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Linkedin Data Analyst Jobs (NOW HIRING)

Writeand optimize code (e.g., SQL, Python, Spark SQL) to extract, process, and analyze data. Use AI ... LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is ...

Senior Data Scientist

Mountain View, CA · On-site +1

$121K - $198K/yr

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data ... Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine ...

Our team leverages LinkedIn's unique data to better understand economic trends around the world while also utilizing economic approaches to analyze member behavior on LinkedIn. Our work on ...

New

Data Analyst Location : Santa Clara, CA Onsite - Local Only Duration : Long term contract ... Himanshu01@kanakits.com LinkedIn : Kanak IT is an equal opportunity employer. We consider all ...

Our team leverages LinkedIn's unique data to better understand economic trends around the world while also utilizing economic approaches to analyze member behavior on LinkedIn. Our work on ...

New

... LinkedIn profile. - One round interview process. - Responsible for detailed field-level analysis ... data conversion and validation as part of an enterprise-wide legacy system replacement program ...

Data Analyst

Austin, TX · On-site

$35 - $45/hr

We are seeking a skilled Data Analyst to perform complex data analysis supporting both ad-hoc and ... LinkedIn . Opportunity Awaits. #LI-NC5

Data Analyst

Austin, TX · On-site

$40 - $50/hr

We are seeking a Data Analyst to support complex business reporting, ad hoc analysis, and dashboard ... LinkedIn . Opportunity Awaits. #LI-NC5

Must have a LinkedIn. Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE ...

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you ... Working knowledge of paid media platforms (Google Ads, Meta, LinkedIn, programmatic DSPs) and ...

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you ... Working knowledge of paid media platforms (Google Ads, Meta, LinkedIn, programmatic DSPs) and ...

Data Analyst #1058274 * We are seeking an Analytics Engineer (contract) to support development of ... Find us on LinkedIn: You can become a fan of FastTek on Facebook: AI & Hiring Disclosure We use AI ...

Job Title Senior Data Analyst Location Hybrid - Sunnyvale, CA (2 days onsite/week) Pay Rate $40/hr ... com LinkedIn: linkedin.com/in/monu -singh-chauhan-610857204 115 Stone Village Drive * Suite C

RevOps Data Analyst

New York, NY · On-site +1

$100K - $110K/yr

As our RevOps Data Analyst , you will be the analytical engine driving our Go-To-Market (GTM ... LinkedIn Life Page * Facebook * Instagram #LI-REMOTE

For more information, go to med.nyu.edu , and interact with us on LinkedIn , Glassdoor , Indeed ... The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare ...

For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed ... The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare ...

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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 Aug 14, 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.

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 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.

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 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.
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:

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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Insights Associate Program Manager

LinkedIn

Chicago, IL • Hybrid

Full-time

Posted 12 days ago


LinkedIn rating

9.3

Company rating: 9.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

14th of 244 rated software companies


Job description

Company Description

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.

Join us to transform the way the world works.

Job Description

This position is based in Chicago, IL

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 

At LinkedIn, we empower professionals worldwide to achieve more. Every day, millions of people rely on our products to connect, discover opportunities, and gain actionable insights. The Insights Associate Program Manager role is pivotal in delivering scalable, data-driven solutions that drive LinkedIn's success and enable customers to unlock value through our products within the Talent Solutions business. 

This role sits at the unique intersection of LinkedIn product expertise, proprietary dataset ownership, and alignment with customer lifecycle and go-to-market strategies. They blend technical program management, analytical problem-solving, and collaboration to produce insights and strategies built on trust and innovation. 

About The Role 

As an Insights Associate Program Manager, you will perform technical work, ensuring the insights and strategic recommendations you develop meet high standards of quality, reliability, and scalability. From coding sophisticated queries to shaping strategic narratives, you will play a critical role in translating LinkedIn's data into actionable insights for internal and external stakeholders. 

Your efforts will contribute to the optimization and creation of tools, narratives, and strategies that enhance LinkedIn's ability to solve customer challenges, improve decision-making, and elevate the value proposition of our Talent Solutions portfolio. 

Responsibilities 

Data-Driven Insights Development 

Leverage LinkedIn's proprietary datasets to design and deliver impactful, scalable insights that align with product and lifecycle strategies in addressing customer pain points and value propositions. 

            Write and optimize code (e.g., SQL, Python, Spark SQL) to extract, process, and analyze

            data. Use AI coding assistants (e.g., Claude, Copilot) to accelerate query development,

            debug pipelines, and prototype analyses faster - while applying sound judgment to

            validate outputs for accuracy. 

Build and maintain robust data pipelines and workflows using tools like Apache Airflow and HD. 

Collaboration and Alignment 

Partner with cross-functional teams, including Sales, Customer Success, Marketing, and Data Science, to refine messaging and enhance customer value delivery anchored in data. 

Establish strong stakeholder relationships, serving as a technical and strategic advisor for internal and external partners on program strategy. 

Insights Strategy and Vision 

Define and execute the long-term vision and roadmap for your programs. 

Identify gaps in existing tools and customer lifecycle motions, prioritize opportunities, and drive alignment on strategic initiatives. 

Provide recommendations on opportunities to strengthen strategy for business impact based on LinkedIn data for prioritized segments, markets, and initiatives. 

Measure the effectiveness of Insights driven interventions across our customer lifecycle and field partner touchpoints, tracking its impact on LinkedIn's Talent business outcomes. 

Visualization and Communication 

Develop compelling visualizations and narratives using Tableau or equivalent tools to communicate insights. 

Present findings effectively to technical and non-technical audiences, fostering trust and engagement. 

Data Quality and Governance 

Implement data quality checks to ensure accuracy, consistency, and integrity. 

Document best practices, compliance protocols, and technical solutions for scalability. 

Qualifications

Basic Qualifications 

            Bachelor's degree. 

            3+ years of experience in data analysis, consulting, or technical program management. 

3+ years of experience with SQL, with experience in optimizing queries for performance (Trino, Spark SQL preferred). 

2+ years of creating data visualizations and data storytelling to turn data into Insights using Tableau or similar program. 

Preferred Qualifications 

BA/BS degree in Statistics, Economics, Data Science or related quantitative field. 

Experience communicating with both technical and non-technical audiences to ensure alignment and foster engagement.

Experience with product, marketing, or customer lifecycle analytics, including the ability to tie insights to business outcomes. 

Experience building and nurturing relationships with senior stakeholders and serving as a trusted advisor and technical expert. 

Experience writing and optimizing Python scripts for data analysis, automation, and scalable workflows. 

Practical business understanding with genuine passion for technology, big data, and/or artificial intelligence. 

Ability to manage complex, multi-stakeholder programs and influence without authority. 

Strong problem-solving, business acumen, and communication skills. 

Suggested Skills 

Technical Expertise: Strong coding and data management skills. Motivated by curiosity with genuine interest in learning new technology and skills. 

Program Management: Proven ability to run operational program coordination, track timelines, and execute in fast-paced environments. 

Business & Lifecycle Alignment: Ability to connect technical solutions to customer lifecycle stages and overall business needs. 

Collaboration: High EQ and ability to build relationships across diverse teams. 

Trust and Integrity: Commitment to delivering accurate, actionable insights that stakeholders can rely on.

Agility & Adaptability: Adapts readily to changing priorities and business needs, staying effective and solutions-oriented under pressure. 

 LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $89,000 to $145,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Additional Information

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates 

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.


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