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New Grad Data Analyst Jobs in San Ramon, CA (NOW HIRING)

Meter, Inc

Data Analyst

San Francisco, CA · On-site

$190K - $270K/yr

Thursday is deeper IC work: designing the schema for a new partner data source. Friday you're ... You've been the analytical partner inside a GTM function - not just the analyst who delivered ...

Numeral, Inc.

Data Analyst

San Francisco, CA · On-site

$55K - $120K/yr

... NY offices, but do hire remotely in some cases What you'll do: * Reconcile financial and ... Normalize customer data across platforms (e.g. Stripe, Shopify, Numeral API) to ensure integrity in ...

MW Partner

Data Analyst 3

San Francisco, CA · On-site

This role is crucial for auditing, organizing, and optimizing our data sources, as well as developing new reports and dashboards to support various teams. The Data Analyst will work closely with ...

Foxglove

Software Engineer, New Grad

San Francisco, CA · On-site

They are seeking a new grad software engineer to help build the foundational tooling that robotics ... and analytics data • Working across multi-cloud environments (GCP, AWS, Azure), including ...

Compunnel

Data Analyst - IV

San Francisco, CA · On-site

... new releases, addressing both technical and user issues. • Consult on application testing ... data analyst. • HANDS-ON Experience with Pyspark/Python, including scripting, automation ...

Verdantas

Data Analyst I

San Ramon, CA

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data ... Paid Time Off + Holidays Verdantas strives to develop new ways to increase diversity awareness ...

Verdantas

Data Analyst I

San Ramon, CA · On-site

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data ... Paid Time Off + Holidays Verdantas strives to develop new ways to increase diversity awareness ...

Poshmark

Sr. Data Analyst

Redwood City, CA · On-site

$108K - $180K/yr

Develop new or improve existing key metrics and performance indicators to evaluate business ... Mentor teammates and data analysts on the team. Requirements: * 2-5 years of analytics experience.

Collective Health

Lead Data Analyst

San Francisco, CA · Hybrid

As a Lead Data Analyst , you will be the primary technical lead for our most significant clients ... Proven track record of mastering new data environments and complex healthcare schemas with minimal ...

Collective Health

Lead Data Analyst

San Francisco, CA · On-site

As a Lead Data Analyst , you will be the primary technical lead for our most significant clients ... Proven track record of mastering new data environments and complex healthcare schemas with minimal ...

Navan

Senior Data Analyst

Palo Alto, CA

$101K - $127K/yr

As one of our Senior Data Analysts of our Global Data team, you will work closely with the expense ... Demonstrated eagerness to acquire new technological skills and problem-solving abilities

Forge Global

Senior Data Analyst

San Francisco, CA

$98K - $100K/yr

We are looking to hire a Senior Data Analyst to join our Analytics team. In this role, you will ... You will design and execute experiments, build new datasets, automate reporting, develop predictive ...

New

Navan

Senior Data Analyst

Palo Alto, CA · On-site

$105K - $234K/yr

As one of our Senior Data Analysts of our Global Data team, you will work closely with the expense ... Demonstrated eagerness to acquire new technological skills and problem-solving abilities

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All JobsNew Grad Data Analyst JobsNew Grad Data Analyst Jobs in San Ramon, CA

New Grad Data Analyst information

See San Ramon, CA salary details

$38K

$92.4K

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How much do new grad data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for new grad data analyst 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.

Is 30 too late for data science?

For a New Grad Data Analyst, starting a career in data science at age 30 is not too late. Many professionals transition into data science later in life, and acquiring skills in programming, statistics, and tools like Python or R can facilitate entry regardless of age.

What is a New Grad Data Analyst job?

A New Grad Data Analyst is an entry-level role for recent graduates who analyze data to help organizations make informed decisions. They work with datasets, clean and visualize data, and generate insights using tools like SQL, Python, Excel, and Tableau. These analysts collaborate with teams to solve business problems and improve processes. The role provides opportunities to develop technical skills and gain experience in data-driven decision-making.

What are the key skills and qualifications needed to thrive in the New Grad Data Analyst position, and why are they important?

To thrive as a New Grad Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, usually supported by a degree in a quantitative field. Familiarity with technical tools like SQL, Excel, Python or R, and data visualization software such as Tableau or Power BI is highly valued. Strong communication skills, attention to detail, and a proactive willingness to learn help new grads excel in collaborative, data-driven environments. These skills are crucial because they enable you to effectively turn data into actionable insights and contribute to informed business decisions.

How do you become a data analyst with no experience?

To become a new grad data analyst with no experience, focus on developing skills in data analysis tools like Excel, SQL, and Python, and build a portfolio of projects to demonstrate your abilities. Completing relevant coursework, certifications, or internships can also help establish your qualifications for entry-level roles.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the need for data analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge, which currently require human judgment and expertise. Skills in tools like SQL, Excel, and data visualization remain important for the role.

What are the typical daily responsibilities for a New Grad Data Analyst?

As a New Grad Data Analyst, your daily responsibilities may include gathering and cleaning raw data, running analyses to identify trends or patterns, and generating reports or dashboards to share your findings. You’ll often work closely with other analysts, team leads, or business stakeholders to understand their data needs and help translate business questions into analytical solutions. Expect regular collaboration in meetings, presentations of your insights, and the opportunity to get hands-on practice with various data tools. Over time, you may also participate in larger projects or support process improvements based on your analyses.

