Job Description
Data & Business Intelligence Associate 12714
A leading professional development and networking company is seeking a Data & Business Intelligence Associate. The successful candidate will lead data-driven recommendations and insights to support strategic projects across Central Operations. The ideal candidate has 4+ 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 & Business Intelligence Associate Pay and Benefits:
- Hourly pay: $47-$65 (Pay varies based on candidate’s location and experience)
- Worksite: Leading professional development and networking (Remote, Candidates must be located in the United States)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
- 40 hours/week, 12 Month Assignment
Data & Business Intelligence Associate Responsibilities:
- Lead data-driven recommendations and insights to support strategic projects across Central Operations.
- Understand the business, track operational performance, and 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 & Business Intelligence Associate Qualifications:
- 4+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
- A BS degree in a quantitative discipline is preferred.
- 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.
- Data analytics, collaboration, and communication skills.