Jobs for People with MS: National MS Society

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 will be based in San Francisco, Sunnyvale, Mountain View, New York, DC, Atlanta, Seattle, Chicago, or Omaha.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Understanding, identifying, and measuring business performance and growth drivers is an extremely important part of the decision-making process throughout LinkedIn. The Measurement, Insights, Data, and Analytics team provides insights, analysis, and reporting to improve and scale marketing performance at LinkedIn. We use data and analysis to inform campaign strategy and operations for the LinkedIn marketing team across all channels, including email, digital, and web marketing, as well as across multiple types of marketing, including acquisition, customer, and brand/consumer marketing. As a Senior Web Analytics Manager on our team, you will support the LinkedIn Web Marketing team in optimizing our web platform across all of LinkedIn’s business lines.  You will own the relationship with your marketing partners, data science, and stakeholders, seeking to scale meaningful insights for a sizable team.

Responsibilities

• Build strategic-minded reports and dashboards in Adobe Analytics to identify and analyze visitor (member and customer) behavior on LinkedIn’s web properties.

• Create and manage scalable reporting and dashboards that monitor marketing key performance indicators (KPIs), highlight areas of improvement, and influence web strategy.

• Define and develop new web-specific KPIs and page tagging structure to assess the health of LinkedIn’s website, in partnership with the Web Marketing team.

• Lead projects related to Digital Web Marketing, driving insights and analysis of web performance, and effectively communicate findings at all levels (within the team, to cross-functional partners, to leadership/executives)

• Build strong relationships with global marketers and cross-functional partners to provide strategic advice on LinkedIn’s marketing performance and operational efficiency.

• Solve challenging business problems creatively, efficiently, and independently, especially when faced with time and operational constraints or ambiguity.

• Identify and partner with our Data Science and Marketing Tech teams on data automation and pipeline needs for advanced web measurement.

• Work with and manipulate large, complex data sets for analysis and report creation.

• Connect traffic to business goals: Partner with Demand Gen Operations and Data Science to define models that establish a relationship between web traffic and business conversions (self-serve and field) to support the development of targets.

• Drive insights around customer behavior, leveraging LinkedIn’s unique 1st party attribute data and map out web customer journeys to surface dimensional trends and insights.

Basic Qualifications

• BA/BS degree in mathematics, engineering, or statistics or equivalent work experience

• 3+ years of experience with Adobe Analytics and Web analytics principles

• 5+ years of experience analyzing data sets using SQL and/or Hive

• 5+ years of experience in marketing analytics, business analytics, or a similar role, preferably within a technology or digital marketing environment

Preferred Qualifications

• Expertise in a data visualization tool, particularly Tableau

• Experience and comfort with using and analyzing large datasets

• Proven ability to prioritize, project-manage, problem solve, and drive progress forward under pressured timelines

• Experience in communicating and collaborating with cross-functional teams (e.g., Marketing, Data Science, MarTech, and Engineering) at various levels (e.g., peers to senior leadership)

• Good understanding of marketing attribution to examine marketing influence in site traffic performance

• Experience in leading impactful data-related or analytics projects and visually presenting and communicating findings with minimal supervision

Suggested Skills

• Web Data Analysis and Visualization

• Tableau Dashboarding

• Strategic Thinking & Problem Solving

• Cross-functional collaboration

• Stakeholder Management

• Project Management

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $121,000 to $188,000. 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 (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/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.