Data Analyst (Remote)
•Jobgether· 8h
🏷️ Data Science⏰ Full-time👔 Executive📍 Malaysia
8h ago
Linkedin·12 days ago
This position can be performed in New York City, Sunnyvale, or San Francisco 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.
At LinkedIn we believe that marketing is what accelerates business growth and that nearly all the levers of business growth are driven by marketing. Because of this, we are passionate about helping marketers unlock growth for their companies and seeing them thrive. We work with our customers to empower them to make more effective marketing and business decisions with insights leveraging one of the richest proprietary data sets in the world.
Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in advancing our vision to create economic opportunity for every member of the global workforce by helping organizations thrive and grow through marketing excellence. LinkedIn Marketing Solutions (LMS) Customer Insights team is seeking a dynamic, visionary Strategic Insights Analyst with a strong technical background and proven expertise in marketing analytics and campaign measurement innovation to join our global team, responsible for developing and scaling leading-edge insights and measurement advisory solutions to support our sales teams with deepening strategic relationships with our marketing customers and driving commercial outcomes powered by the experiences of LinkedIn’s 1B+ members spanning over 200 countries and territories.
As a Strategic 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. You will be tasked with communicating custom insights, driving project effectiveness and stakeholder relationships, developing solutions for business problems, and analyzing data to provide actionable insights, all while maintaining coding standards and adhering to data privacy guidelines.
Key responsibilities in this client-facing role include conducting and scaling 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 be seen as an expert at 1) using coding languages to extract data from LinkedIn’s massive data warehouse, 2) turning that data into compelling stories that help our clients become more successful, 3) crafting holistic measurement solutions using your deep knowledge of the LI measurement suite and industry best practices and 4) coaching and mentoring other analysts on the team.
Responsibilities:
Insights Generation & Delivery: Extract and analyze LinkedIn and third-party data using SQL, Python, and visualization tools (e.g., Tableau, Excel), translating findings into actionable business insights and clear presentations.
Innovative Analytics & Measurement: Develop and scale innovative analyses and measurement solutions that address business challenges including proving and improving customer value. Provide expert consultancy on bespoke measurement strategies aligned to customer needs.
Cross-Functional Collaboration: Lead Cross-functional workstreams including Sales, Marketing, Product, Engineering, and/or Support teams to drive innovation and deliver business impact.
Client Engagement & Enablement: Represent the Marketing Science & Technology org in senior client meetings, executive briefings, and support enablement activities to drive adoption and understanding of Insights solutions.
Project & Process Management: Lead and manage custom marketing science projects, including planning, stakeholder communication, timeline oversight, and project execution to optimize deliverables.
Stakeholder Advocacy: Serve as a subject matter expert for stakeholders by understanding needs, providing recommendations, and promoting data-driven decision making to unlock business growth.
Data Privacy & Governance: Adhere to data privacy, security, and exemplify coding standards to ensure compliant handling and sharing of data across all projects and stakeholders.
Basic Qualifications
Bachelor's degree in marketing, math, statistics, economics or related quantitative field
8+ years' experience working in marketing analytics or related analytical field
5+ years' experience using SQL or similar querying language
5+ years' experience in a consultative or advisory role
3+ years' experience in project or program management
Preferred Qualifications
11+ years' experience working in marketing analytics or related analytical field
8+ years' experience using SQL or similar querying language
6+ years' experience in a consultative or advisory role
4+ 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 $126,000 to $204,000. 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.
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are 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 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:
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.