Sr Associate Analytics
Sr Associate Analytics
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Job Description
This role will be based in San Francisco Sunnyvale New York or Chicago 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 Senior Associate Analytics is the steward of global operational analytics and performance metrics across the LinkedIn Talent Solutions (LTS) and LinkedIn Sales Solutions (LSS) businesses. You will learn the business insideout develop roadmaps test & learn and drive outcomes for our global customers. You will lead engagements with business leaders Marketing Data Science Engineering and Business Operations teams in order to identify opportunities design and deliver results. Our solutions aim to provide the right information at the right time to enable the best outcomes.
The ideal candidate will have strong SQL skills to be able to develop maintain and improve current data assets. The candidate should also have strong analytical skills and be adept at deriving distilling and articulating actionable business insights from large amounts of data. Using strong communication skills the Senior Associate Analytics 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 fastpaced environment.
They will contribute to building and maintaining the data environment thus enabling solutions in Business Intelligence Advanced Analytics and 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 common scripting languages like Python. The work in this role will involve complex analytics initiatives across LTS and LSS ensuring a stable and scalable foundation for every datadriven endeavor. The role extends beyond infrastructure emphasizing close collaboration with business leaders Data Science Engineering and Business 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.
- Write SQL/Python queries to extract necessary data analyze the results to generate actionable insights and present the findings either in Tableau Excel or PowerPoint.
- Develop analytics dashboards and other scaled visualizations to inform decision making businesswide.
- Collaborate closely with the sales marketing engineering and data teams to provide analysis reporting and tools that inform key stakeholders.
- Build crossfunctional 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 related field or related practical experience
- 3 years of experience in datadriven roles
- 3 years of experience in SQL analyzing and presenting data
- 2 years of experience with Excel
- 1 years of experience with PowerPoint
Preferred Qualifications
- Demonstrated record of intellectual curiosity strong work ethic and drive for success
- Ability to be selfmotivated proactive and comfortable operating in a rapidly changing industry
- Strong problemsolving and project management skills
- Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences
- Proven experience managing a large group of stakeholders and driving global projects independently
- Experience with CRM systems including Salesforce and Dynamics 365
- Experience with Power BI and Tableau
- Experience with Python
Suggested Skills:
- SQL
- Analyzing data
- Python
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $106000 to $174000. 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. For more information visit Information :
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement2020 .
Please reference the following information for more information: and
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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
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- Being accompanied by a service dog
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A request for an accommodation will be responded to within three business days. However nondisability related requests such as following up on an application will not receive a response.
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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.
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No
Employment Type :
Fulltime
Employment Type
Full-time
