Senior Associate, Sales Analytics

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. This role can be based in either our New York Chicago San Francisco Sunnyvale or Omaha offices.

The ideal candidate will have strong SQL skills to be able to develop maintain and improve current data assets. The candidate will use strong analytical skills and be adept at deriving distilling and articulating actionable business insights from large amounts of data. The Senior Associate Sales Analytics will effectively collaborate and communicate with a variety of people and job functions accomplishing tasks of high complexity and scope and have the ability to perform professionally in a challenging and extremely fast-paced environment. 

They will contribute to building and maintaining the data environment and building and enabling solutions for Sales Operations. This role is ideal for those passionate about creating and enhancing robust data systems supporting LinkedIns global operational analytics with a focus on skills including SQL Spark and advanced analytics techniques. The work in this role will involve complex analytics initiatives across LinkedIn Talent Solutions and LinkedIn Sales Solutions ensuring a stable and scalable foundation for every data-driven endeavor. The role emphasizes close collaboration with business leaders Engineering Sales and Operations teams to ensure project success and efficient effective delivery of data insights at the right moments.

Responsibilities: 

• Leverage LinkedIns unique data to create innovative analyses & dashboards including developing/deploying predictive models (e.g. forecasting and classification)
• Write SQL/Python queries to extract necessary data analyze the results to generate actionable insights and present the findings
• Collaborate closely with the sales marketing engineering and data teams to provide analysis reporting and tools that inform key stakeholders.
• Build cross-functional relationships and partner effectively with other teams to drive project success.
• Make business recommendations conveying findings at multiple levels including managers and peers through visual displays of quantitative information. 

Qualifications :

Basic Qualifications  

• Bachelors degree in business tech engineering or any related field or related practical experience
• 4 years of experience in data-driven roles within consulting data science engineering data analytics or similar field
• 3 years of experience using SQL analyzing and presenting data
• 2 years of experience with either Python OR R
• 2 years of experience building pipelines with ETL tools
• Experience building predictive models

Preferred Qualifications  

• Demonstrated record of intellectual curiosity strong work ethic and drive for success
• Ability to be self-motivated proactive and comfortable operating in a rapidly changing industry
• Strong problem-solving and project management skills
• Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences
• Experience with Sales Operations processes and CRM systems (e.g. SFDC and Dynamics) 
• Understanding of data engineering principles

Suggested Skills

• SQL
• Python
• ETL
• Predictive modelling

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $112000 to $185000. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set years & depth of experience certifications and specific office location. This may differ in other locations due to cost of labor considerations.  

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For additional information visit:  Information :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

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No

Employment Type :

Full-time