Data Analyst
Netrolynx AI
United StatesFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- Stakeholder managementETLSQLTroubleshootingPower BIData visualization
- Work
- Remote
- Pay
- Not stated by the employer.
- Skill demand
- SQL64%Stakeholder management43%ETL14%Troubleshooting7%of 58 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
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About the Role
This role is responsible for collecting, managing, validating, and analyzing data from multiple sources to support decision science, reporting, and data services. You will collaborate with business users and technical teams to strengthen data quality, reporting, and governance.
Key Responsibilities
- Collect and convert raw data into accurate, consistent, and usable information for decision science and reporting.
- Define and document data requirements with business and financial stakeholders, including data definitions, analytics use cases, and governance needs.
- Identify, investigate, and resolve data quality, integrity, and performance issues.
- Develop recommendations for automated data pipelines, ETLs, and ELTs, and perform related technical tasks when engineering support is unavailable.
- Complete core SQL Server database administration activities, including account administration, system health and performance monitoring, troubleshooting, and real-time issue resolution.
- Support the development and maintenance of Power BI reports, dashboards, and visualizations.
- Provide second-level employee support for decision science services.
- Work with application and technical teams to help ensure services meet data architecture requirements.
- Coordinate simultaneous project activities, apply innovative problem-solving approaches, and research tools and industry trends to recommend improvements.
Requirements & Tech Stack
- Demonstrated programming or scripting experience using SQL or Python.
- Experience engineering within a data warehouse or using dimensional data modeling.
- Understanding of cloud-based tools and data platforms.
- Relevant tools include Power BI, Data Factory, Databricks, Snowflake, Excel, and database management technologies.
- Understanding of the software development lifecycle.
- Ability to work with large datasets from diverse sources.
- Strong analytical, communication, troubleshooting, and problem-solving skills.
Qualifications
- A bachelor’s degree in Computer Science, Data Analytics, Information Technology, or a closely related field.
- At least six months of experience in an IT position working on a corporate IT team. Qualifying experience may be gained through any work or educational program.
Benefits
- Flexibility to work from home up to two days per week.
- Salary: $81,885.00