• Full Time
  • New York
  • 102,000 $ / Year

LinkedIn

linked in jobs in New York

Job highlights

Identified by Google from the original job post

Qualifications

  • To be successful in this role you need to be highly analytical, with a strong intellectual curiosity and be comfortable responding to and structuring ambiguous requests
  • You will also have a passion for querying databases in SQL or have comparable technical skills
  • You must be able to juggle multiple tasks in a fast-paced environment and work with sales teams to figure out exactly what is impactful to clients
  • Bachelor’s degree
  • 5+ years of experience in an analytics or consulting role
  • Experience analyzing data in SQL, Excel, SAS or other similar software
  • Experience building visualizations with data
  • Digital Marketing
  • Data Storytelling
  • 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

Benefits

  • LinkedIn is committed to fair and equitable compensation practices
  • The pay range for this role is $102,00 to $160,00
  • 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

Responsibilities

  • This role will be based in Chicago, New York City, San Francisco, Mountain View or Sunnyvale
  • Insights Analyst, you will leverage one of the richest proprietary data sets in the world to discover insights that help our advertising sales team serve our clients and agencies
  • Your stakeholders will not always know what is possible, so it is important that you ask effective questions to get clarity in addition to managing expectations on what you can deliver
  • Key responsibilities in this client-facing role include conducting custom analyses, preparing and delivering client and agency presentations, providing consultative advice to LinkedIn’s top sales reps and responding to client and agency requests
  • You will become an expert at using coding languages to extract data from LinkedIn’s massive data warehouse and turning that data into compelling stories that help our clients become more successful
  • Leverage LinkedIn’s unique data to create innovative, custom analyses and tools to address business challenges
  • Write SQL/Hive/Pig/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings either in Tableau, Excel or PowerPoint
  • Understand LinkedIn’s marketing ecosystem and bring new ideas in social media analytics and measurement to market that help end-clients make better marketing decisions
  • Collaborate closely with the sales, marketing, product and insights teams to provide analysis, reporting and tool-building capabilities that inform our key stakeholders
  • Build cross-functional relationships and partner effectively with other teams for collaborative opportunities
  • Develop scalable and repeatable playbooks/narratives for internal and external stakeholders
  • Develop custom analyses narratives to help our clients and prospects better understand the value of LinkedIn data as related to digital marketing
  • Serve as a strategic advisor to internal and external stakeholders as it pertains to data usage, insights, and measurement
  • Travel requirements: approximately 10% of the time for team offsite, LinkedIn conferences, and client meetings

Job description

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

This role will be based in Chicago, New York City, San Francisco, Mountain View or Sunnyvale.

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.

As a Sr. Insights Analyst, you will leverage one of the richest proprietary data sets in the world to discover insights that help our advertising sales team serve our clients and agencies. To be successful in this role you need to be highly analytical, with a strong intellectual curiosity and be comfortable responding to and structuring ambiguous requests. You will also have a passion for querying databases in SQL or have comparable technical skills. You must be able to juggle multiple tasks in a fast-paced environment and work with sales teams to figure out exactly what is impactful to clients. Your stakeholders will not always know what is possible, so it is important that you ask effective questions to get clarity in addition to managing expectations on what you can deliver.

Key responsibilities in this client-facing role include conducting custom analyses, preparing and delivering client and agency presentations, providing consultative advice to LinkedIn’s top sales reps and responding to client and agency requests. You will become an expert at using coding languages to extract data from LinkedIn’s massive data warehouse and turning that data into compelling stories that help our clients become more successful.

Responsibilities:
• Leverage LinkedIn’s unique data to create innovative, custom analyses and tools to address business challenges
• Write SQL/Hive/Pig/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings either in Tableau, Excel or PowerPoint
• Understand LinkedIn’s marketing ecosystem and bring new ideas in social media analytics and measurement to market that help end-clients make better marketing decisions
• Collaborate closely with the sales, marketing, product and insights teams to provide analysis, reporting and tool-building capabilities that inform our key stakeholders
• Build cross-functional relationships and partner effectively with other teams for collaborative opportunities
• Develop scalable and repeatable playbooks/narratives for internal and external stakeholders
• Develop custom analyses narratives to help our clients and prospects better understand the value of LinkedIn data as related to digital marketing
• Serve as a strategic advisor to internal and external stakeholders as it pertains to data usage, insights, and measurement
• Travel requirements: approximately 10% of the time for team offsite, LinkedIn conferences, and client meetings.

Qualifications

Basic Qualifications:
• Bachelor’s degree
• 5+ years of experience in an analytics or consulting role
• Experience analyzing data in SQL, Excel, SAS or other similar software
• Experience building visualizations with data

Preferred Qualifications:
• 2+ years of experience in digital marketing analytics
• Experience with Tableau
• Experience with data analysis and storytelling
• Ability to communicate findings clearly to both technical and non-technical audiences
• Excellent interpersonal, communication, writing, presentation, statistical and data analysis skills
• Experience with big data technologies like Hadoop
• Experience of working with agencies and a familiarity with the media agency landscape
• Expert knowledge of MS Office (Outlook, Word, PowerPoint and Excel)

Suggested Skills:
• Digital Marketing
• Performance Marketing
• Data Analysis
• Data Storytelling

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $102,00 to $160,00. 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

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: EEO Statement_2020 – Signed.pdf.

Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.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 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.

To apply for this job please visit jobs.smartrecruiters.com.

Greenzay Technologies

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