Senior Data Analyst - Strategic Finance, Ecosystem (Remote)

eTeam • United State
Remote
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AI Summary

Lead data-driven insights for strategic projects, track operational performance, and build dashboards using tools like Tableau, SQL, and Python. 6-month contract with potential extension.

Key Highlights
Drive strategic projects with data-driven recommendations
Track operational performance and provide insights
Build and maintain data warehouse tables using SQL
Experience with distributed data systems and programming languages
Key Responsibilities
Lead data-driven recommendations and insights for strategic projects
Understand the business, track operational performance, and provide insights
Support company-wide programs through ownership of analytical projects
Build dashboards and automated reports using data visualization and querying/analysis tools
Own data tables and ensure data accuracy, consistency, and timeliness
Technical Skills Required
Tableau SQL Python Data visualization Data querying/analysis
Benefits & Perks
100% Remote work
Nice to Have
Experience in communicating effectively and presenting to Senior Executives
Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)

Job Description



Job Title: Data Analyst, Ecosystem Strategic Finance
Location: 100% Remote
Duration: 6-months, extension TBD


We are looking for a Data & BI Analyst to join our team.

Responsibilities:
• Lead data-driven recommendations and insights to support strategic projects across the Ecosystem's 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

Basic 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)

Suggested Skills:
• Data analytics
• Collaboration

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