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

Analytics Engineer, Go-To-Market Data

This role will be based in Sunnyvale, San Francisco, Chicago, or New York.

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.

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