Senior Associate, Insights Analytics Engineer

LinkedIn is the world’s largest professional network, building products that create economic opportunity for the global workforce. As a Senior Associate, Insights Analytics Engineer supporting Marketing Solutions, you will use LinkedIn’s proprietary data to build and scale customer insights solutions that power sales and go-to-market storytelling.

• Partner cross-functionally to design, plan, and execute strategy for analytics programs and tools.
• Capture complex business requirements and create requirements documents and project plans; re-prioritize work based on impact and effort.
• Own end-to-end technical development for scaled insights solutions, including prototyping, development, and validation.
• Drive field-wide deployment of tools and programs, including launch planning, adoption enablement, and impact assessment.
• Build a communications plan to ensure awareness and effective delivery of new insights products/features and incorporate stakeholder feedback.
• Establish and maintain a high bar for compelling, scaled insights business cases.
• Identify and recommend scalable solutions to key customer challenges using LinkedIn data; advise stakeholders and manage expectations.
• Use SQL and Python to extract, manipulate, and prepare data from large datasets.
• Analyze results to generate business insights and support data-driven storytelling for internal and external stakeholders.

• Education: BA/BS in math, marketing, statistics, economics, business, or a related field.
• Experience: 4+ years in project/program management or consulting with cross-functional teams.
• 3+ years in data analysis, data storytelling, and data visualization (e.g., Tableau, Power BI) for presenting insights to stakeholders.
• 2+ years using SQL to query large datasets (e.g., Pig, Hive, Presto, Spark SQL).
• 2+ years using Python for data manipulation, batch processing, machine learning, and/or statistical analysis.
• Preferred: Digital marketing analytics experience; ability to manage complex multi-workstream programs; experience working with technical and non-technical stakeholders (e.g., Sales) to gather requirements and drive full-scale deployment.
• Strong interpersonal, communication, writing, presentation, and statistical/data analysis skills.
• Expert knowledge of MS Office (Outlook, Word, PowerPoint, Excel).

• Work model: Hybrid (work from home and from a LinkedIn office on select days as determined by business needs).
• Offices: Role can be located in New York or Chicago.
• Compensation: Total compensation may include annual performance bonus, stock, and benefits.
• Benefits: Benefits and other incentive compensation plans may apply (see company benefits page for details).