Analytics Engineer, Go-To-Market Data

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

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 Data Foundations & Operations Associate will be delivering global initiatives for the LinkedIn Marketing Solutions (LMS) business. This is a unique role within the Global Strategy & Operations function focused on driving business growth through powering high impact data-driven decision-making and insights. In this role, you will learn the business inside-out, develop data roadmaps, test & learn, and provide data to hundreds of global stakeholders. Additionally, you will cultivate strong relationships and collaborate cross-functionally with business leaders, Engineering, Data Science, Business Operations, and Finance in order to identify opportunities, design, and deliver results. 

This position offers a candidate with data, business intelligence, or analytics experience an exciting and high-profile opportunity to influence the trajectory of a significant portion of LinkedIn’s overall business. 

Responsibilities:

• Deliver global data analytics initiatives including solution design, roadmap development, prioritization, and successful implementation. 
• Create and implement solutions to enable better data integrity, decrease overall complexity, minimize technical debt, simplify processes, and improve productivity. 
• Develop end to end data roadmap from early-stage concepts to scale.  With ever an eye to reducing manual work and solution / product silos, to repeatable and scalable solutions.  
• Develop collaborative relationships with stakeholders to design and implement global solutions to drive productivity and business impact. 
• Identify incremental opportunities and drive innovations across programs and tools to improve user experience, ensure accuracy, increase reliability, and unlock productivity. 
• Effectively communicate the status of projects and insights globally. 

Qualifications

Basic Qualifications 

• Bachelor’s degree or related practical experience
• 2+ years of experience working with data, systems or tools in a business setting, including data management, data science, analytics, business intelligence, operations, engineering, reporting, or consulting. 
• 1+ years of experience using SQL to create, manage, maintain, and manipulate large datasets. 

Preferred Qualifications 

• 2+ years of experience creating and maintaining business-critical datasets, data infrastructure, tools, and systems.  
• Experience with Trino SQL and distributed data systems such as Hadoop and related technologies. 
• Experience with dashboard/BI tools (e.g. Tableau, Power BI). 
• Track record of driving measurable business impact through technical expertise and business acumen; analytical, structured, systematic and creative problem solver.  
• Proven experience leading data & BI initiatives, including data infrastructure, end-to-end solution design, deployment, process transformation, troubleshooting, and data-driven insights. 
• Proven experience managing a large, diverse group of stakeholders and driving global projects independently. 
• CRM Data Expertise: Knowledge of data from a CRM, preferably Salesforce or Microsoft Dynamics 
• Experience with digital media/advertising. 
• Bias toward action; comfortable in a fast-paced environment.

Suggested skills:

• SQL
• Large Data sets
• Analytics engineering

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $78,000 to $126,000. 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: 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 [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.