Data and Business Intelligence Associate

Linkedin US • Sunnyvale, CA

4d • Hybrid

About The Position

Client is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. 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 office, depending on what’s best for you and when it is important for your team to be together. Client’s data teams leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1B members around the world, a focus on great user experience, and a mix of B2B and B2C programs, client offers countless ways for an ambitious data developer to have an impact and transform their career. We are looking for a Business and Data Intelligence Associate to join our team. In this role, you will work with cross-functional partners and develop data foundations, data pipelines, data visualization assets and analysis to enable data-driven decision-making for the Customer Success organization. This is a 12 month contract role.

Requirements

• Bachelor's Degree in a quantitative discipline
• 4 years of experience with SQL/relational databases
• 2 years of business analytics experience in a medium-to-large company with demonstrated ability to navigate complex data environments and provide guidance to business leaders
• 4 years of relevant industry or relevant academia experience working with large amounts of data
• 2 years experience in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)
• 2 years of experience in data visualization and dashboard design

Nice To Haves

• MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering
• Statistical modeling project experience with regression models, tree models
• Data pipeline development experience
• Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
• Experience on a / adjacent to a Business Intelligence team
• Self-starter, able to work independently but ask for guidance when needed
• Ability to speak comfortably in a variety of settings including one-on-one and in front of large groups and adapt communication style for different audiences.
• Nimble and comfortable with ambiguity; a track record of responding quickly to rapidly evolving opportunities.

Responsibilities

• Design, develop, and maintain data tools and analytics dashboards to automate processes and provide real-time insights into customer metrics and product usage.
• Write scalable and efficient SQL to encode business logic, and develop robust pipelines on the client data stack.
• Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses.
• Lead data projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization.
• Work closely with cross functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives.
• Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level