Data Insights Tech Senior Associate

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 LinkedIns 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 Youll 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 LinkedIns unique data to create innovative analyses including developing/deploying predictive models (e.g. forecasting and classification) 

• Write SQL/Python queries to extract necessary data analyze the results to generate actionable insights and present the findings 

• 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:

• Bachelors degree in Computer Science Information Systems Engineering Mathematics Statistics Physics Economics Business Information Technology or related field and 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

Preferred Qualifications:

• 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. 

Suggested Skills:

• Data Engineering 

• Data Analysis 

• Data visualization/Business Intelligence (BI) 

• Stakeholder Management 

• Cross-Team Collaboration 

Additional Information :

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No

Employment Type :

Full-time