What jobs pay 200,000 a year in the USA?

For a New Grad Data Analyst, reaching a $200,000 annual salary typically requires several years of experience, advanced skills in data modeling, machine learning, or analytics tools, and often a role in high-paying industries like finance, technology, or consulting. Entry-level positions usually start lower, but with career progression, specialization, and sometimes additional certifications, higher salaries become attainable.
What are popular job titles related to New Grad Data Analyst jobs in San Ramon, CA? For New Grad Data Analyst jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching New Grad Data Analyst jobs in San Ramon, CA look for? The top searched job categories for New Grad Data Analyst jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for New Grad Data Analyst jobs? Cities near San Ramon, CA with the most New Grad Data Analyst job openings:
New Grad Data Analyst jobs near you
Infographic showing various New Grad Data Analyst job openings in San Ramon, CA as of June 2026, with employment types broken down into 71% Full Time, and 29% Temporary. Highlights an 100% In-person job distribution, with an average salary of $92,352 per year, or $44.4 per hour.
Data Analyst

Data Analyst

Meter, Inc

San Francisco, CA • On-site

$190K - $270K/yr

Full-time

Posted 3 days ago

Job description

Meter sells networks the way utilities sell power: as something that just works. Behind that promise is a business growing fast across enterprise customers, multi-site deployments, and a partner ecosystem.
Right now, the data that runs the business is scattered across a dozen systems that don't talk to each other. This role fixes that.
Why this role matters
Every important decision at Meter - where to spend marketing dollars, which accounts to prioritize, how to forecast next quarter - is only as good as the data underneath it. Today, that data is fragmented across Salesforce, HubSpot, Stripe, ad platforms, partner systems, and product telemetry, and every team rebuilds its own version of the truth. We need one person to own the layer that turns those signals into something the company can actually run on.
What you'll do in your first six months
  • Ship canonical dbt models for accounts, opportunities, marketing touches, and revenue that finance, sales, and marketing all use - replacing the four versions of "ARR by segment" floating around today.
  • Cut the time it takes the marketing team to answer "is this channel working" from a week of manual reconciliation to a query.
  • Build the attribution and funnel layer that lets us actually compare the cost of acquiring a customer through partners versus paid versus outbound.
  • Become the person GTM leadership goes to when they don't trust a number - and the person whose work makes that question rarer over time.

What you'll do in your first year
While you're picking up quick wins, the first few months are about laying the foundation. The next are about using it.
You'll embed with finance during forecasting cycles and with marketing during budget planning. You'll be in the room when sales leadership is debating territory coverage. The business models you built in month four will be the substrate for an attribution rebuild in month nine. By the end of year one, you'll have set the standard for analytical rigor at Meter; the bar that the next five analysts we hire will be measured against.
What a typical week looks like
Monday morning you're pairing with a marketing lead on why their LinkedIn spend report doesn't match what finance recognized last quarter. Tuesday you're shipping a dbt PR that consolidates three definitions of "active customer" into one. Wednesday you're in the forecast review, watching the head of sales argue about coverage ratios, and you realize the underlying data has a fanout problem you can fix by Friday. Thursday is deeper IC work: designing the schema for a new partner data source. Friday you're reviewing a teammate's model and writing the test that catches the next regression before it ships.
What we're looking for
  • You've been the analytical partner inside a GTM function - not just the analyst who delivered reports to one. You've sat in pipeline reviews, argued about attribution definitions, and built dashboards that executives actually use.
  • You write SQL the way most people write English. You reach for window functions, CTEs, and set operations without thinking. You can read someone else's 200-line query and find the bug in ten minutes.
  • You think in dbt. You have opinions about staging vs. marts, when to use incremental models, and what belongs in a snapshot. You've designed schemas that survived contact with a changing business.
  • You've worked across Salesforce, billing systems, marketing platforms, and product data, and you understand how they're each subtly wrong in their own way.
  • You can take "is our marketing spend working?" and turn it into a structured analysis with a clear, defensible answer - including what you're not sure about.
  • You build trust before you ship models. You know the dashboard nobody uses is worse than no dashboard at all.
  • You have deep experience with one or more of the following: Snowflake, BigQuery, Tableau, or other modern data stacks.

Why Meter?
The internet runs the world. Every purchase you make, video call you join, it's all packets flowing through networks. But those networks haven't changed for decades. They're brittle, complex, and surprisingly hard to set up in an enterprise space.
We started Meter to build better networks. We had to build everything from the ground-up: designing and building our own enterprise hardware, intuitive software, and streamlined operations to deliver great outcomes for our customers. Today, we build and deploy these networks at scale. Ambitious companies and enduring institutions like Bridgewater, Lyft, Reddit, rely on Meter to keep their thousands of employees and locations online and productive.
Our bet with Meter is simple: we will all use the internet more than we do today. We believe we have the definitive networking stack in place to enable business to do so as seamlessly and reliably as any modern utility.
Compensation
  • The estimated base salary for this role is between $190,000 - $270,000
  • Additionally, this role is eligible to participate in Meter's equity plan.

By applying to this job you acknowledge that you've read and understood Meter's Job Applicant Privacy Notice.

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