Sr. Associate, Analytics
LinkedInAbout the role
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, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
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 inside-out, 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 fast-paced environment.
Responsibilities:
- Leverage LinkedIn’s 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 business-wide.
- 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
Qualifications
Basic Qualifications:
Bachelor’s degree in business, economics, finance, engineering, computer science, other related technical field
3+ years’ work experience in management consulting, strategy, or business operations
3+ years of experience in data-driven roles
- 3+ years of experience in SQL, analyzing and presenting data
- 2+ years of experience with Excel
Preferred Qualifications:
Ability to navigate a fast-paced environment and comfort with ambiguity
Strong communication skills, including written and verbal communication experience with senior management
Deep interest in analyzing data and the ability to see beyond the numbers to drive sound decision-making
Experience working in high-growth, performance-focused environments.
Experience using and developing reports, metrics, and dashboards with salesforce.com, SQL, and Tableau
Suggested Skills:
Reporting
Analyzing Data
SQL
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $96,000 to $156,000. 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.
Additional 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 expressio
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