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Data Analyst Reddit Jobs (NOW HIRING)

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 ...

Reddit

Analytics Engineer

$117K - $140K/yr

Analytics Engineer - Consumer Data Science Check out our r/RedditEng post to learn more about the team, and what we do: On Reddit, people can dive into anything through experiences built around their ...

Reddit

Principal Data Scientist, Ads

... Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You ...

Brex

Data Analyst III

New York, NY · On-site

... 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 ...

Brex

Data Analyst III

San Francisco, CA · On-site

... 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 ...

Reddit

Staff Data Scientist, Safety Insights

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is ... You will identify and prioritize opportunities for innovation, using rigorous analyses to size the ...

Reddit

Senior Data Scientist, Ads

About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize ... Reddit's ad platform * Analyze large-scale datasets to identify trends, patterns, and insights that ...

Reddit

Senior Data Scientist, Consumer

$190K - $267K/yr

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is ... data analyses, and research. This person will be an industry technical leader with a solid ...

Brex

Data Analyst II

San Francisco, CA · Hybrid

$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 ...

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 ...

Brex

Data Analyst II

Manhattan, NY · Hybrid

$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 ...

Brex

Data Analyst II

New York, NY · 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 ...

Reddit

Staff Data Scientist, Consumer

$217K - $303K/yr

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is ... Drive experimentation from design through execution and analysis to maximize learnings and guide ...

Reddit

Senior Software Engineer, Reddit Pro - Publishers

$190K - $267K/yr

... analysis, and launch. You'll be reviewing code and design docs, giving feedback on product specs ... Experienced with distributed caching layers, and distributed large scale data storage systems like ...

Reddit

Senior Analytics Engineer

Be the Analytics Engineering lead within the Sales and Marketing organization and a key contributor ... Lead transformational efforts to build a data-driven culture at Reddit by enabling data self ...

Reddit

Senior Data Science Manager, Marketing

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is ... Lead initiatives to enable analytics self-serve capabilities for cross-functional teams. Required ...

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$34K

$82.6K

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How much do data analyst reddit jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data analyst reddit in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst at Reddit, and why are they important?

To thrive as a Data Analyst at Reddit, you need strong analytical skills, proficiency in statistics, and experience with data querying languages like SQL, typically supported by a degree in a quantitative field. Familiarity with data visualization tools (such as Tableau or Looker), programming languages like Python or R, and experience with big data platforms are commonly required. Exceptional problem-solving abilities, curiosity, and effective communication skills help analysts translate complex data into actionable insights for diverse teams. These skills are crucial for driving data-informed decisions that enhance Reddit's user experience and business outcomes.

How do Data Analysts at Reddit typically collaborate with cross-functional teams, and what impact does this have on their daily work?

Data Analysts at Reddit frequently work alongside product managers, engineers, and designers to translate data insights into actionable recommendations. This collaborative approach means that analysts are often involved in sprint planning, brainstorming sessions, and presenting analyses to both technical and non-technical stakeholders. Being embedded within cross-functional teams allows Data Analysts to better understand product goals and user needs, making their analyses more relevant and impactful. It also offers exposure to varied perspectives and fosters growth in both technical and soft skills.

What does a Data Analyst do at Reddit?

A Data Analyst at Reddit is responsible for collecting, processing, and interpreting large sets of data to help drive business decisions and improve user experience. Their tasks typically involve analyzing user activity, identifying trends, creating dashboards, and presenting actionable insights to stakeholders. They often work closely with product, engineering, and marketing teams to inform strategy and optimize Reddit’s platform. Proficiency in analytics tools and programming languages like SQL, Python, or R is commonly required.
More about Data Analyst Reddit jobs
What cities are hiring for Data Analyst Reddit jobs? Cities with the most Data Analyst Reddit job openings:
What are the most commonly searched types of Data Analyst Reddit jobs? The most popular types of Data Analyst Reddit jobs are:
What states have the most Data Analyst Reddit jobs? States with the most job openings for Data Analyst Reddit jobs include:
What job categories do people searching Data Analyst Reddit jobs look for? The top searched job categories for Data Analyst Reddit jobs are:
Data Analyst Reddit jobs near you
Infographic showing various Data Analyst Reddit job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Meter, Inc

San Francisco, CA • On-site

$190K - $270K/yr

Full-time

Posted 24 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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