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Sr Associate, Analytics Jobs

Company

LinkedIn

Address Sunnyvale, CA, United States
Employment type FULL_TIME
Salary
Category Technology, Information and Internet
Expires 2023-09-14
Posted at 8 months ago
Job Description
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.



This role can be based in San Francisco, CA, Sunnyvale, CA, Chicago, IL, New York, NY, Omaha, NE or Detroit, MI OR Remote, depending on which location the applicant chosen for the role is currently residing.


At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid or remote work options, meaning you can 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, or this role can be performed remotely in most locations in the country of employment.


The Senior Associate, Analytics is the steward of global operational analytics and performance metrics across the LinkedIn Talent Solutions (LTS) and LinkedIn Sales Solutions (LSS) businesses. You will learn the business inside-out, develop roadmaps, test & learn, and drive outcomes for our global customers. You will lead engagements with business leaders, Marketing, Data Science, Engineering, and Business Operations teams in order to identify opportunities, design, and deliver results. Our solutions aim to provide the right information at the right time to enable the best outcomes.


The ideal candidate will have strong SQL skills to be able to develop, maintain, and improve current data assets. The candidate should also have strong analytical skills and be adept at deriving, distilling and articulating actionable business insights from large amounts of data. Using strong communication skills, the Senior Associate, Analytics will effectively collaborate with a variety of people and job functions, accomplishing tasks of high complexity and scope, and have the ability to perform professionally in a challenging and extremely fast-paced environment.


Responsibilities:


  • Build cross-functional relationships and partner effectively with other teams to drive project success.
  • Leverage LinkedIn’s unique data to create innovative analyses & dashboards.
  • Develop analytics dashboards and other scaled visualizations to inform decision making business-wide.
  • Write SQL/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings either in Tableau, Excel or PowerPoint.
  • Make business recommendations, conveying findings at multiple levels including managers and peers through visual displays of quantitative information.
  • Collaborate closely with the sales, marketing, engineering and data teams to provide analysis, reporting and tools that inform key stakeholders.


Qualifications


Basic Qualifications:


  • 2+ years of experience with Excel
  • 3+ years of experience in data-driven roles
  • 3+ years’ work experience in management consulting, strategy, or business operations
  • 3+ years of experience in SQL, analyzing and presenting data
  • Bachelor’s degree in business, economics, finance, engineering, computer science, other related technical field


Preferred Qualifications:


  • Deep interest in analyzing data and the ability to see beyond the numbers to drive sound decision-making
  • Ability to navigate a fast-paced environment and comfort with ambiguity
  • Experience using and developing reports, metrics, and dashboards with salesforce.com, SQL, and Tableau
  • Experience working in high-growth, performance-focused environments.
  • Strong communication skills, including written and verbal communication experience with senior management


Suggested Skills:


  • SQL
  • Analyzing Data
  • Reporting


Additional information


LinkedIn is committed to fair and equitable compensation practices.


The pay range for this role is $196,000 to $156,000. 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.


Additional Information


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.


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 [email protected] 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:


  • Having a sign language interpreter present for the interview
  • Having interviews in an accessible location
  • Documents in alternate formats or read aloud to you
  • Being accompanied by a service dog


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.