Data & Business Intelligence Sr. Associate

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 based in Sunnyvale, New York, Chicago, or San Francisco. 

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.

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. The candidate will align more closely with either Business Intelligence or Data Foundations.

The Senior Associate, Analytics will contribute to building and maintaining the data environment, thus enabling solutions in Business Intelligence, Advanced Analytics, and Sales Operations. This role is ideal for those passionate about creating and enhancing robust data systems supporting LinkedIn’s global operational analytics, with a focus on skills including SQL, Spark, and common scripting languages like Python. The work in this role will involve complex analytics initiatives across LTS and LSS, ensuring a stable and scalable foundation for every data-driven endeavor. The role extends beyond infrastructure, emphasizing close collaboration with business leaders, Data Science, Engineering, and Business Operations teams to ensure project success and efficient, effective delivery of data insights at the right moments.

Responsibilities: 

• Leverage LinkedIn’s unique data to create innovative analyses & dashboards. 

• 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.

• Develop analytics dashboards and other scaled visualizations to inform decision making business-wide.

• Collaborate closely with the sales, marketing, engineering and data teams to provide analysis, reporting and tools that inform key stakeholders.

• Build cross-functional relationships and partner effectively with other teams to drive project success.

• Make business recommendations, conveying findings at multiple levels including managers and peers through visual displays of quantitative information. 

Qualifications

Basic Qualifications  

• Bachelor's degree in related field or related practical experience

• 3+ years of experience in data-driven roles

• 3+ years of experience in SQL, analyzing and presenting data

• 2+ years of experience with Excel

• 1+ years of experience with PowerPoint

• Experience with Python

Preferred Qualifications  

• Demonstrated record of intellectual curiosity, strong work ethic and drive for success

• Ability to be self-motivated, proactive, and comfortable operating in a rapidly changing industry

• Strong problem-solving and project management skills

• Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences

• Proven experience managing a large group of stakeholders and driving global projects independently

• Experience with CRM systems, including Salesforce and Dynamics 365

• Experience with Power BI and Tableau

Suggested Skills:

• SQL
• Python
• Problem Solving

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $106,000 - $174,000. 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: EEO Statement_2020 - Signed.pdf.

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/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.