Analytics Engineer 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

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is remote, meaning it will be performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. 

We are looking for an Analytics Engineer Associate to join our team.

Responsibilities:

• Lead data-driven recommendations and insights to support strategic projects across Central Operations
• Understand the business, track operational performance, provide insights and recommendations
• Support company-wide programs through ownership of analytical projects
• Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
• Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
• Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy
• Possibility to learn & implement advanced analytics tools for optimization (e.g., Cloud hosting, Job automation, Artificial Intelligence techniques, Natural Language generation)

Qualifications

Basic Qualifications:

• BS degree in a quantitative discipline
• 4+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics

Preferred Qualifications:

• Ability to leverage numbers and insights to influence & drive sound decision making
• Ability to build strong partnerships and collaborate with stakeholders
• Experience in communicating effectively and presenting to Senior Executives
• Experience with manipulating massive-scale structured and unstructured data
• Experience creating and maintaining business-critical data warehouse tables using SQL
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster)
• Experience with distributed data systems such as Hadoop and related technologies (Spark, Trino etc.)
• Background in at least one programming language (e.g., R, Python, Java, Scala)

Suggested Skills:

• SQL
• Python
• Spark

Additional Information

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.