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Entry Level Data Analyst Reddit Jobs in California

Meter, Inc

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 ... Ambitious companies and enduring institutions like Bridgewater, Lyft, Reddit, rely on Meter to keep ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

The Data Analyst Engineer I will provide critical support to Navy operations by developing ... This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ...

Julius

Growth Intern (Summer/Fall)

San Francisco, CA · On-site

$17.75 - $23.50/hr

Julius is an AI data analyst used by over 2M users, including companies like Nvidia and ... Own content across X, LinkedIn, Reddit, and YouTube, from ideation to publishing * Create video ...

ODK Media

Community / SEO Intern (Unpaid)

Irvine, CA · On-site

Familiarity with Reddit or online community platforms * Basic understanding of HTML structure * Experience writing SEO or editorial content * Data analysis skills (Excel, Google Sheets) What We Value

City of Roseville, CA

Database Analyst 1500

Roseville, CA · On-site

$37.45 - $57.96/hr

In this role, you will manage, optimize, and protect agency data while partnering with departments ... DISTINGUISHING CHARACTERISTICS Database Analyst I - This is the entry level class in the Database ...

CodersData LLC

Entry Level SAS Analyst

Glendale, CA · On-site

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

CodersData, LLC

Entry Level SAS Analyst

Glendale, CA · On-site

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

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Entry Level Data Analyst Reddit information

What is the difference between Entry Level Data Analyst Reddit vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; basic SQL and Excel skillsBachelor's or higher in Data Science, Computer Science, or related; knowledge of programming languages like Python or R
Work EnvironmentOffice or remote; focus on data reporting and visualizationOffice or remote; involves advanced modeling and machine learning
Employer & Industry UsageBusiness, finance, marketing; entry-level roles in various industriesTech, finance, healthcare; more specialized roles requiring technical skills

Entry Level Data Analysts typically handle data reporting, cleaning, and visualization with basic tools, while Data Scientists work on complex modeling and predictive analytics using advanced programming. The roles differ mainly in technical depth and scope, but both are essential in data-driven organizations.

What are some common challenges Entry Level Data Analysts at Reddit might face when working with large datasets?

Entry Level Data Analysts at Reddit often encounter challenges such as cleaning and organizing large, unstructured datasets, which can be time-consuming and require strong attention to detail. They may also need to learn Reddit-specific data tools and adapt to rapidly changing project requirements in a fast-paced tech environment. Collaboration with engineers, product managers, and other analysts is frequent, so developing strong communication skills is essential for effectively sharing insights and recommendations.

What does an Entry Level Data Analyst do on Reddit?

An Entry Level Data Analyst on Reddit is responsible for gathering, organizing, and analyzing data to help inform decisions and optimize user experiences on the platform. They work with large datasets to identify trends, create reports, and support various teams by providing actionable insights. Common tasks include cleaning data, building dashboards, and assisting with data-driven projects. This role often requires proficiency in tools like Excel, SQL, and sometimes Python or R, as well as strong analytical and communication skills.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst?

To succeed as an Entry Level Data Analyst, you typically need a solid understanding of statistics, data interpretation, and proficiency with Excel, often supported by a degree in a quantitative field. Familiarity with analytical tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is commonly expected. Strong problem-solving, attention to detail, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and actionable insights for business decision-making.
What are the most commonly searched types of Data Analyst Reddit jobs in California? The most popular types of Data Analyst Reddit jobs in California are:
What are popular job titles related to Entry Level Data Analyst Reddit jobs in California? For Entry Level Data Analyst Reddit jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst Reddit jobs in California look for? The top searched job categories for Entry Level Data Analyst Reddit jobs in California are:
What cities in California are hiring for Entry Level Data Analyst Reddit jobs? Cities in California with the most Entry Level Data Analyst Reddit job openings:
Entry Level Data Analyst Reddit jobs near you
Infographic showing various Entry Level Data Analyst Reddit job openings in California as of July 2026, with employment types broken down into 66% Full Time, 8% Part Time, and 26% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Data Analyst

Meter, Inc

San Francisco, CA • On-site

$190K - $270K/yr

Full-time

Re-posted 20 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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