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 be based in NYC, SF, Sunnyvale, or Chicago.
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 MCXO 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 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 Product Operations teams to turn data into action, and provide recommendations to influence and shape the product strategy and roadmap
- Write SQL/Presto/Spark/Python queries to extract, blend and analyze structured and unstructured data, and present the findings in 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
- Apply statistical models and causal inference methods to uncover trends, measure impact, and predict future performance of our product
- Connect signals we have from our members and customers across, including but not limited to: customer support cases, 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
- Own the analytical framework, and provide methodology & measurement for new product quality metrics like user success & sentiment.
- Collaborate closely with product, operations, engineering 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
- 3+ years experience in an analytics or quantitative role
- Degree in math, statistics, economics or related quantitative field
- 1+ years experience in data analysis, quantitative research or applied statistics
- 3+ years experience writing and optimizing SQL queries to extract trends
Preferred Qualifications
- MA/MS/PhD in math, statistics, economics or related quantitative field
- Experience in a role requiring influencing R&D and measuring product impact
- 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, Product and/or Consultative industry providing actionable insights
- 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
- Knowledge of social media and consumer Internet practices
Suggested Skills
- SQL
- Data Analysis
- Experimental Design
Additional Information
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $89,000 to $132,000. 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.
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: EEO Statement_2020 - Signed.pdf.
Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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 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:
- 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 for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
