Sr. Associate, Ecosystem Analytics

Linked In 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.

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

The location of this role will be San Francisco or Sunnyvale.

Our Ecosystem Analytics team is seeking a Sr. Associate to deliver strategic insights and build analytical data products that empower Ecosystem Strategic Finance stakeholders. This role blends business strategy, data analysis, and technical implementation. For example, you might develop a forecasting model for a top-level metric and deploy it through a Python-based Dash web application. These data products are critical to driving growth, health, and value across the Linked In member ecosystem.

Contribute to strategy development and operationalize ideas for ecosystem growth

Develop and maintain forecasting models for DAU and other key metrics

Perform ad hoc analyses to validate hypotheses and inform decision-making

Communicate insights and implications to senior leadership and cross-functional teams

Communicate implications of work (e.g., forecasts, analyses, trends) to management and cross-functional stakeholders with the necessary business context

Leverage insights and data to develop narratives to influence stakeholders

Collaborate effectively to support decision-making on issues related to analytics and technical deliverables

Build and deploy analytical data products using Python (e.g., Dash apps)

Query and transform data using SQL

Use Git for version control and collaborative development

Ensure code quality and reproducibility across analytics workflows

Create, maintain, and update models and forecasts for assigned metrics

Access, transform, and synthesize data from multiple sources to assess signals, trends, and risks

Execute ad hoc analyses to address well-defined business questions and derive actionable insights

Support the culture and values of the organization, including diversity, inclusion, and belonging

Seek out feedback and provide constructive feedback to colleagues

Take advantage of opportunities for career growth and skill development

Bachelor’s Degree in Business, Analytics, Finance, or related field

3+ years of experience in strategy, analytics, or technical operations

Experience with SQL for data querying and transformation

Experience with Python, including experience with Dash or similar frameworks

Experience with Git for version control

Familiarity with data visualization and dashboarding best practices

Analytical and communication skills; ability to present recommendations to senior leadership

Data Analysis & Forecasting

SQL & Python

Strategic Thinking

Project Management

Stakeholder Management

Linked In is committed to fair and equitable compensation practices.

The pay range for this role is $98,000 to $158,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.…