Advanced Analytics – Senior Associate – Support Strategy – Planning – And Operations
| Company | |
|---|---|
| Location | San Francisco, CA, USA, Chicago, IL, USA, Omaha, NE, USA, New York, NY, USA, Sunnyvale, CA, USA |
| Salary | $106000 – $174000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s 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)
Responsibilities
- Analyze LinkedIn’s 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
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 self-motivated, proactive, and comfortable operating in a rapidly changing industry
- Experience presenting data or other technical concepts to non-technical 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