Data Analyst (Data Engineer)
Long-Term Contract
Atlanta, GA
Qualifications:
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 convert 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.
Will collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business teams.
Analyze, classify, migrate or redesign data jobs/reports into modern data tools, using Agile methodology, that empower users to make informed business decisions.
Document and validate progress against current report outputs.
"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran."
