Senior Insights Analyst

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 role will be based in San Francisco, CA, Sunnyvale, CA or New York, NY. 

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. 

As a Senior Insights Analyst in the Product Operations organization, you will leverage one of the richest proprietary data sets in the world to create compelling, impactful and actionable insights for our company, and our product and operations teams. Your expertise will help us deepen the intelligence from our member/customer signals, and elevate the quality of our products.  

We’re looking for someone who thrives in bringing structure to ambiguity, designing data-driven solutions, and measuring business and consumer impact. You have substantial experience with analytical tools and techniques, and bring a solid skill-set in analyzing data and communicating recommendations. You combine analytical rigor, investigative skills and a growth mindset to build data driven learnings at scale. 

To be successful as a Senior Insights Analyst, you need to be highly analytical and creative in turning large complex data into conclusions, and be able to work with several cross-functional stakeholders and excel in relationship-building, enablement and collaboration. 

Responsibilities 

• Leverage LinkedIn's unique data to drive insights and learnings for product improvement 
• Build and scale insights to help our teams deliver exceptional products and services to all members and customers 
• Partner closely with our Member and Customer Success teams to turn data into action, and provide recommendations to influence and shape the product strategy and roadmap 
• Write SQL and Python queries to extract, blend and analyze structured and unstructured data, and present the findings in tools like Tableau and PowerPoint 
• Partner and execute with Data Science, Business Intelligence, Engineering to ensure foundational data are available and accurate for Insights tools and analyses 
• Build analytical tools, products, and dashboards to democratize insights and enhance our collective storytelling ability 
• Connect signals we have from our members and customers across, including but not limited to: customer support cases, customer call conversations, social media mentions, behavioral data on the platform, and more 
• Help develop the predictive analytics engine in partnership with Data Science to project the impact of friction reduction in product 
• Collaborate closely with Customer Success, Global Support, and Product teams to provide analysis, reporting and tool-building capabilities that inform our key stakeholders. 
• Proactively identify opportunities to scale insights through automation and self-serve mechanisms 
• Coach and uplevel our signals and product quality teams on tools, analytics and insight 

Qualifications

Basic Qualifications 

• 4+ years experience in an analytics role writing and optimizing SQL queries to extract trends 
• 2+ years experience in management consulting focused in Strategy and/or Technology 
• BA/BS Degree in computer science, information technology, math, statistics, economics or related quantitative field 

Preferred Qualifications 

• Ability to convert a complex data set into an actionable recommendation 
• Ability to communicate findings clearly to both technical and non-technical audiences 
• Experience with Hadoop and/or Python for ETL, and working with big data 
• Experience with statistical modeling, Python/R scripts and packages 
• Experience with experimental design and A/B testing 
• Experience with Tableau, or other data visualization software 
• Experience with working cross-functionally with data services, engineering, product and operations teams 

Suggested skills:

• SQL
• Analytics
• Storytelling with data

LinkedIn is committed to fair and equitable compensation practices. 

The pay range for this role is $102,000 to $160,000. Actual compensation packages are based on sever