Onsite in Charlotte - Hybrid model - onsite 3 days a week.

Data Analyst: ** 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); **Excellent analytical skills; **PowerBI/Tableau visualization. **Must have excellent communication skills both verbal and written, individual performer, self-starter who will take initiative, able to work in a matrix environment across business lines. Provide location and interview availability** Video conference interview.

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.

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)

understand 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.

2+ years of experience

Bachelors degree preferred, Masters is a plus

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 and tool skills

Complex Problem-solving skills.