Senior Manager, Insights & Analytics

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 hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Understanding, identifying, and measuring business performance and growth drivers is an extremely important part of the decision-making process throughout LinkedIn. The Insights & Analytics (I&A) team in the Measurement Insights Data Analytics (MIDA) team is looking for a Senior Manager to lead insights and analytics for all of LinkedIn’s products. This person will be responsible for creating and managing scalable reporting and dashboards that monitor marketing KPIs, as well as uncovering actionable insights to drive incremental growth for Marketing. They will collaborate closely with cross-functional teams to influence strategy and identify growth and optimization opportunities for our overall marketing investments.

Responsibilities

• Lead the analysis of marketing performance data to identify trends, opportunities, and areas for optimization.

• Conduct optimization tests in collaboration with cross-functional marketing teams to drive business growth and confidence in measurement.

• Work with and manipulate large complex data sets for report creation and execution of analyses.

• Develop and maintain scalable reporting dashboards to track key marketing KPIs, providing actionable insights to drive incremental growth for our horizontal reporting efforts.

• Partner with Data Science and Engineering teams to design and build source of truth data tables. Maintain and improve the accessibility and understanding of the core data and KPIs.

• Proactively streamline and automate manual processes in our current reporting environment and actively work with teams to reduce friction.

• Collaborate closely with cross-functional teams to influence marketing strategy and data-driven decision making.

• Drive the reporting implementation of advanced measurement capabilities like modeled attribution and media mix modeling to enhance our understanding of marketing effectiveness and incrementality.

• Build strong relationships with global marketers and cross-functional partners to provide strategic advice on LinkedIn’s marketing performance and operational efficiency.

• Solve challenging business problems creatively, efficiently, and independently, especially when faced with time and operational constraints or ambiguity.

Qualifications

Basic Qualifications:

• BA/BS degree or equivalent work experience

• 4+ years of experience with Tableau or similar visualization tool

• 4+ years of experience analyzing data sets using SQL and/or Hive

• 6+ years of experience in marketing analytics, data analysis, or similar role within a technology or digital marketing environment

Preferred Qualifications:

• Experience and comfort with using and analyzing large datasets, as well as with data visualization tools like Tableau.

• Proven track record of analyzing and translating data into actionable insights and recommendations to drive business growth. Has demonstrated the ability to derive and prioritize the most pertinent strategic insights to influence business strategy and outcomes.

• Excellent communication and stakeholder management skills, with the ability to present complex data findings in a clear and compelling manner to non-technical audiences.

• Understanding of marketing measurement capabilities like modeled attribution and media mix modeling.

• Ability to prioritize, project-manage, problem solve, and drive progress forward under pressured timelines.

• Experience in supporting marketing tests or experiments, including designing, executing, and analyzing A/B tests, or incrementality experiments.

Suggested Skills:

• Data Analysis and Visualization

• Strategic Thinking

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