Data & BI Analyst

Data & BI Analyst 15068

A leading professional networking company is seeking a Data & BI Analyst. The successful candidate will lead data-driven recommendations and insights to support strategic projects across central operations. The ideal candidate has two or more years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics. The company offers a great work environment.

Data & BI Analyst Pay and Benefits:

• Hourly pay: $40-$55/hr (Pay varies based on the candidate's experience and location)
• Worksite: Leading professional development and networking company (Omaha, NE 68144, Hybrid - Must be onsite 2 days a week (Flexible on days), Open to remote candidates in the United States, Candidates local to Omaha are preferred)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
• 40 hours/week, 12 Month Assignment

Data & BI Analyst Responsibilities:

• Lead data-driven recommendations and insights to support strategic projects across central operations.
• 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, 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 & BI 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.
• 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, Airflow, Pig, Hive, etc.).
• Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript).
• Ability to leverage numbers and insights to influence & drive sound decision-making.
• Ability to build strong partnerships and collaborate with stakeholders.