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Linkedin Data Analyst 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 ... their LinkedIn spend report doesn't match what finance recognized last quarter. Tuesday you're ...

Meter.

Data Analyst

San Francisco, CA

$190K - $270K/yr

Right now, the data that runs the business is scattered across a dozen systems that don't talk to ... their LinkedIn spend report doesn't match what finance recognized last quarter. Tuesday you're ...

MetTel

Data Analyst - Business Insights

New York, NY · On-site

$95K/yr

... LinkedIn, Indeed, Insurance, Insights Analyst, Mercer, Accenture, #Linkedin, #Indeed, Monster ... Data Engineer, #DataEngineer, Downtown NYC, Mercer, McKinsey, Bloomberg, #DataScientist ...

MetTel

Data Analyst - Business Insights

New York, NY · On-site

$95K/yr

... LinkedIn, Indeed, Insurance, Insights Analyst, Mercer, Accenture, #Linkedin, #Indeed, Monster ... Data Engineer, #DataEngineer, Downtown NYC, Mercer, McKinsey, Bloomberg, #DataScientist ...

Publicis Groupe Holdings B.V

Data Analyst

Fallston, NC · Hybrid

... Analytics Specialist , someone with SQL experience, ideally in cloud data environments such as ... You can access unlimited courses from LinkedIn Learning and Udemy Catalogs through our artificial ...

Lookout

Senior Data Analyst

$88K - $111K/yr

To learn more, visit www.lookout.com and follow Lookout on LinkedIn and X. About the Role: We are looking for a Senior Data Analyst to lead the company's reporting and analytics function. As the sole ...

New

Lookout Inc

Senior Data Analyst

$88K - $111K/yr

To learn more, visit www.lookout.com and follow Lookout on LinkedIn and X. About the Role: We are looking for a Senior Data Analyst to lead the company's reporting and analytics function. As the sole ...

Lookout

Senior Data Analyst

$88K - $111K/yr

To learn more, visit www.lookout.com and follow Lookout on LinkedIn and X. About the Role: We are looking for a Senior Data Analyst to lead the company's reporting and analytics function. As the sole ...

1 point system

Data Analyst II

Syracuse, NY · On-site

$60/hr

Work Authorization and Expiry (If any) LinkedIn Profile URL Current Location with Zip code Pay Expectation on W2 (hourly) Complete JD: Job Title Data Analyst II Location Syracuse NY 13202 (Data Drive ...

Lookout Inc

Senior Data Analyst

$88K - $111K/yr

To learn more, visit www.lookout.com and follow Lookout on LinkedIn and X. About the Role: We are looking for a Senior Data Analyst to lead the company's reporting and analytics function. As the sole ...

IterationLinc

Senior Data Analyst

Chicago, IL · On-site

$40 - $55/hr

Senior Data Analyst Location: Chicago, IL 60661, USA HyBrid Model/Remote - Must Live in Chicago ... References and or LinkedIN recommendations * Full Name, Email, Phone, Location, * Work ...

Guidepoint

Senior Data Analyst

New York, NY · Hybrid

$120K - $150K/yr

We are seeking a Senior Data Analyst who can own the full analytics lifecycle, including raw data ... Development opportunities through the LinkedIn Learning platform * Free snacks and beverages in the ...

LinkedIn

Staff Software Engineer

Mountain View, CA · Hybrid

We also build the automation that plans and manages capacity across LinkedIn's data centers ... Experience with data science and analytics disciplines-data modeling, transformation, and deriving ...

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Linkedin Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do linkedin data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for linkedin data analyst 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 does a LinkedIn Data Analyst do?

A LinkedIn Data Analyst collects, processes, and interprets data from LinkedIn’s platform to help the company make informed business decisions. They use statistical tools and data visualization techniques to uncover trends, user behaviors, and opportunities for product or marketing improvements. Their work often involves collaborating with product managers, engineers, and other analysts to provide actionable insights that drive LinkedIn’s growth and user engagement. Additionally, they may design and monitor experiments to test new features and measure their impact on key metrics.

How does a LinkedIn Data Analyst typically collaborate with other teams within the organization?

As a LinkedIn Data Analyst, you'll regularly work with cross-functional teams such as marketing, product management, sales, and engineering. Your primary role will be to analyze user data, campaign performance, and platform trends, then present actionable insights to these teams to inform decision-making. Effective collaboration involves clear communication of findings, participating in strategy sessions, and sometimes building dashboards or reports tailored to the needs of different stakeholders. This collaborative environment helps ensure that data-driven recommendations are implemented across various business functions.

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

To thrive as a LinkedIn Data Analyst, you need strong analytical skills, experience with data visualization, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with tools like SQL, Python, Excel, and platforms such as Tableau or Power BI is commonly required. Excellent communication, problem-solving abilities, and attention to detail help analysts translate complex data into actionable insights for stakeholders. These skills ensure data-driven decision-making that supports LinkedIn's business objectives and enhances user experience.

What is the difference between Linkedin Data Analyst vs Data Analyst?

AspectLinkedin Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related fields; proficiency in LinkedIn toolsBachelor's in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentPrimarily online, focusing on LinkedIn platform data and social media analyticsVaries; corporate, finance, healthcare, or tech industries, often in office or remote
Employer & Industry UsageUsed by marketing, HR, and social media teams to analyze LinkedIn dataUsed across industries for business insights, reporting, and decision-making

The main difference between a Linkedin Data Analyst and a Data Analyst lies in their focus and tools. Linkedin Data Analysts specialize in analyzing data from the LinkedIn platform to support social media strategies, recruitment, and marketing efforts. In contrast, Data Analysts work with a broader range of data sources across various industries to generate insights and inform business decisions.

More about Linkedin Data Analyst jobs

What cities are hiring for Linkedin Data Analyst jobs?

Cities with the most Linkedin Data Analyst job openings:

What states have the most Linkedin Data Analyst jobs?

States with the most job openings for Linkedin Data Analyst jobs include:

What job categories do people searching Linkedin Data Analyst jobs look for?

The top searched job categories for Linkedin Data Analyst jobs are:

Linkedin Data Analyst jobs near you
Infographic showing various Linkedin Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% 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 26 days ago

Key responsibilities

  • Ship canonical dbt models for accounts, opportunities, marketing touches, and revenue that multiple teams use.

  • Build the attribution and funnel layer to compare customer acquisition costs across channels.

  • Review and test data models and schemas to ensure data accuracy and reliability for decision-making.

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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