Oversee improvement of data quality & processes; Analyze & structure data to support development & implementation of product analytics; Clean data sets, create scripts to optimize analytics & ensure compliance.
Required experience:
- Scripting in Python, R, Spark, SQL
- Working with data ecosystem & processes
- Data in various forms (data warehouses/SQL, unstructured data)
- Utilize & develop within AWS to analyze data stored in Amazon S3 using Athena queries
- Create dashboards to display product usage metrics
- Utilize math & analytical skills to solve problems
- Query, analyze, & work with Python, SQL, Elasticsearch, Postgres, Databricks, Snowflake, Excel, Jira, Confluence, BI Toolsets
- Mixpanel & Google Analytics
- API platforms Postman & Swagger
- Data modeling & advanced MS Excel
- JIRA, Zendesk & Salesforce to manage projects
Requirements:
Master's degree or foreign equivalent in Analytics, Business Analytics, Data Science or related field, & 2 years experience as Data Analyst, Data/Analytics Intern or related occupation.
Option to work from home.
Application Instructions:
Send C.V. to bcooper@censia.com.
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