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.