Summary
eTeam is seeking a Data & BI Analyst to join their team. The role involves leading data-driven insights to support strategic projects and building dashboards to track operational performance.
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
Skills
- 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
- 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)
Qualifications
Must Haves
- 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
Nice to Haves
- 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)
Benefits
- Duration: 6 months
- Work_model: remote
- Job Title : Data Analyst, Ecosystem Strategic Finance (Location: Remote)
- Position_type: Contract