This role could be based in San Francisco, Sunnyvale, Chicago, New York, or Omaha, depending on which location the candidate approved for hire resides.
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 an 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 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 analyzing data to find patterns and drive action. You combine an analytical toolkit, investigative skills and a growth mindset to build data driven learnings at scale.
To be successful as an 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 leverage multiple tools and technology.
Responsibilities
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Leverage Linkedin’s unique data to drive insights and learnings for product improvement
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Build and scale insights to help our teams deliver exceptional products and services to all members and customers
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Partner closely with other insights analysts in the team to turn data into action, and help create content and tools to enable product recommendations
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Write SQL/Presto/Python queries to extract, blend and analyze structured and unstructured data, and visualize findings in Tableau or equivalent
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Create and evolve tools, reports, and dashboards to measure and understand user friction
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Collaborate with other data teams in Data Science, Business Intelligence, Engineering to build and maintain foundational data
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Connect signals we have from our members and customers from various channels, including: customer support cases, social media mentions, behavioral data on the platform, and more
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Help scale and evolve our product quality metrics like user success & sentiment.
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Apply statistical models and methods to uncover trends, measure impact, and predict future performance of our product
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Collaborate closely with product, operations, and data teams to provide analysis, reporting and tool-building capabilities that inform our key stakeholders.
Basic Qualifications
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2+ years experience in an analytics or quantitative role
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Bachelor’s degree or equivalent, relevant work experience.
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2+ years experience writing and optimizing SQL queries to extract trends
Preferred Qualifications
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Degree in math, statistics, economics or related quantitative field
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3+ years experience in an analytics or quantitative role
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Experience in a product analytics role and measuring product impact
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Ability to convert a complex data set into an actionable recommendation
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Ability to communicate findings clearly to both technical and non-technical audiences
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Experience in the Technology, Product and/or Consultative industry providing actionable insights
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Experience with Hadoop and/or Python for ETL, and working with big data
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Experience with statistical modeling, Python/R scripts and packages
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Experience with Tableau, or other data visualization software
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Experience with working cross-functionally with data services, engineering, product and operations teams
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Knowledge of social media and consumer Internet practices
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Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://lnkd.in/equalemploymentopportunity2017. Please reference the following information for more information: https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf. Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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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 at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
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:
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Documents in alternate formats or read aloud to you
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Having interviews in an accessible location
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Being accompanied by a service dog
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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.
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As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
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