Sr. Associate, Business Intelligence

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.

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 and remote work options. This means 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 you can work remotely from most locations within the country listed for this role.

We are looking for a Sr. Associate, Business Intelligence and Data Foundations to help build and scale operational analytics, data foundations, and reporting capabilities for LinkedIn’s Customer Success operations. This is a unique opportunity to lead the development of data foundations and reporting solutions that are (a) purpose-built for our stakeholders, (b) future-proofed for a rapidly changing customer success landscape, (c) scalable across all lines of business, and (d) designed to enable scaled optimization and to surface actionable insights to the right people at the right time.

In this role, you will have the opportunity to work on large cross-functional programs requiring close collaboration with both technical and non-technical stakeholders, enabling business partners across global Customer Success teams across the LinkedIn Talent Solutions (LTS) and LinkedIn Sales Solutions (LSS) businesses to make informed decisions, manage risks, and identify opportunities across multiple business areas. Furthermore, you will own the central reporting infrastructure, core data foundations and other exciting analytics related initiatives.

The team is looking for a motivated individual with a solid business intelligence and/or data engineering background, strong leadership skills, a passion for learning, and energy to foster close partnerships with cross-functional business leaders. The ideal candidate will have strong SQL and dashboard development 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.

Responsibilities:

• Build cross-functional relationships and partner effectively with other teams to drive project success
• Lead engagements with cross-functional teams including, Marketing, Data Science, Engineering, and Business Operations teams in order to identify opportunities, design, and deliver results.
• Make business recommendations, conveying findings at multiple levels including managers and peers through visual displays of quantitative information
• Write SQL/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings either in Tableau, PowerBI, or other similar reporting tools
• Own end-to-end development of scalable data assets including data foundations, dashboards and automated reports that augment our stakeholders’ ability to make effective decisions quickly
• Execute global data analytics initiatives including solution design, roadmap development, prioritization, and successful implementation

Qualifications

Basic Qualifications

• 3+ years of experience in SQL
• A degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
• 3+ years of experience developing reporting solutions and dashboards using visualization tools (e.g. PowerBI, Tableau, Looker)
• 4+ years of relevant work experience

Preferred Qualifications

• Knowledge of (and a passion for) current trends and best practices in data foundations design and architecture, including performance, security and scalability
• Background in at least one programming language (e.g., R, Python, Scala).
• Strong written and verbal communicator who is very organized, able to think entrepreneurially and works well in a cross-collaboration environment
• Experience with CRM systems, including Salesforce and Dynamics 365
• Demonstrated record of intellectual curiosity, strong work ethic and drive for success
• Experience using data to develop metrics, assess performance, run exploratory analyses, find improvement areas, and generate recommendations to improve business performance
• Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences
• Strong management skills for planning and executing complex multi-team projects that crosses multiple domains

Suggested Skills:

• Analyzing Data
• Data Driven
• Presenting Data

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $100,000 to $156,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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:

• Being accompanied by a service dog
• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• 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.