Internet
DataInsights-TechSeniorAssociate
Neural analysis suggests this role is
optimal for mid candidates.
“Data Insights - Tech Senior Associate at LinkedIn. Skills: SQL, Spark, Advanced Analytics, Data Engineering. Design, build, and maintain tables. Maintain pipelines within data environment”
Industry & Context.
Deriving, distilling and articulating actionable business insights
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Physics, Economics, Business Information Technology or related field, 2+ years of experience working with data systems or tools in a business setting, 5+ years of SQL experience, 5+ years of experience with data engineering tools (Airflow, Spark, etc.), Fluency in English and Portuguese
Nice to Have
Experience presenting data or other technical concepts to senior stakeholders, Proven experience managing a large group of stakeholders and independently driving global projects, Experience with Sales Operations processes and CRM systems (e.g., SFDC and Dynamics), Experience in at least one programming language such as R, Python, Java, Scala, PHP, or JavaScript
What You'll Do.
Maintain pipelines within data environment
Apply architectural principles
Develop/deploy predictive models
Write SQL/Python queries
Generate actionable insights
Build cross-functional relationships
Partner effectively with teams
Drive project success
Make business recommendations
Convey findings at multiple levels
How You'll Work.
Team & Collaboration
Collaborate closely with sales, marketing, engineering and data teams; Build cross-functional relationships; Partner effectively with other teams
Communication Scope
Using communication skills; Effectively collaborate; Conveying findings at multiple levels
Process & Methodology
Independently driving global projects
Full Job 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. 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 ideal candidate will have strong SQL skills to be able to develop, maintain, and improve data assets and pipelines. The candidate should also have strong analytical skills and be adept at deriving, distilling and articulating actionable business insights from large amounts of data. They will contribute to building and maintaining the data environment, and building and enabling solutions for GTM 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 advanced analytics techniques. Using strong communication skills, the role will effectively collaborate with a variety of people and job functions, accomplishing tasks of high complexity and scope, and can perform professionally in a challenging and extremely fast-paced environment. What You’ll Do: * Design, build, and maintain tables and pipelines within a large-scale data environment, applying architectural principles and data engineering best practices to ensure scalable and usable foundations * Leverage Li
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