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Sr. Insights Analyst, Marketing Solutions

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 serve our clients and agencies through intelligent decision support.  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 clients and LinkedIn 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
  • 3+ years' experience working in marketing analytics or related analytical field
  • 3+ years' experience using SQL or similar querying language  
  • 3+ years' experience in a consultative or advisory role  
  • 1+ years' experience in project or program management 

 

Preferred Qualifications:  

  • 5+ years' experience working in marketing analytics or related analytical field
  • 4+ years' experience using SQL or similar querying language  
  • 4+ years' experience in a consultative or advisory role  
  • 2+ years' experience in project or program management 
  • Experience with data analysis, data visualization and storytelling   
  • Experience in performance and digital marketing with familiarity of the media agency landscape 
  • Ability to communicate findings clearly to both technical and non-technical audiences  
  • Excellent interpersonal, communication, writing, and presentation skills 

 

Suggested Skills: 

  • Digital Marketing   
  • Performance Marketing    
  • Data Analysis    
  • Data Storytelling    
  • Data Visualization   

LinkedIn is committed to fair and equitable compensation practices.   

The pay range for this role is $102,000 to $160,000. 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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What You Should Know About Sr. Insights Analyst, Marketing Solutions, LinkedIn

Are you ready to take your career to the next level with LinkedIn as a Sr. Insights Analyst in San Francisco, CA? This exciting role lets you dive into one of the world’s most extensive data sets to uncover insights that drive intelligent decisions for our clients and agencies. Imagine leveraging your analytical prowess to craft compelling narratives that help shape marketing strategies. Here at LinkedIn, we value a culture of trust, care, and inclusion. As you collaborate with cross-functional teams, you’ll create custom analyses and innovative tools, guiding clients in their digital marketing journey. Your expertise in SQL and your ability to manage multiple tasks in a dynamic setting will allow you to thrive. Plus, the hybrid work option means you can balance working from home with time at our office, ensuring you stay connected while being flexible. If you have a knack for storytelling through data and enjoy advising others with your insights, this position is tailor-made for you. Join us in transforming the way the world works by using your skills to implement data-driven solutions that lead to success for our clients—and for LinkedIn. Let’s create opportunities together!

Frequently Asked Questions (FAQs) for Sr. Insights Analyst, Marketing Solutions Role at LinkedIn
What are the core responsibilities of a Sr. Insights Analyst at LinkedIn?

As a Sr. Insights Analyst at LinkedIn, your core responsibilities include conducting custom analyses and generating actionable insights from our extensive data. You will be preparing and delivering presentations to clients and agencies, working closely with sales teams to impact client success. Additionally, you will leverage SQL and other coding languages to extract and analyze data, transforming it into compelling narratives that help LinkedIn's clients make informed marketing decisions.

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What qualifications are needed for the Sr. Insights Analyst position at LinkedIn?

To qualify for the Sr. Insights Analyst role at LinkedIn, you need a Bachelor's degree and at least 3 years of experience in marketing analytics or a related analytical field. Experience with SQL or similar languages is essential, and having a background in a consultative or advisory role will give you an edge. Preferred qualifications include 5 or more years of experience in marketing analytics, strong skills in data visualization, and familiarity with performance marketing.

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How does the Sr. Insights Analyst at LinkedIn interact with other teams?

In the Sr. Insights Analyst role at LinkedIn, collaboration with various teams is a key aspect of success. You will partner closely with sales, marketing, product, and insights teams to provide comprehensive analysis, reporting, and to build tools that serve our stakeholders effectively. Building these cross-functional relationships is critical in bringing innovative ideas to market and responding to clients' analytical needs.

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What technical skills are essential for the Sr. Insights Analyst role at LinkedIn?

