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Data Analyst No Experience Jobs in San Ramon, CA

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

Almost no one joins Harper for insurance; they join to build the company that replaces how it works ... Hands-on experience with funnel analysis, cohort analysis, attribution, and LTV/CAC modeling

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

Almost no one joins Harper for insurance; they join to build the company that replaces how it works ... Hands-on experience with funnel analysis, cohort analysis, attribution, and LTV/CAC modeling

Data Analyst

San Jose, CA · On-site

$80/hr

Hands-on experience with Snowflake. * Experience using Python for data analysis and automation. * Good understanding of Data Engineering concepts (ETL/ELT, data pipelines, data modeling, data ...

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive informed business decisions. You will work closely with cross-functional teams ...

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and metrics optimization. We will need you to assist in collecting data and putting it to practical use ...

Minimum Experience Requirements: * At least 1 year of hands-on experience in each of the following: * Querying in AWS data stores. * SQL proficiency. * Tableau expertise. * Data analysis techniques.

Data Analyst

San Francisco, CA · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Building on decades of experience and success, JVS is a data-driven organization that takes a whole ... The Role The Data Analyst is a core member of JVS's Evaluation and Impact team, responsible for ...

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning ... A master's degree is preferred. • Proficiency in SQL and experience working with large relational ...

Data Analyst

Vallejo, CA · On-site

$74K/yr

Proficiency in SQL and experience working with large relational databases (e.g., Oracle, MySQL, Microsoft SQL Server). Proven statistical analytical skills Familiarity with data warehousing concepts ...

Data Analyst

Vallejo, CA · On-site

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning ... A master's degree is preferred. • Proficiency in SQL and experience working with large relational ...

Data Analyst

San Francisco, CA · On-site

$190K - $270K/yr

Right now, the data that runs the business is scattered across a dozen systems that don't talk to ... You know the dashboard nobody uses is worse than no dashboard at all. * You have deep experience ...

The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in ... A master's degree is preferred. • Proficiency in SQL and experience working with large relational ...

Corralling the data needed for analysis by cleaning, linking, and structuring large datasets ... We value experience but also welcome aptitude and enthusiasm. * Education: Bachelor's or master ...

Data Analyst

San Jose, CA · On-site

$70K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Formed a data and analytics steering committee to establish data governance and standardize key performance * indicators (KPIs). * Led and managed a global team of business analysts and analytics ...

Corralling the data needed for analysis by cleaning, linking, and structuring large datasets ... We value experience but also welcome aptitude and enthusiasm. * Education: Bachelor's or master ...

Analytical and problem-solving skills Knowledge of statistics and mathematics Experience with ... Data analysts are responsible for gathering data from multiple sources, such as databases, APIs ...

Operations Data Analyst

Dublin, CA · On-site

$49.65 - $50/hr

The ideal candidate will have strong Excel, SAP, Power BI, and Power Apps experience and the ability to translate data into clear, actionable insights. Key Responsibilities * Manage data analysis ...

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Showing results 1-20

Data Analyst No Experience information

See San Ramon, CA salary details

$38K

$92.4K

$152K

How much do data analyst no experience jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analyst no experience in San Ramon, CA is $92,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $108,400.00 per year, depending on experience, location, and employer.

What does a data analyst with no experience do?

A data analyst collects, processes, and interprets data to help organizations make informed decisions. While many data analyst positions prefer candidates with experience, it is possible to start a career as a data analyst with no prior experience by learning relevant skills such as Excel, SQL, and data visualization tools, and by building a portfolio of projects. Entry-level roles or internships are great starting points, and many people transition into data analysis from other fields or after completing online courses and certifications.

Is it hard to get hired as a data analyst?

Getting hired as a data analyst with no experience can be challenging but is achievable with relevant skills such as Excel, SQL, and data visualization tools, along with certifications or coursework. Entry-level positions often require demonstrating analytical ability and a willingness to learn, but competition can be high depending on the job market and location.

What is the difference between Data Analyst No Experience vs Data Scientist?

AspectData Analyst No ExperienceData Scientist
Required CredentialsOften a bachelor's degree in related field; certifications like Microsoft Excel or SQL are commonTypically a master's degree or higher in data science, statistics, or related fields; advanced certifications
Work EnvironmentEntry-level roles in various industries, focusing on data collection, cleaning, and basic analysisMore advanced roles involving predictive modeling, machine learning, and complex data analysis
Employer & Industry UsageUsed across industries for reporting and basic analysisUsed in tech, finance, and research sectors for developing models and insights

In summary, Data Analyst No Experience roles are entry-level positions focusing on basic data tasks, while Data Scientists require advanced skills and education for complex analysis and modeling.

What are the key skills and qualifications needed to thrive as a data analyst with no experience?

To thrive as a Data Analyst with no experience, you need a solid understanding of statistics, data interpretation, and foundational knowledge of data analysis concepts, often supported by a relevant degree or coursework. Familiarity with tools like Microsoft Excel, SQL, and beginner-friendly data visualization platforms such as Tableau or Power BI is typically expected, and entry-level certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills help you translate data findings into actionable insights. These skills and qualities are crucial for ensuring accurate data analysis, clear reporting, and valuable contributions to data-driven decision-making.

What are the most commonly searched types of Data Analyst jobs in San Ramon, CA?

