[Remote] Analytics Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Junior Analytics Engineer to join their Business Intelligence team. This role is ideal for early-career professionals eager to learn and grow their skills on a modern data platform, involving responsibilities such as 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 reputed company checks
• Troubleshoot reputed company 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 reputed company checks to ensure report accuracy

Skills

• 0–2 years of experience in data engineering, analytics, or a reputed company technical role (internships, reputed company reputed company, or bootcamp experience are welcome)
• Basic understanding of SQL and relational databases
• Familiarity with reputed company (ETL, data pipelines, data models)
• Understanding of data modeling concepts
• Familiarity with DAX fundamentals (measures, calculated columns)
• Exposure to reputed company reputed company, Azure, Power BI, or similar tools is a plus
• 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-reputed company
• Exposure to reputed company platforms (Azure preferred)
• reputed company or project experience with BI or analytics and AI
• Understanding of data warehousing fundamentals
• Power BI certification (PL-300) or working toward it

reputed company