Associate / Sr. Associate, Customer Success Strategy & Operations, Business Intelligence - Talent Solutions

LinkedIn
New York, NY Full Time
POSTED ON 1/18/2022 CLOSED ON 2/14/2023

What are the responsibilities and job description for the Associate / Sr. Associate, Customer Success Strategy & Operations, Business Intelligence - Talent Solutions position at LinkedIn?

Company Description

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

Are you searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.

Job Description

This role can be located in New York-NY or San Francisco-CA depending on where the hired candidate for the role currently resides.

Our Sales Strategy & Operations organization is responsible for building and maintaining the ultimate go-to-market engine and operational foundation that enables our organization to run effectively and efficiently. We are looking for an Associate to join our Customer Success Strategy & Ops team to build and scale capabilities relating to global operational analytics, data foundations, and reporting across the LinkedIn Pan-Talent CS business.

In this role, you will have the opportunity to work on large cross-functional programs requiring close collaboration with both technical and non-technical stakeholders. A successful candidate will have a strong internal drive, a passion for learning, and energy to foster close partnerships with business teams to explore data and new technologies to solve complex problems at scale. The role will require you to:

  • Lead as a thought partner with CS Ops Leadership on focus areas related to data foundations and reporting
  • Execute on business intelligence strategy for the pan-talent organization and drive development of reporting infrastructure to operationalize
  • Own CS data foundations to enable scalable, streamlined reporting

The ideal candidate will have exceptional analytical skills and be adept at deriving and distilling actionable insights from large amounts of data. You will analyze data using SQL, own the central reporting infrastructure, maintain the core data foundations for CS Ops reporting, and identify new scalable opportunities for standardization across sales reporting and analytics to create best-in-class business intelligence & reporting across SaaS.  

Responsibilities:

  • Develop deep understanding of the key metrics for the pan-talent business (Talent, Learning, and Glint)
  • Partner closely across our CS Ops team to shape future reporting strategy and execute on the vision for pan-Talent business intelligence & reporting
  • Collect business intelligence requirements from our global sales leadership/sales operations team and help define the BI priorities and roadmap
  • Gather technical requirements for dataset implementation to ensure CS Ops business requirements are represented and met
  • Contribute to the design and implementation of data foundations to support the transition to pan-talent
  • Support development, management, and ongoing governance of CS metrics
  • Develop dashboards intake process and automate reporting tools leveraging large amounts of data that deliver new insights and support more timely and effective business decisions

Qualifications

Basic Qualifications:

  • Bachelor’s Degree
  • 3 years of work experience in Analytics, Consulting, Finance, or Product Management
  • 2 years in visualization technologies, especially Tableau
  • 2 years SQL skills and experience querying large, complex data sets from Data Warehouses

Preferred Qualifications:

  • Familiarity with JIRA
  • Experience in a cross-functional data analytics role
  • Understanding and passion for CRM and sales data
  • Experience developing data infrastructure or reporting using tools such as Alation, Presto, GitHub
  • Demonstrated record of intellectual curiosity, strong work ethic and drive for success
  • Advanced skill levels for Excel including macros, complex charts and pivot tables
  • A strong understanding of SaaS sales organizations and sales processes or a demonstrated genuine interest in learning the space
  • Familiarity with programming languages (or eagerness to learn)

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 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: https://lnkd.in/equalemploymentopportunity2017. Please reference the following information for more information: https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf.  Please reference the following information for more information:  https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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 [email protected] 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.

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