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, 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. This role can be located in our New York or Chicago offices.
As a
Senior Associate, Insights Analytics Engineer supporting the
Marketing Solutions business, you will leverage one of the richest proprietary datasets in the world. You will work with a high-caliber, passionate team who believes that data can transform how a company does business. You will lead high-impact programs and scale analytics tools that create value for our customers, our sales teams, and our business.
Your work will help supercharge our go-to-market efforts by infusing data into how we sell and the stories we tell. In this role, you will develop scaled customer insights solutions, used by thousands of sales professionals every day, by capturing complex business requirements, owning end-to-end technical development, and driving field-wide deployment. This includes prototyping, developing, and validating internal and customer-facing solutions to build quality insights products.
To be successful in this role, you will be a proactive, analytical product manager, using LinkedIn’s unique data and disciplined project management techniques to design and execute programs and tools focused on accelerating LinkedIn’s growth. Diverse internal partners you’ll collaborate with include—but are not limited to—Insights, Sales, Sales Readiness, Product Marketing, Engineering, Data Science, and Product. You’ll embrace continuous learning and diverse feedback to ensure that your tools and programs are evolving and improving to meet the needs of our customers. You like to dream big, work collaboratively to get stuff done, and know how to have fun along the way.
Responsibilities:
- Partner cross-functionally to design, plan, and execute strategy
- Create requirements and project plans for analytic programs and tools, and re-prioritize based on impact and level of effort to complete
- Build a communications plan that ensures effective delivery and awareness of new Insights product or feature launches and incorporates feedback from key stakeholders
- Establish a high bar for compelling scaled insights business cases
- Identify scaled solutions for the most important customer challenges by leveraging LinkedIn’s unique data and act as an advisor to manage stakeholder expectations
- Leverage SQL/Python to extract and manipulate necessary data
- Analyze results to generate business insights
Qualifications
Basic Qualifications
- BA/BS in math, marketing, statistics, economics, business or related field
- 4+ years of work experience in project or program management or a consulting role working cross-functionally
- 3+ years of experience with data analysis, data storytelling, and data visualization tools (e.g., Tableau, Power BI, etc.) to turn data into insights and present to internal and/or external stakeholders
- 2+ years working with SQL to query large datasets (e.g., Pig, Hive, Presto, Spark SQL, etc.)
- 2+ years working with Python for data manipulation, batch processing, machine learning, statistical analysis, etc.
Preferred Qualifications
- Experience in digital marketing analytics
- Business acumen and creative problem-solving skills
- Experience managing complex, multi-workstream programs
- Experience working with both technical and non-technical stakeholders like sales to capture complex business requirements, solution, and drive full scale deployment (launch, adoption, impact assessment)
- Excellent interpersonal, communication, writing, presentation, statistical and data analysis skills
- Experience turning data into insights and presenting to internal (technical and non-technical) stakeholders and external stakeholders
- Expert knowledge of MS Office (Outlook, Word, PowerPoint and Excel)
Suggested Skills:
- Stakeholder management
- Data visualization and storytelling
- Python
- Consulting
- SQL
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $112,000 to $185,000. 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.
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 https://careers.linkedin.com/benefits.
Additional 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 accommodations@linkedin.com 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 LinkedIn's 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: https://lnkd.in/paytransparency.
Global 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: https://legal.linkedin.com/candidate-portal.
