Data Insights – Tech Sr Associate

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 Sunnyvale or Mountain View, CA. 

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.

We are looking for a Sr. Associate, Business Intelligence and Data Foundations to help build and scale operational analytics, data foundations, and reporting capabilities for LinkedIn’s Customer Success operations. This is a unique opportunity to lead the development of data foundations and reporting solutions that are (a) purpose-built for our stakeholders, (b) future-proofed for a rapidly changing customer success landscape, (c) scalable across all lines of business, and (d) designed to enable scaled optimization and to surface actionable insights to the right people at the right time.

In this role, you will have the opportunity to work on large cross-functional programs requiring close collaboration with both technical and non-technical stakeholders, enabling business partners across global Customer Success teams across the LinkedIn Talent Solutions (LTS) and LinkedIn Sales Solutions (LSS) businesses to make informed decisions, manage risks, and identify opportunities across multiple business areas. Furthermore, you will own the central reporting infrastructure, core data foundations and other exciting analytics related initiatives. 

We’re looking for someone who thrives in bringing structure to ambiguity, designing data-driven solutions, and measuring business and consumer impact. You have substantial experience with analytical tools and techniques, and bring a solid skill-set in analyzing data and communicating recommendations. You combine analytical rigor, investigative skills and a growth mindset to build data driven learnings at scale. 

Responsibilities: 

• Own end-to-end development of scalable data assets including data foundations, dashboards and automated reports that augment our stakeholders’ ability to make effective decisions quickly

• Execute global data analytics initiatives including solution design, roadmap development, prioritization, and successful implementation

• Write SQL/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings either in Gainsight, Tableau, PowerBI, or other similar reporting tools

• Partner closely with our Member and Customer Success teams to turn data into action, and provide recommendations to influence and shape the product strategy and roadmap 

• Connect signals we have from our members and customers across, including but not limited to: product utilization data, customer support cases, customer call conversations, social media mentions, behavioral data on the platform, and more 

• Help develop the predictive analytics engine in partnership with Data Science to help drive operational efficiency for internal teams

• Collaborate closely with Customer Success, Global Support, and Product teams to provide analysis, reporting and tool-building capabilities that inform our key stakeholders. 

• Proactively identify opportunities to scale insights through automation and self-serve mechanisms 

• 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

• Lead engagements with cross-functional teams including, Marketing, Data Science, Engineering, and Business Operations teams in order to identify opportunities, design, and deliver results. 

Qualifications

Basic Qualifications  

• A degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.

• 6+ years of relevant work experience 

• 4+ years of experience in SQL 

• 4+ years of experience developing reporting solutions and dashboards using visualization tools (e.g. Pow