Data & Business Intelligence Analyst

Cypress HCM

San Francisco, CA, USA

Published: 6/14/2022

Full Time

Job Description
Data and Business Intelligence AssociateOverview:

We are 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 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 Data & BI Analyst to join our team.
Location: Sunnyvale, CA or San Francisco, CA
Work Schedule: Full Time, Hybrid (2+ days/week)

Responsibilities:

Lead data-driven recommendations and insights to support strategic projects across MCS
Understand the business, track operational performance, provide insights and recommendations
Support company-wide programs through ownership of analytical projects
Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, Power BI, SQL, Python)
Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
Own technical implementations and documentation associated with datasets and strive for 100% accuracy
Possibility to learn & implement advanced analytics tools for optimization (e.g., Cloud hosting, Job automation, Artificial Intelligence techniques, Natural Language generation)

Basic Qualifications:

BS degree in a quantitative discipline
2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics

Preferred Qualifications:

Ability to leverage numbers and insights to influence & drive sound decision making
Ability to build strong partnerships and collaborate with stakeholders
Experience in communicating effectively and presenting to Senior Executives
Experience with manipulating massive-scale structured and unstructured data
Experience creating and maintaining business-critical data warehouse tables using SQL
Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)

Suggested Skills:

Compensation:

Req# 15711