Lumel Technologies, headquartered in Plano, TX, is the no. #1 Power BI AppSource Partner in both size (200+ Employees) and scale (3,000+ Customers). We build best-in-class connected data apps for Power BI that help enterprises retire manual Excel processes, migrate from platforms like Tableau, Qlik, Spotfire, Cognos, and SAP, and consolidate all analytics needs on the Microsoft platform.
Our industry-best no-code user experiences empower citizen developers with limited/no DAX expertise to support use cases such as the following:
- Visualizations & storytelling (Inforiver Analytics+)
https://inforiver.com/analytics-plus/
https://valq.com/
- Master data editor with write-back(Inforiver MDE),
https://inforiver.com/
- Project management (xViz Gantt)
https://xviz.com/visuals/gantt-chart/
- Process management (xViz Performance Flow)
https://xviz.com/visuals/performance-flow/
Overview:
We are looking for motivated and detail-oriented fresh graduates to join our Product Engineering team as ETL Data Analysts. This is an excellent opportunity for individuals who are eager to start their careers in data analysis and ETL processes.
Roles & Responsibilities:
- Work closely with senior analysts to learn and ensure all products meet ETL specifications and guidelines.
- Support the team in validating business rules, data transformations, and integration techniques for various data types.
- Assist in performing integrity checks on ETL/ELT processes, especially during data source updates.
- Help in manually validating data transformations by comparing source and destination tables under supervision.
- Participate in documenting sample datasets, validation scenarios, test cases, and results for certification.
- Provide support for product onboarding and troubleshooting as part of a team.
Expectations:
- SQL Basics: Familiarity with SQL will be an advantage ; eager to learn and apply SQL in real-world scenarios.
- Excel Skills: Basic understanding of Excel and pivot tables.
- Analytical Skills: Strong problem-solving mindset with a keen interest in data analysis.
- Learning Attitude: Willingness to learn new technologies and grow in the ETL/data analysis domain.
- Added Advantage: Any academic projects or internships in ETL, data analysis, or related fields.
Why Join Us?
- Comprehensive training and mentorship to build a strong foundation in ETL and data analysis.
- Hands-on experience with real-world data challenges and modern tools.
- A supportive and growth-oriented environment for fresh graduates.
Education:
- Bachelor's degree in Computer Science, Information Technology, or B com ACCA.