QGenda is looking to solve the problem of enabling their customers to maximize the value of their software platform by hiring a Data Analyst to parse various formats of customer data and convert it to QGenda accepted formats for import into the QGenda solution.
Requirements
- Advanced proficiency in Python for data processing, automation, and analytics, including experience with libraries such as Pandas, NumPy, and SQLAlchemy
- Expert-level SQL skills for querying, transforming, and optimizing large and complex datasets across relational databases
- Strong working knowledge of JavaScript for data visualization, automation, and integration with web-based analytics tools
- Experience with version control systems such as GitHub or Bitbucket and familiarity with collaborative development workflows
- Deep understanding of data modeling, ETL processes, and data governance best practices
- Proven ability to design and implement scalable data pipelines and transformation logic to support analytics and reporting
- Experience working with cloud-based data environments (AWS, Azure, or GCP) and APIs for data ingestion and integration
Responsibilities
- 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 to be consumed for the QGenda application
- 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
Other
- 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
- Excellent communication skills, including the ability to present technical information to non-technical audiences
- Leadership in identifying process improvements and mentoring junior analysts on technical and analytical best practices
- Applicants for this position must be authorized to work for any employer in the United States(U.S.), including being located in the US.
