AI Summary
Lead data-driven recommendations, build dashboards, and own data tables to support strategic projects across Ecosystem strategic finance. Collaborate with stakeholders and communicate insights to Senior Executives. Utilize data visualization and querying tools to drive sound decision making.
Key Highlights
Lead data-driven recommendations and insights to support strategic projects
Build dashboards and automated reports using data visualization and querying tools
Own data tables and work with stakeholders to ensure accurate and timely data
Technical Skills Required
Benefits & Perks
Salary: $45-$58
Fully remote work
6-month contract
Job Description
Title: Data Analyst – Ecosystem Strategic Finance
Pay: $45-$58 – pay will be determined by location of candidate
Type: fully remote
Duration: 6 months
Key Responsibilities:
- Lead data-driven recommendations and insights to support strategic projects across Ecosystem strategic finance
- Understand the business, track operational performance, 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
Qualifications:
- BS degree in a quantitative discipline
- 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics
Preferred Qualifications:
- Ability to leverage numbers and insights to influence & drive sound decision making
- Ability to build strong partnerships and collaborate with stakeholders
- 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, Pig, Hive, etc.)
- Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)