Advanced Analytics Senior Associate Support Strategy Planning and Operations

This role will be based in Omaha New York City San Francisco Sunnyvale or Chicago.  

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.  

We are looking for an Advanced Analytics Senior Associate to join our team in leveraging one of the richest proprietary data sets in the world to investigate & make recommendations on LinkedIns advertising platforms most critical business questions. As an Advanced Analytics Senior Associate you will partner with strategy planning and the business to identify and deeply understand key gotomarket and broader business opportunities. You will partner with data and engineering teams to ensure we capture the right information for analysis and communicate the findings to key stakeholders. 

Were looking for someone who thrives in bringing structure to ambiguity designing datadriven solutions and measuring business and consumer impact. You will use your SQL skills and experience in applied statistics analyzing data to draw actionable insights and communicating findings to a variety of audiences. You combine analytical rigor investigative skills and a growth mindset to build data driven learnings at scale.  This is an exciting opportunity to drive scale and leverage while influencing the trajectory of our customer operations. 

To be successful you need to be highly analytical and creative in turning large complex data into conclusions and be able to work with several crossfunctional stakeholders and excel in relationshipbuilding enablement and collaboration. 

Responsibilities: 

• Analyze LinkedIns unique data to drive insights and strategic decision making 

• Implement algorithms models and methodologies that enable stakeholders derive actionable insights 

• Develop deep business knowledge and identify key questions to explore 

• Write SQL and Python queries to extract blend and analyze structured and unstructured data and present the findings in tools like Tableau and PowerPoint 

• Advise stakeholders & team on proper measurement and experimentation practices 

• Anticipate data needs and partner with technical teams to address them 

• Share and present findings and recommendations with senior leadership 

Qualifications :

Basic Qualifications  

• Bachelors degree in Math Computer Science Economics Analytics Business Engineering or other quantitative fields OR equivalent experience

• 4 years of relevant experience applying data analysis to solve business problems including data science analytics business intelligence operations engineering reporting or consulting.  

• 3 years using SQL analyzing and presenting data 

• 2 years of experience in applied statistics in a statistical software package (eg. R Python) 

Preferred Qualifications  

• Track record of driving measurable business impact through technical expertise and business acumen; analytical structured systematic and creative problem solver 

• 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 

• Experience presenting data or other technical concepts to nontechnical stakeholders; ability to convert a complex data set into actionable recommendations and communicate work to varying audiences 

• CRM Data Expertise:Knowledge of data from a CRM preferably Salesforce Microsoft Dynamics or Oracle Service Cloud 

• Experience with customer operations or support organizations 

• Experience with Hadoop and/or Python and working with big data 

• Experience with statistical modeling Python/R scripts and packages experimental design and A/B testing 

Suggested skills: 

• SQL 

• Statistics 

• Python 

• R 

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 :

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No

Employment Type :

Fulltime