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

What job categories do people searching Data Analyst No Experience jobs in San Ramon, CA look for?

The top searched job categories for Data Analyst No Experience jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Data Analyst No Experience jobs?

Cities near San Ramon, CA with the most Data Analyst No Experience job openings:

Infographic showing various Data Analyst No Experience job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,352 per year, or $44.4 per hour.

Data Analyst

Harper Group

San Francisco, CA • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision

Re-posted 24 days ago


Job description

Data Analyst
Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance - we're rebuilding the entire business as software, on a simple bet: turning expert human judgment into compute is one of the largest transitions left to make, and a trillion-dollar industry still run 90% by hand is the place to prove it. We've grown ~100x in the last year and we move at that speed - on-site, in person, long days, very high standards. Almost no one joins Harper for insurance; they join to build the company that replaces how it works.
The role
Harper's GTM Engineer builds the data infrastructure. You're the one who tells us what it's saying. Every morning you'll wake up asking the same question: what does the data want us to do today? You sit closest to our Growth Marketing Lead, synthesizing signal from across every channel and turning it into clear, confident recommendations they can act on. You're not a report generator - you're an analytical partner who helps drive decisions, translating the noise into the two or three things that actually matter and helping the team move on them.
You're a growth-oriented data analyst who's as comfortable drawing a conclusion as you are running the query that supports it. You've worked closely with marketing or growth teams before - not as a data service desk, but as a real partner in the work. You know what good channel performance looks like, you understand the metrics that matter in paid acquisition, and you can translate a cohort analysis into a budget recommendation without anyone having to ask. You report to the Head of Marketing, work day-to-day alongside the Growth Marketing Lead, and collaborate closely with the GTM Engineer who owns the underlying data systems. Winning in 6-12 months looks like the growth team making better decisions faster because you're in the room.
What you'll do
  • Synthesize channel performance. Pull together data across paid, organic, and partner channels - and identify what's working, what's not, and what to do about it.
  • Partner with the Growth Marketing Lead. Serve as their analytical right hand; translate data outputs into clear recommendations they can act on in real time.
  • Own growth KPI reporting. Define, maintain, and communicate core marketing and funnel metrics so the team is always looking at the right numbers.
  • Build and maintain LTV/CAC analysis. Give leadership a clear, current picture of unit economics by channel, cohort, and customer segment.
  • Run experiment analysis. Evaluate A/B tests and campaign experiments - and turn results into decisions, not slide decks.
  • Surface what the data is asking for. Proactively flag trends, anomalies, and opportunities before anyone has to ask you to look.

Who you are
  • You've worked as an analytical partner to a marketing or growth team - not just supported them from a distance.
  • You can draw a clear conclusion from messy data and defend it in a room with people who will push back.
  • You think in recommendations, not just findings - you're not done until you've said "and therefore we should..."
  • You're fast: you can turn a question into an answer in hours, not days.
  • You understand paid acquisition channels well enough to have opinions about where the budget should go.
  • You thrive in a high-tempo environment where the questions change faster than the data does.
  • You're based in San Francisco or willing to relocate.

The reality - read this before you apply
This is a decision-driving seat, measured by the decisions your analysis changes - not dashboards shipped or tickets closed. It's on-site in San Francisco, in person, long days, high standards. The questions move fast and the data is messy, which means you'll be expected to draw a conclusion and stand behind it, often before the picture is fully clean. You're the analytical engine for the growth team, so when a number looks wrong or a channel turns, finding out why is yours - frequently the same day.
This is explicitly not a data service desk, and it isn't a place to produce reports no one acts on. Almost no one takes it for insurance - they take it because being the analytical right hand to a growth team at a company scaling ~100x, with a direct line from your recommendation to where the budget goes, is a rare seat. If being measured on decisions is the appeal, apply. If it's a deterrent, it won't get easier here.
Compensation & logistics
  • Salary: $140,000-$180,000, plus performance bonus and equity.
  • Location: On-site, San Francisco. Based here or willing to relocate.
  • Schedule: Monday-Friday, long days, in the building with the team.

Benefits
  • Uber commuter benefits
  • Meals provided - breakfast, lunch, and dinner
  • Snacks, drinks, and coffee stocked daily
  • Free gym membership
  • Health, dental, and vision insurance

Requirements
  • 4+ years of analytics experience with direct exposure to marketing, growth, or revenue teams
  • Strong SQL; Python proficiency preferred
  • Hands-on experience with funnel analysis, cohort analysis, attribution, and LTV/CAC modeling
  • Experience analyzing paid acquisition channel performance (Google, Meta, or comparable)
  • Proven ability to communicate analytical findings clearly to non-technical stakeholders and drive decisions
  • Experience partnering with a marketing or growth counterpart to act on data in real time - not just produce reports

Nice to have
  • Familiarity with PostHog, Mixpanel, Amplitude, or comparable product analytics platforms
  • Experience working alongside a data engineer or GTM engineer and understanding how data pipelines work
  • Background in insurance, fintech, or another industry with complex funnel and attribution dynamics
  • Exposure to AI-assisted analytics workflows and modern BI tooling
  • Experience in a high-growth startup environment where speed and adaptability were required

Process
  • People screen - fit and alignment
  • Lead screen - skills and judgment
  • Super day - how you operate in real time

To apply
Send your resume and an example of analysis you ran - what you recommended, and what the team did with it.