related to Data Analyst Graduate jobs in California? For Data Analyst Graduate jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Analyst Graduate jobs in California look for? The top searched job categories for Data Analyst Graduate jobs in California are:
What cities in California are hiring for Data Analyst Graduate jobs? Cities in California with the most Data Analyst Graduate job openings:
Infographic showing various Data Analyst Graduate job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Engineer Graduate (Monetization Data) - 2027 Start

TikTok

San Jose, CA • On-site

$128K - $256K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 242 rated software companies


Job description

Responsibilities
The Monetization Data team builds the data foundation that powers TikTok's global advertising and monetization products. We design and operate large-scale batch and real-time data pipelines, data warehouses, and analytics platforms that help improve advertiser experience, measure business performance, support experimentation, and drive product and strategy decisions. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Key Responsibilities: - Design, build, and maintain scalable batch and real-time data pipelines to process large-scale user behavior, advertising, and monetization data. - Develop reliable data models, datasets, and metrics that support ads ranking, measurement, experimentation, business analytics, and strategic decision-making. - Partner with product managers, data scientists, analysts, and engineering teams to understand data needs, define success metrics, and deliver actionable insights. - Improve data quality, observability, latency, cost efficiency, and platform reliability across large-scale distributed systems. - Contribute to the evolution of big data infrastructure and computing platforms, including Spark, Flink, Hive, Kafka, and related internal systems.
Qualifications
Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's or Mster's degree in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or a related discipline. - Strong programming skills in at least one general-purpose language such as Python, Java or Go. - Strong SQL skills and understanding of relational databases, data modeling, or data warehousing concepts. - Familiarity with distributed data processing or storage systems such as Spark, Flink, Hadoop, Hive, Kafka, Presto/Trino, or similar technologies. - Strong problem-solving skills, data-driven thinking, and ability to use data to identify issues, form hypotheses, and validate solutions. - Ability to work collaboratively in a fast-paced, cross-functional engineering environment. Preferred Qualifications: - Internship, research, coursework, or project experience in data engineering, backend engineering, distributed systems, data analytics, or machine learning infrastructure. - Experience building ETL/ELT pipelines, workflow orchestration, data quality checks, dashboards, or analytical datasets. - Experience with advertising technology, recommendation systems, experimentation platforms, or user behavior data analysis. - Familiarity with cloud data platforms, lakehouse architectures, or modern data tools such as Airflow, dbt, Iceberg, Delta Lake, Snowflake, BigQuery, Redshift, or Databricks. - Experience using AI-assisted development tools, LLM applications, or agentic workflows to improve engineering productivity. - Contributions to open-source projects, technical communities, hackathons, or substantial personal projects. - Experience contributing to open-source projects and the community; candidates with experience in big data processing or user behavior data analysis is a plus but not required.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $128000 - $256000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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