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Linkedin Data Analyst Jobs (NOW HIRING)

MECCA

Senior Data Analyst

Richmond, VA · On-site

$85K - $107K/yr

Senior Data Analyst - 12 months FTC The Senior Data Analyst plays a critical role in bridging ... To learn more about life at MECCA Brands, follow us on LinkedIn at MECCA Brands or @lifeatmecca and ...

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 ...

Walmart

Senior, Data Analyst

Bentonville, AR · On-site

$80K - $155K/yr

Position Summary...Sr. Data Analyst in Walmart Claim Services will identify the root causes of ... We'll reach out via verified LinkedIn profiles or emails ending in "@walmart.com." or "@samsclub ...

NYULMC

Senior Data Analyst

New York, NY · On-site

$94K - $118K/yr

For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed ... The Senior Data Analyst will support several projects led by Dr. Noa Krawczyk, Assistant Professor ...

NYU Langone Health

Senior Data Analyst

Manhattan, NY

$94K - $119K/yr

For more information, go to med.nyu.edu , and interact with us on LinkedIn , Glassdoor , Indeed ... The Senior Data Analyst will support several projects led by Dr. Noa Krawczyk, Assistant Professor ...

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Linkedin Data Analyst information

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$34K

$82.6K

$136K

How much do linkedin data analyst jobs pay per year?

As of Jun 8, 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:
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 May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. 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.

Senior Data Analyst

MECCA

Richmond, VA • On-site

$85K - $107K/yr

Full-time

Posted 10 days ago

Job description

Senior Data Analyst - 12 months FTC

The Senior Data Analyst plays a critical role in bridging business stakeholders, analytics, and data engineering at MECCA. This role is responsible for delivering high-quality analysis, scalable reporting solutions, and well-structured data models that enable data-driven decision making across the organisation.

Building on core analytical capability, the Senior Data Analyst owns more complex problem solving and is expected to translate business requirements into robust analytical solutions. This includes developing Tableau dashboards, contributing to data modelling in DBT, and working closely with engineers to ensure data assets are fit for purpose.

The role combines strong analytical thinking with technical capability and stakeholder engagement, acting as a key connector between business needs and platform capability. The Senior Data Analyst also supports the uplift of analytics standards, tooling, and ways of working across the team.

The Role You Could Play:

  • Lead advanced data analysis to deliver actionable insights and support strategic business decision-making.

  • Design, build, and maintain scalable Tableau dashboards and reporting solutions aligned to business metrics and standards.

  • Develop and maintain data models using DBT and collaborate with Data Engineering teams to optimise Snowflake data structures and pipelines.

  • Translate business requirements into clear analytical and technical solutions while managing stakeholder expectations and priorities.

  • Ensure data quality, consistency, and accuracy through testing, validation, and best practice data modelling approaches.

  • Drive continuous improvement across analytics, reporting, and data processes, including exploration of advanced analytics and AI opportunities.

  • Mentor junior analysts and promote best practices in analysis, visualisation, collaboration, and delivery standards.

What You Will Bring:

  • Strong analytical and problem-solving capability

  • Advanced SQL and data manipulation skills

  • Experience with Snowflake will be highly regarded, we will also consider Redshift, DataBricks or anything similar

  • Experience building scalable dashboards in Tableau

  • Working knowledge of DBT and modern ELT practices

  • Strong understanding of data modelling concepts and semantic layers

  • Ability to translate between business and technical stakeholders

  • High attention to detail and commitment to data quality

  • Strong communication and stakeholder management skills

  • Proactive, outcome-focused mindset with commercial awareness

Your Life At MECCA

Whilst we are singularly focused on our #CustomerFirstmantra, we know thatwouldn'tbe possible without an incredible team that is guided by our MECCA values and motivated each and every day to be solutions focused, innovative, collaborative and adaptable, and have a bit of fun along the way!

Some of our other team member benefits include:

  • Professional development programs and first-class digitised learning offering

  • Health and well-being initiatives

  • Reward and recognition programs

  • Access to bonus and incentive programs

  • Access to quarterly product allowance

  • Generous discount to spoil yourselves and your immediate family, as well as a generous product allowance, subject to company policy.

There are also so many other ways in whichyou'llbe made to feel part of the MECCA story as we love to celebrate, surprise and delight our team along the way.

To learn more about life at MECCA Brands, follow us on LinkedIn at MECCA Brands or @lifeatmecca and for all current opportunities, visit http://www.mecca.com.au/careerswww.mecca.com.au/careers

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