Technical skills essential for the Sr. Insights Analyst position at LinkedIn include proficiency in SQL or similar querying languages, as they are crucial for extracting and analyzing data from LinkedIn's vast databases. Additionally, experience in data visualization tools such as Tableau, Excel, or PowerPoint is necessary for creating and presenting findings. Familiarity with coding languages like Python is also beneficial for this role.

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What type of work environment can a Sr. Insights Analyst expect at LinkedIn?

At LinkedIn, the work environment for a Sr. Insights Analyst is both collaborative and flexible. With a hybrid work model, you can manage your work-from-home days alongside in-office time, allowing for rich interpersonal interactions and team cohesion. This role also promotes a culture of trust and inclusion, with opportunities for professional growth and development as you contribute to innovative data-driven decisions.

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Common Interview Questions for Sr. Insights Analyst, Marketing Solutions
How do you approach analyzing large data sets as a Sr. Insights Analyst?

In analyzing large data sets, I first clarify the objectives by discussing with stakeholders to understand their goals. I then use SQL to query the relevant data and focus on metrics that align with those objectives. Utilizing data visualization tools helps me transform raw data into actionable insights, which I synthesize into coherent narratives for presentation to clients.

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Can you explain a situation where your data insights significantly impacted a client's decision?

Certainly! In my previous role, I conducted an analysis for a client who was struggling with low engagement metrics. By extracting data on user interactions and applying segmentation strategies, I identified key demographic trends and presented those findings, leading to a targeted marketing campaign that significantly boosted engagement rates.

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What strategies do you use to communicate complex data to non-technical audiences?

I focus on using clear and relatable language, avoiding jargon while emphasizing the key insights. Visual aids such as charts and graphs also help convey complex data in an understandable format. I tailor my presentations to highlight the real-world implications of the data, ensuring stakeholders grasp the significance of the insights presented.

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How do you balance multiple projects while ensuring quality data analysis?

Balancing multiple projects requires effective prioritization and organization. I typically start by assessing deadlines and the complexity of each task. Using project management tools to track progress helps me stay on schedule, while regular check-ins with stakeholders allow for timely feedback and adjustment to ensure quality results across all projects.

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What experience do you have with SQL or similar querying languages?

I have over 4 years of experience with SQL, particularly in data extraction and analytical functions. I have also used Hive and Python for more complex data manipulation tasks. My experience includes creating queries that efficiently retrieve large data sets used for performance analysis, ensuring I can derive actionable insights from the dataset.

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Describe a time when you had to work with a difficult stakeholder. How did you handle it?

I once managed a project with a stakeholder who had vague requirements, which led to confusion. To address it, I organized a meeting to ask detailed questions and gain clarity on their expectations. This proactive approach not only built rapport but also ensured that we were aligned on goals, leading to a successful project outcome.

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How would you use LinkedIn's data to provide insights for a client?

I would leverage LinkedIn's unique data by first understanding the client's goals and identifying relevant social media metrics. Utilizing SQL to extract necessary data, I would analyze patterns and trends to reveal insights that inform the client's marketing strategies, ultimately aiming to optimize their campaigns and improve ROI.

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What tools do you prefer for data visualization, and why?

I prefer tools like Tableau and Excel for data visualization because they offer robust features for turning data into comprehensible visual narratives. Tableau, for instance, allows for complex visualizations with interactivity, while Excel is excellent for quick analyses and basic visualizations. I select the tool based on the project's requirements and audience.

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How do you keep current with trends in marketing analytics?

To stay up-to-date with trends in marketing analytics, I subscribe to industry newsletters, attend webinars, and participate in relevant forums. Engaging with professional networks, including LinkedIn groups focused on analytics, helps me gain insights from peers and stay informed on emerging tools and methods.

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In what ways can storytelling enhance data presentations?

Storytelling enhances data presentations by making the insights relatable and memorable. By framing the data within a narrative context, it creates a connection with the audience. This approach helps highlight the significance of the data findings, encourages engagement, and drives actionable outcomes for the stakeholders involved.

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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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December 4, 2024

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