Data Analyst
eTeamSunnyvale, CAJob Title: Data Analyst, Ecosystem Strategic Finance.Duration: -months, extension TBD.We are looking for a Data & BI Analyst to join our team.Lead data-driven recommendations and insights to suppor... Show more
Sql data analyst • san jose ca
Job Title: Data Analyst, Ecosystem Strategic Finance.Duration: -months, extension TBD.We are looking for a Data & BI Analyst to join our team.Lead data-driven recommendations and insights to suppor... Show more
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MessageBody">Job Description:</b> </p> <p>1.Strong in advance SQL</p> <p>2.Good at data analysis</p> <p>3.Should be able to build BI dashboards ... Show more
The average salary range is between $ 85,000 and $ 125,420 year , with the average salary hovering around $ 95,000 year .
The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
Job Title: Data Analyst, Ecosystem Strategic Finance
Location: % Remote
Duration: -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 (, 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
• 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 (, R, Python, Java, Scala, PHP, JavaScript)
Suggested Skills:
• Data analytics
• Collaboration