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Sr Associate, Analytics

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 San Francisco, Sunnyvale, New York or Chicago depending upon which location the applicant chosen for the role is currently residing.  

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.   

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.  

They will contribute to building and maintaining the data environment, thus enabling solutions in Business Intelligence, Advanced Analytics, and Sales Operations. This role is ideal for those passionate about creating and enhancing robust data systems supporting LinkedIn’s global operational analytics, with a focus on skills including SQL, Spark, and common scripting languages like Python. The work in this role will involve complex analytics initiatives across LTS and LSS, ensuring a stable and scalable foundation for every data-driven endeavor. The role extends beyond infrastructure, emphasizing close collaboration with business leaders, Data Science, Engineering, and Business Operations teams to ensure project success and efficient, effective delivery of data insights at the right moments. 

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

Basic Qualifications   

  • Bachelor's degree in related field or related practical experience 
  • 3+ years of experience in data-driven roles 
  • 3+ years of experience in SQL, analyzing and presenting data 
  • 2+ years of experience with Excel 
  • 1+ years of experience with PowerPoint 

Preferred Qualifications   

  • Demonstrated record of intellectual curiosity, strong work ethic and drive for success 
  • Ability to be self-motivated, proactive, and comfortable operating in a rapidly changing industry 
  • Strong problem-solving and project management skills 
  • Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences 
  • Proven experience managing a large group of stakeholders and driving global projects independently 
  • Experience with CRM systems, including Salesforce and Dynamics 365 
  • Experience with Power BI and Tableau 
  • Experience with Python 

Suggested Skills: 

  • SQL 
  • Analyzing data
  • Python

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $106,000 to $174,000. 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

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 [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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Average salary estimate

$140000 / YEARLY (est.)
min
max
$106000K
$174000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr Associate, Analytics, LinkedIn

At LinkedIn, we’re on the lookout for a passionate Senior Associate, Analytics to join our dynamic team in San Francisco, CA. This role is all about diving deep into global operational analytics and performance metrics within our Talent Solutions and Sales Solutions sectors. You’ll get to know the business inside and out, develop strategic roadmaps, and work extensively with various teams to drive impactful outcomes for our global customers. If you thrive in fast-paced environments and enjoy collaborating with business leaders across Marketing, Data Science, Engineering, and Business Operations, this is the perfect opportunity for you. Your strong SQL skills will allow you to develop and improve our data assets, translating complex data into actionable insights that drive decision-making. You will leverage tools like Tableau, Excel, and PowerPoint to convey your findings and create stunning dashboards that illuminate key metrics. Our ideal candidate thrives on making business recommendations and exhibits a proactive spirit that can adapt seamlessly to changes. If you're excited about building data systems that support LinkedIn's operational analytics and have a knack for SQL and Python, we would love to see what you can bring to our team. Join us and contribute to creating transformative opportunities for professionals around the world while fostering an inclusive workplace where everyone can succeed.

Frequently Asked Questions (FAQs) for Sr Associate, Analytics Role at LinkedIn
What are the main responsibilities of the Senior Associate, Analytics at LinkedIn?

As a Senior Associate, Analytics at LinkedIn, you will be responsible for leveraging data to create innovative analyses and dashboards, writing SQL and Python queries to extract and analyze data, collaborating with teams across the company to provide insights, and developing visual presentations of your findings. Your role will involve making actionable business recommendations that will drive decision-making across key departments.

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What qualifications are required for the Senior Associate, Analytics position at LinkedIn?

To qualify for the Senior Associate, Analytics position at LinkedIn, applicants should have a Bachelor's degree or related practical experience, at least 3 years in data-driven roles, strong SQL and analytical skills, and experience with tools like Excel and PowerPoint. Familiarity with CRM systems and visualization tools such as Tableau or Power BI will be a significant advantage.

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How can I excel in the Senior Associate, Analytics role at LinkedIn?

