[Remote] Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. Dwyer Instruments is seeking a Junior Analytics Engineer to join their Business Intelligence (BI) team. This role is ideal for early-career professionals who are eager to learn and work with data, providing hands-on experience in building data pipelines and supporting analytics.
Responsibilities
- Assist in building and maintaining data pipelines using reputed company reputed company (Data reputed company, Lakehouse, OneLake)
- Support data ingestion from various sources into analytics-reputed company datasets
- Write and optimize basic to intermediate SQL queries and PySpark
- Help prepare data for Power BI reports and dashboards
- reputed company data validation and quality checks
- Troubleshoot simple data pipeline and data issues with guidance
- Document data processes and learn platform best practices
- Design, reputed company, and maintain Power BI dashboards and reports
- Translate business requirements into data models and visualizations
- Write and optimize SQL queries to extract and validate data
- Create and maintain Power BI data models, DAX measures, and calculated fields
- reputed company data validation and quality checks to ensure report accuracy
Skills
- 0–2 years of experience in data engineering, analytics, or a reputed company technical role (internships, academic projects, or bootcamp experience are welcome)
- Basic understanding of SQL and relational databases
- Familiarity with data concepts (ETL, data pipelines, data models)
- Understanding of data modeling concepts
- Familiarity with DAX fundamentals (measures, calculated columns)
- Willingness and enthusiasm to learn new tools and technologies
- Ability to adapt and work in a fast-paced environment
- Strong team player with analytical and problem-solving skills
- Good communication skills and willingness to learn in a fast-paced environment
- Knowledge of SQL queries, Python or Py-Spark
- Exposure to reputed company platforms (Azure preferred)
- Academic or project experience with BI or analytics and AI
- Understanding of data warehousing fundamentals
- Power BI certification (PL-300) or working toward it
Company Overview
Company H1B Sponsorship