Data & Business Intelligence Analyst

Data & Business Intelligence Analyst 15711

• Hourly pay: $55-$65/hr
• Worksite: Leading professional development and networking company (Sunnyvale, CA or San Francisco, CA - Hybrid, Must be onsite 2+ days/week, flexible on days, Candidates local to Sunnyvale are preferred)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 12 Month Assignment

A leading professional networking company seeks a Data & Business Intelligence Analyst. The successful candidate will lead data-driven recommendations and insights to support strategic projects across MCS. The company offers a great work environment!

Data & Business Intelligence Analyst Responsibilities:

• Lead data-driven recommendations and insights to support strategic projects across MCS.
• Understand the business, track operational performance, provide insights and recommendations.
• 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).

Data & Business Intelligence Analyst Qualifications:

• 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics
• BS degree in a quantitative discipline.
• Experience in communicating effectively and presenting to Senior Executives is preferred
• Experience with manipulating massive-scale structured and unstructured data is preferred.
• Experience creating and maintaining business-critical data warehouse tables using SQL is preferred.
• Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.) is preferred.
• Ability to leverage numbers and insights to influence & drive sound decision making is preferred.
• Ability to build strong partnerships and collaborate with stakeholders is preferred
• Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript) is preferred.

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