To excel as a Senior Associate, Analytics at LinkedIn, focus on honing your SQL skills for data manipulation, establish strong communication abilities for conveying complex insights, and cultivate relationships across various functions. Embrace a proactive mindset and demonstrate intellectual curiosity while adapting to the fast-paced environment unique to LinkedIn.

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What tools will I be using as a Senior Associate, Analytics at LinkedIn?

In the role of Senior Associate, Analytics at LinkedIn, you will primarily work with SQL, Python, and data visualization tools such as Tableau and Excel. Your day-to-day tasks will involve analyzing large datasets to derive insights and creating visually compelling dashboards and presentations for stakeholders.

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What is the working environment like for the Senior Associate, Analytics at LinkedIn?

The working environment for a Senior Associate, Analytics at LinkedIn is hybrid, encouraging a flexible balance between working from home and collaborating in the office. The culture at LinkedIn emphasizes trust, inclusion, and fun, creating a stimulating environment for personal and professional growth.

Join Rise to see the full answer
Common Interview Questions for Sr Associate, Analytics
Can you explain the role of SQL in your previous analytics work?

In previous roles, SQL served as the backbone for data extraction, manipulation, and analysis. I utilized complex queries to draw insights from databases, which informed business strategies and decisions. My familiarity with SQL has been crucial in creating reports and visualizations that drive stakeholder engagement.

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How do you handle large datasets to derive actionable insights?

I approach large datasets by first identifying key metrics and objectives, then using SQL to filter and clean the data. I employ analytical tools to reveal trends and patterns, ultimately distilling complex information into actionable insights, which I present in an easily digestible format for stakeholders.

Join Rise to see the full answer
Describe a time when you had to collaborate with multiple teams to achieve a goal.

In a recent project, I worked closely with marketing, sales, and engineering teams to develop a comprehensive dashboard that tracked campaign performance. By leveraging each team’s expertise and maintaining open communication, we successfully launched the dashboard, which became integral for real-time decision-making.

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What methods do you use to visualize data effectively?

To visualize data effectively, I leverage tools such as Tableau and Excel to create intuitive dashboards. I focus on simplicity, ensuring that the visualizations highlight key insights without overwhelming the audience. Using well-structured layouts and clear labels, I help stakeholders quickly grasp critical information.

Join Rise to see the full answer
How do you prioritize tasks in a fast-paced environment?

In a fast-paced environment, I prioritize tasks by assessing deadlines and business impact. I use project management tools to stay organized and regularly communicate with team members to ensure alignment. This approach allows me to adapt to shifting priorities while delivering quality insights on time.

Join Rise to see the full answer
What role does communication play in your work as an analyst?

Communication is crucial as an analyst; it allows me to translate complex data findings into actionable insights for various stakeholders. I actively engage with team members and leadership to share insights, gather feedback, and ensure that everyone is on the same page regarding project goals.

Join Rise to see the full answer
Can you provide an example of how you made a data-driven recommendation?

I once analyzed user engagement metrics and identified a decline in certain areas. Based on the data, I recommended targeted marketing strategies to enhance user experience. This data-driven recommendation led to a 15% increase in user engagement over the next quarter.

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What is your experience with data visualization tools?

I have extensive experience using Tableau and Power BI for data visualization. In my previous roles, I created various dashboards that provided actionable insights to business leaders, focusing on clarity and user engagement to ensure that the visuals effectively communicated key findings.

Join Rise to see the full answer
How do you ensure data accuracy in your analyses?

To ensure data accuracy, I implement a rigorous validation process, cross-checking the data against original sources when possible. Additionally, I document each step of my analysis to maintain transparency and re-evaluate assumptions. This level of diligence helps prevent errors and ensures reliable insights.

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What motivates you to work in analytics at LinkedIn?

I’m motivated by the opportunity to transform vast amounts of data into meaningful insights that can drive real change within an organization. Working at LinkedIn, a company that prioritizes innovation and career growth, provides a unique platform where my contributions can make a significant impact on the global workforce.

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Our mission is to create economic opportunity for every member of the global workforce and this vision connects our more than 16,000 employees in dozens of offices across five continents. It inspires us to invest in our talent, support career grow...

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