We are looking for a team member with excellent communication skills, with a background in data analytics with strong logic and problem-solving skills. This team member will support growing data capabilities and emerging technologies for EDA.
The Work Itself
- Data analysis skills leveraging SQL and Python
- Develop self-service analytical tools in open-source tech for business analysts to perform next gen analytics and able to perform their functions easily.
- 1-2 years’ experience in implementing unsupervised and supervised machine learning algorithms to solve real world problems.
- Possess advanced data analysis skills to extract and analyze data fields from new data sources to propose strong business use case for consumption.
- 1-2 years of working knowledge of SQL, Python, R, and Databases with the ability to write complex SQL statements to build data tables and produce reports.
- Possess working knowledge of big data concepts and cloud data warehouse (Hadoop/ Snowflake)
- nderstand data governance concepts and work closely with engineering teams and governance teams to act as a data steward on data owned by business line.
- Stays current with industry trends and leads development of key data/analytics innovation platforms.
- Initiate, develop, and execute small to medium scale projects.
- Familiar with Power BI/Tableau/Cognos reporting tools
- Ability to automate data extracts production for business users needs by utilizing scheduling or scripting tools.
The Skills You Bring
- 5+ years of experience
- Bachelor’s degree preferred, Masters is a plus
- Technologies / Coding Languages: RDBMS: Oracle, Teradata, Snowflake, SQL server, etc. Scripting/Query Languages: (Required Advance) - Python, SQL, SAS
- Data platforms: Microsoft SQL Server, Snowflake, Oracle
- Reporting - Power BI (Preferred)
- Strong technical knowledge and/or skills for area of expertise AND/OR management knowledge of Data Analytics reporting and management
- General understanding of the requirements of the entire function
- Strong background building and maintaining data infrastructure
- Strong platform & tool skills
- Complex Problem-solving skills.