LinkedIn Insights Analyst - LTS in Dublin, Ireland


LinkedIn takes your professional network online, giving you access to people, jobs and opportunities like never before. We are on a mission to connect the world's professionals to make them more productive and successful. Talent is our number one priority and we make sure to apply that philosophy to our customers and to our own employees as well. We are looking for candidates who can align with our mission, culture and values to help us achieve our vision of creating economic opportunity for every member of the global workforce.

As an Insights Analyst at LinkedIn, you will leverage one of the richest proprietary data sets in the world to discover insights that help our sales team serve our clients. To be successful in this role you need to be highly analytical, be comfortable structuring and scoping ambiguous requests, have a passion for querying databases and enjoy presenting your findings in a visually compelling way. Your stakeholders won t always know what s possible, so it is important that you ask practical questions to get clarity in addition to managing expectations on what you can deliver.


  • Leverage Linkedin's unique data to drive insights and learnings which address our clients' business challenges

  • Interrogate databases to extract necessary data and visualize findings in either in Excel, PowerPoint, Tableau or other data visualization software

  • Act in a consultative capacity to your sales partners and the wider business in the area of data-driven Insights

  • Handle multiple ad hoc requests simultaneously

  • Proactively identify opportunities to develop scalable insights for internal and external stakeholders

  • Provide training to non-technical people on tools, analytics and insight

Basic Qualifications

  • 3+ years experience in a client facing role

  • Experience in a role requiring data interrogation, analysis and visualisation

  • Experience with SQL or a similar data querying language

Preferred Qualifications

  • BA/BS degree in math, marketing, statistics, economics or related quantitative field

  • Be comfortable structuring and scoping ambiguous requests

  • Ability to convert a complex data set into an actionable recommendation

  • Ability to communicate findings clearly to both technical and non-technical audiences

  • Experience in the Technology and/or Consultative industry providing actionable insights to customers

  • Experience with Teradata, Hadoop (Hive/Pig) and/or Python

  • Experience with Tableau, Highcharts or other data visualization software

  • Experience with project management

  • Fluency in an additional language would be advantageous