Business Analytics Associate

Company: LinkedIn
Location: San Francisco
Posted on: June 25, 2022

Job Description:

Company DescriptionLinkedIn 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.Job DescriptionInterested in building a data driven business? The Business Analytics team is looking for a Business Analytics---Associate to join us managing the data needs of LinkedIn's Global Business Organization (GBO). Spanning data capture, architecture, reporting, integration, and governance, you will be the bridge connecting the business and its engineering partners. You will gain a broad spectrum of experience applying your technical data skills to drive strategy and improve company operations.This role will be a good fit for a high energy candidate with exceptional quantitative, communication, and project management skills. You'll have the opportunity to apply your deep understanding of System Design and Analytics to optimize our end-to-end data architecture and reporting capabilities while influencing LinkedIn's broader data strategy.Responsibilities: ------

• Partner with our Global Business Organization (GBO) teams to understand LinkedIn's analytics needs and to define---reporting, dashboarding, and data requirements
• Implement and support critical data models, datasets, and dashboards across our operational reporting ecosystem (Anaplan, PowerBI, Tableau, etc.)
• Support technology migration efforts via audits and robust project management
• Oversee processes to review requirements and identify opportunities for standardization and simplification to shape our Business Intelligence roadmap
• Leverage best practices for accessing and utilizing data, and share them across LinkedIn
• Partner with Data Science and Engineering to build the optimal platform to support our data processing and consumption needs
• Communicate effectively with both technical stakeholders and senior business leaders QualificationsBasic Qualifications:---
  • 3+ years of work experience---
  • 2+ years of experience with SQL or equivalent
  • Bachelor's degree in Math, CS, Economics, Business, Science, Engineering---or other quantitative field, OR equivalent experience Preferred Qualifications: ------
    • Analytics experience: 5+ years of experience---in consulting, strategy, analytics, product management, or technical roles------
    • Natural problem-solver: Comfortable with data and ambiguity; able to both delve into the details and operational tactics, and engage about the big picture
    • Proactive and passionate about results: Independently capable of seeking information, solving conceptual problems, and delivering results in challenging situations
    • Highly analytical: Experience decomposing and solving real world business problems including querying data, building models, and developing data visualizations
    • Independent operator: Ability to act with limited oversight on day-to-day basis, balancing multiple priorities
    • Adaptable to---change:---excited---by working in a quickly evolving team---
    • Effective communicator: Excellent communication skills with the ability to distill complex thoughts and strategies into simple, actionable recommendations
    • Tech Industry or SaaS experience: Subject matter expertise in B2B sales processes and/or experience working in high-growth, performance focused environments
    • Partner to senior leaders: Experience working closely with senior executives to solve challenging business problems; Ability to credibly and compellingly present and advocate recommendations with senior leadership Additional InformationEqual Opportunity StatementLinkedIn 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 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 interviewA 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. 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.

Keywords: LinkedIn, San Francisco , Business Analytics Associate, Other , San Francisco, California