[Data Analyst (Data Engineer) [Atlanta, GA [Hybrid Schedule

[Qualifications: ]{emoji="" segoe="" ui=""}]{emoji="" segoe="" ui=""}]{emoji="" segoe="" ui=""}]{emoji="" segoe="" ui=""}

• Bachelor of Science degree in Computer Science or equivalent.
• At least 5+ years of post-degree professional experience.
• Required experience in SQL and other querying languages to into modern data tools or jobs.
• Strongly preferred experience in data analysis to create, publish, and/or manage reports and data visualizations in Tableau, PowerBI, AWS Quicksight, or AWS DataZone (i.e., our target solutions).
• Highly desirable experience implementing performance tuning in Tableau dashboards.
• Highly desirable experience working with TOAD data tool.
• Demonstrated experience building and preparing data for analytics.
• Proficiency in working with database technologies and data development such as Python, PLSQL, etc.
• Experience working with queries/applications, including performance tuning, utilizing indexes, and materialized views to improve query performance.
• Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.)
• Strong understanding of performing test cases for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment.
• Familiar with best practices for data ingestion and data design.
• Self-motivated, work independently, and have direct experience with data tools, data analysis, data engineering, data consulting, etc.
• Possess a deep understanding of the full life data lifecycle and the role that high-quality data plays across applications, business analytics, and reporting.
• Solid critical thinking skills, the ability to resolve technical problems, and a talent for transforming data to create solutions that add value to business requirements.
• Demonstrated ability to take ownership of assigned technical projects in a fast-paced environment.
• Solid written and speaking communication skills as we work in a collaborative cross-functional environment and interact with many business divisions.
• Demonstrate curiosity and proficient interpersonal soft skills.
• Ideal candidates have more than just knowledge or skill set, as they also have a can do mindset to find solutions and learn what is needed.

**[Responsibilities:

[The Data Analyst will be a key part of the Enterprise Data Services team, which is responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. Specifically, this role will support a multi-year project to migrate legacy data jobs and reports owned by business areas across the company to cloud-based technology solutions and modern data tools. ]{emoji="" segoe="" ui=""}]{emoji="" segoe="" ui=""}**