Data Analyst

Advanced proficiency in Python for data processing, automation, and analytics (Pandas, NumPy, SQLAlchemy) Expert-level SQL skills for querying, transforming, and optimizing large datasets Strong working knowledge of JavaScript for data visualization, automation, and integration Experience with version control systems such as GitHub or Bitbucket Proficiency in data visualization tools such as Tableau, Power BI, or equivalent Deep understanding of data modeling, ETL processes, and data governance best practices Proven ability to design and implement scalable data pipelines and transformation logic Experience working with cloud-based data environments (AWS, Azure, or GCP) and APIs Strong analytical and critical-thinking skills Excellent communication skills Leadership in identifying process improvements and mentoring junior analysts Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, Data Science, or a related field 5+ years of progressive experience in data analytics, business intelligence, or data engineering roles 3+ years of hands-on Python development experience Advanced proficiency in SQL, including stored procedures, performance tuning, and data warehouse design 2+ years of professional JavaScript experience Experience with data visualization platforms such as Tableau, Power BI, or Looker Strong understanding of data architecture, ETL processes, and database management systems Experience integrating multiple data sources and ensuring data integrity, accuracy, and consistency Familiarity with modern development practices (CI/CD, version control, code review) and agile methodologies

Work with customers to receive data from their legacy systems and map that data to QGenda Using programming languages such as SQL, Python, and Javascript to analyze, prepare, and process data sets Build processes supporting data transformation, data structures, metadata, dependency and workload management Maintain data tools using Python, and SQL or other programming languages Update data tools to tackle data formats that are not yet handled by the tool Document customer criteria & data model mappings Consult customers on best practices related to the migration of their data