Senior Associate, Sales Analytics
LinkedIn
Full-time
On-site
New York New York United States
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. 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 LinkedIn’s 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 LinkedIn’s 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
Bachelor's degree in business, tech, engineering, or any related field or related practical experience
3+ years of experience in data-driven roles
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
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $112,000 to $185,000. 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: https://careers.linkedin.com/benefits.
Additional 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.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
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. 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 LinkedIn’s 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 LinkedIn’s 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
Bachelor's degree in business, tech, engineering, or any related field or related practical experience
3+ years of experience in data-driven roles
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
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $112,000 to $185,000. 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: https://careers.linkedin.com/benefits.
Additional 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.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.