Ecosystem Strategic Finance Data Analyst 16192
- Hourly pay: $40-$55/hr (Pay varies based on the candidate's experience and location)
- Worksite: Leading professional development and networking company (Remote, Candidates must be located in the United States)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
- 40 hours/week, 6 Month Assignment
A leading professional networking company seeks an Ecosystem Strategic Finance Data Analyst.The successful candidate will lead data-driven recommendations and insights to support strategic projects across the ecosystem's strategic finance. The company offers a great work environment!
Ecosystem Strategic Finance Data Analyst Responsibilities:
- Understand the business, track operational performance, and provide insights and recommendations.
- Support company-wide programs through ownership of analytical projects.
- 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.
Ecosystem Strategic Finance Data 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.
- 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.
- 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.
- Background in at least one programming language (e.g., PHP, JavaScript) is preferred.
- Experience in the consumer tech industry for familiarity with engagement metrics (e.g., DAU, WAU) is preferred.
- The ability to handle sensitive data responsibly is critical.
- SQL experience sufficient for combining tables and generating metrics, ability to write complex queries, combine multiple tables, and derive metrics.
- Familiarity with data analysis tools; no dashboards or visualization required.
#PP
This is a remote position.
