Senior SQL Analyst — Remote, Data Quality & Azure Cloud

Creative Chaos; United States; Remote; USD 85,000 - 125,000; Full time

Benefits offered by this job

Paid Time Off

Work From Home

Health Insurance

OPD

Job summary

Creative Chaos is seeking a SQL Analyst to perform thorough EDA using SQL and standard tooling to understand data cardinalities, detect outliers, and identify data quality issues. You will collaborate with Data Engineers, BI Analysts, and Product Owners to ensure data is robust, complete, and well-documented.

The role involves cloud-focused data work, including Azure data migrations and governance, with a strong emphasis on data quality and clear communication of insights.

Qualifications

• 5+ years of experience as a SQL Analyst or in a similar analytical role.
• Strong SQL skills and experience with relational databases.
• Familiarity with Azure SQL, Data Lake, Synapse and data lakehouse concepts.
• Experience with data visualization tools (Tableau/Power BI) is a plus.

Responsibilities

• Perform extensive exploratory data analysis to understand raw data and inform decisions.
• Support migration of legacy CRM data into Azure with engineers to ensure quality and continuity.
• Collaborate with Data Engineers, BI Analysts, and Product Owners to answer data questions.
• Document data processes and ensure data are robust and complete.

Skills

SQL Proficiency

Data Analysis

Communication Skills

Education

Bachelor's degree in Data Analytics, Computer Science, Finance, or related field

Tools

Azure SQL

Azure Data Lake

Data Lakehouse

Synapse

Tableau

Power BI

Git

Job description

Creative Chaos is seeking a SQL Analyst to perform thorough EDA using SQL and standard tooling to understand data cardinalities, detect outliers, and identify data quality issues. You will collaborate with Data Engineers, BI Analysts, and Product Owners to ensure data is robust, complete, and well-documented.

The role involves cloud-focused data work, including Azure data migrations and governance, with a strong emphasis on data quality and clear communication of insights.