Manager, Data Insights - Tech
Manager, Data Insights - Tech
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1 Vacancy
Job Description
This role will be based in Chicago New York San Francisco or Sunnyvale depending upon which location the applicant chosen for the role is currently residing.
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.
The ideal candidate will function as a player-coach and will have an advanced data foundations skillset including knowledge of data engineering principles strong SQL/Python ability (or other ETL tools) and the ability to understand complicated business processes systems and analytical problems and turn them into simple robust data solutions. Using strong communication skills this person will effectively collaborate 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. This person will work with upstream partners and manage junior resources on the team to help deliver against critical analytical deliverables.
Responsibilities:
Responsible for the management of core Sales Operations data assets including support and enhancement as well as strategy
Manage and grow a thriving analytics team function including mentoring junior resources
Collaborate closely with the sales marketing engineering and data teams to provide analysis reporting and tools that inform key stakeholders.
Leverage LinkedIns unique data to create innovative analyses & dashboards.
Work with upstream technology partners to develop and deliver technical solutions.
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 technical or related field or related practical experience
- 1 year of People management or technical lead experience
- 7 years of experience in data-driven roles
- 5 years of experience in building and maintaining analytical data pipelines
- Experience using SQL Python and other ETL technologies
Preferred Qualifications:
- Strong problem-solving and project management skills
- Understanding of data engineering principles
- Understanding of statistical analysis and advanced analytics
- Experience presenting data or other technical concepts to senior stakeholders
- Proven experience managing a large group of stakeholders and independently driving global projects
- Experience with Sales Operations processes and CRM systems (e.g. SFDC and Dynamics)
- Experience with all facets of the SDLC (from requirements through sunset)
- Experience with JIRA or other Issue and Project tracking software
Suggested Skills:
- SQL
- Python
- Advanced Analytics/Machine Learning
- People Management or Technical Project Leadership
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $138000 to $225000. 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.
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 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 LinkedIns 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: 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: Work :
No
Employment Type :
Full-time
Employment Type
Full-time
