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Evening 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

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

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 ...

Aplaro Ltd

Data Analyst II

Manhattan, NY · On-site

$93.60 - $117/hr

... 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

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

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 ...

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 ...

Reddit

Software Engineer - Data Movement Platform

$117K - $140K/yr

... analytics workflows on data collected from hundreds of millions of users. * Own the Data Movement Platform used to enable batch and stream data processing at Reddit. * Invest in building new ...

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

Software Engineer - Data Movement Platform

$117K - $140K/yr

... analytics workflows on data collected from hundreds of millions of users. * Own the Data Movement Platform used to enable batch and stream data processing at Reddit. * Invest in building new ...

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

$70 - $90/hr

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Occasional evening and weekend work may be required as job duties demand. Employees are also ...

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Occasional evening and weekend work may be required as job duties demand. Employees are also ...

Reddit

Staff Data Scientist, Consumer

Consumer data science plays a key role in fulfilling Reddit's mission of bringing community ... Drive experimentation from design through execution and analysis to maximize learnings and guide ...

Reddit

Senior Data Scientist - Consumer

US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is ... data analyses, and research. This person will be an industry technical leader with a solid ...

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All Jobsevening JobsEvening Data Analyst Reddit Jobs

Evening Data Analyst Reddit information

See salary details

$34K

$82.6K

$136K

How much do evening data analyst reddit jobs pay per year?

As of Aug 25, 2026, the average yearly pay for evening 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 is an evening data analyst at Reddit?

An Evening Data Analyst at Reddit is a professional who analyzes and interprets data during evening hours to support Reddit's business and operational needs. These analysts work with large datasets to uncover trends, measure performance, and provide actionable insights, often collaborating with other teams remotely. The evening shift may be designed to cover global operations, support time-sensitive projects, or accommodate users in different time zones. Responsibilities can include creating reports, designing dashboards, and responding to urgent data requests that arise outside of regular business hours.

What skills and qualifications are needed to thrive as an evening data analyst at Reddit?

To thrive as an Evening Data Analyst at Reddit, you need strong analytical skills, experience with data querying languages like SQL, and a relevant degree in statistics, computer science, or a related field. Familiarity with data visualization tools such as Tableau or Looker and proficiency in analytics platforms are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you interpret data and share insights with cross-functional teams. These competencies are crucial for providing timely, accurate data analysis that supports Reddit’s decision-making processes during evening hours.

What are common challenges faced by evening data analysts at Reddit, and how can they be managed?

Evening Data Analysts at Reddit often work with teams distributed across multiple time zones, which can make real-time collaboration challenging. Additionally, analyzing data outside of standard business hours may require adapting to changing data flows and responding to urgent issues that arise during peak user activity in the evening. To manage these challenges, it’s important to maintain clear communication with day-shift colleagues, utilize collaboration tools effectively, and establish a structured handoff process for ongoing projects. Building strong relationships with cross-functional teams can also help ensure smooth workflows and timely decision-making.

What is the difference between Evening Data Analyst Reddit vs Night Data Analyst?

AspectEvening Data AnalystNight Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often requires experience in data analysis toolsSimilar credentials; often the same certifications apply
Work EnvironmentTypically in office or remote during evening hours, supporting business operationsWorks during late-night shifts, often in 24/7 operations or support roles
Industry UsageCommon in finance, healthcare, retail, and tech sectorsUsed in industries with 24/7 operations like manufacturing, IT support, or emergency services

Both roles involve analyzing data to support business decisions, but Evening Data Analysts work during evening hours, while Night Data Analysts operate during late-night shifts. The credentials and work environments are similar, with differences mainly in shift timing and industry application.

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Evening Data Analyst Reddit jobs near you
Infographic showing various Evening Data Analyst Reddit job openings in the United States as of August 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Meter, Inc

San Francisco, CA • On-site

$190K - $270K/yr

Full-time

Re-posted 15 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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