LinkedIn Looking for Business Operations, Senior Manager – Consumer Analytics Lead at San Francisco, CA Full Time

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, Mountain View, or Sunnyvale

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.

This role will be part of Business Operations within Product Ecosystem Performance and Strategy team. The team combines deep business understanding with business intelligence and advance analytics capabilities. We enable our business partners across Product and Engineering to make informed decisions, manage risks, and identify opportunities across multiple business areas. We are looking for a motivated individual with experience in managing high performing analytics organization  

Responsibilities

• Manage and develop high performing analytics and BI organization that is focused on unlocking scale
• Build and implement data infrastructure and tools to support the accurate and timely reporting and analysis especially to Executive audience
• Work with our Data Science team to help create machine learning forecasting & optimization models
• Spearhead the transformation in managing ecosystem performance leveraging Generative AI fabrics working with internal AI and ML teams
• Partner very closely with data teams across Data Science, Engineering, Business Operations and Marketing
• Play the role of a thought leader in the Analytics transition from descriptive to predictive analytics.

Qualifications

Basic Qualifications

• 8+ years of experience in analytics, Business Intelligence and Data Science
• 1+ year of people management experience
• Experience with SQL, Python, and Data Visualization (Tableau, PowerBI) 
• BA/BS degree in quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, or related experience

Preferred Qualifications

• Ability to execute projects independently and balance multiple high priority projects simultaneously
• Proven experience that illustrates ability to manifest though leadership, foster teamwork, anticipated business needs and manage relationships with senior stakeholders
• Exceptional problem-solving skills, with strong ability to drive towards action
• Experience with visualizations, dashboards, and reports
• Experience with data modeling, machine learning algorithms, and data science techniques
• Ability to communicate findings, analysis implications and technical concepts clearly to both technical and non-technical audiences
• Direct experience working with Enterprise/consumer subscription and Digital Media business

Suggested Skills:

• Analytics
• Strategy
• Business Intelligence

The pay range for this role is $148,000 – $230,000. 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.

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:

• 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.

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.