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Assistant 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 ...

Brex

Data Analyst II

San Francisco, CA · On-site

$93K - $117K/yr

... Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and ... Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ...

Kanak Elite Services Inc

Data Analyst

Sattley, CA · On-site

Candidate should be able to assist business stakeholders in building their dashboards * Supply chain domain knowledge Skill Matrix Skills Years of experience Advanced SQL Data Analytics Tableau Power ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Monitor accuracy of HAP Payment Processing * Assist with creating and/or deleting manual ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Monitor accuracy of HAP Payment Processing * Assist with creating and/or deleting manual ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Monitor accuracy of HAP Payment Processing * Assist with creating and/or deleting manual ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Monitor accuracy of HAP Payment Processing * Assist with creating and/or deleting manual ...

Rishabh RPO

Data Analyst

San Francisco, CA · On-site

Strategic Data Analyst (Financial) Location: San Francisco, CA Duration: 6 months Description ... RESPONSIBILITIES · Require 3-5 years of experience to Assist in the development of long-term ...

West Coast Trial Lawyers APLC

Data Analyst

Los Angeles, CA · On-site

$60K - $70K/yr

Identify trends, opportunities, and process improvements through data * Assist with reporting and analysis for strategic initiatives Operations Support * Support special projects related to reporting ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Monitor accuracy of HAP Payment Processing * Assist with creating and/or deleting manual ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Monitor accuracy of HAP Payment Processing * Assist with creating and/or deleting manual ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour ... Monitor accuracy of HAP Payment Processing * Assist with creating and/or deleting manual ...

The Rockridge Group

Data Analyst

Concord, CA

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... We will need you to assist in collecting data and putting it to practical use, with the end goal of ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Work closely with cross-functional teams to understand their data needs and provide analytical support. * Assist in the development and implementation of data strategies and initiatives. * Provide ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Generate ad-hoc reports and assist in detailed analysis for areas of focus in the performance of ... Conduct data analysis, data integration, and data management * Identify and develop new data ...

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All JobsData Analyst Reddit JobsAssistant Data Analyst Reddit JobsAssistant Data Analyst Reddit Jobs in California

Assistant Data Analyst Reddit information

What types of projects and data sets does an assistant data analyst at Reddit typically work with, and how do they support other teams?

As an Assistant Data Analyst at Reddit, you will often work with a variety of user engagement datasets, advertising analytics, and content performance metrics. Your responsibilities may include preparing reports, cleaning and visualizing data, and conducting exploratory analyses to uncover trends. You'll collaborate closely with product managers, engineers, and senior analysts to provide actionable insights that inform product development and marketing strategies. This role offers a great opportunity to build foundational skills in data analysis while contributing to cross-functional projects within a dynamic tech environment.

What is the difference between Assistant Data Analyst Reddit vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsAssociate's or Bachelor's degree in related fieldBachelor's degree often required; some roles prefer or require a master's
Work EnvironmentEntry-level, supportive team roles in various industriesMore independent, analytical roles often in finance, healthcare, or tech
Employer & Industry UsageCommon in tech companies, consulting firms, and startupsWidespread across industries including finance, marketing, and healthcare
Search & Comparison IntentOften searched by those starting in data roles or exploring entry-level positionsCompared for more advanced data responsibilities and career progression

In summary, an Assistant Data Analyst typically holds an entry-level position with basic data tasks, while a Data Analyst has more advanced responsibilities and requires greater expertise. Both roles are common in various industries, but the Data Analyst position usually demands more experience and skills.

What are the key skills and qualifications needed to thrive as an assistant data analyst at Reddit, and why are they important?

To thrive as an Assistant Data Analyst at Reddit, you need a solid understanding of data analysis, statistics, and foundational programming skills, typically supported by a relevant degree or coursework. Familiarity with tools such as SQL, Excel, Python, and data visualization platforms like Tableau is commonly required, along with experience in data cleaning and manipulation. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills that enable you to interpret data and present insights clearly. These competencies are crucial for supporting data-driven decision-making and ensuring the accuracy and relevance of analytical findings within the organization.
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 Assistant Data Analyst Reddit jobs in California? For Assistant Data Analyst Reddit jobs in California, the most frequently searched job titles are:
What job categories do people searching Assistant Data Analyst Reddit jobs in California look for? The top searched job categories for Assistant Data Analyst Reddit jobs in California are:
What cities in California are hiring for Assistant Data Analyst Reddit jobs? Cities in California with the most Assistant Data Analyst Reddit job openings:
Assistant Data Analyst Reddit jobs near you
Infographic showing various Assistant Data Analyst Reddit 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.

Data Analyst

Meter, Inc

San Francisco, CA • On-site

$190K - $270K/yr

Full-time

Re-posted 27 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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