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Sr. Insights Analyst, LinkedIn Marketing Solutions at LinkedIn3
LinkedIn3San Francisco, CA, us·5h ago
SeniorFull-timePythonRust
Salary Range
$88,400 - $119,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
LinkedIn Marketing Solutions (LMS) Customer Insights team is seeking a dynamic, visionary Insights Analyst with a strong technical background and proven expertise in marketing analytics and campaign measurement innovation to join our global team. This role focuses on developing and scaling leading-edge insights and measurement advisory solutions.
Key Responsibilities
- →Extract and analyze LinkedIn and third-party data using SQL, Python, and visualization tools, translating findings into actionable business insights and clear presentations.
- →Develop and scale innovative analyses and measurement solutions that address business challenges including proving and improving customer value.
- →Work closely with Sales, Marketing, Product, Engineering, and Support teams to drive innovation and deliver business impact.
- →Represent the Marketing Science & Technology org in client meetings, executive briefings, and support enablement activities.
- →Manage custom marketing science projects, including planning, stakeholder communication, timeline oversight, and project execution.
- →Serve as a subject matter expert for stakeholders by understanding needs, providing recommendations, and promoting data-driven decision making.
- →Adhere to data privacy, security, and exemplify coding standards to ensure compliant handling and sharing of data.
Requirements
- ✓Highly analytical with a strong intellectual curiosity.
- ✓Comfortable responding to and structuring ambiguous requests.
- ✓Passion for querying databases in SQL or comparable technical skills.
- ✓Ability to juggle multiple tasks in a fast-paced environment.
- ✓Experience working with sales teams to determine client impact.
- ✓Strong communication skills to ask effective questions and manage expectations.
- ✓Experience with data visualization tools like Tableau and Excel.
