Data Analyst
Quantenex
Texas, United StatesFresher13h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- Data analysisPower BITableauLookerData visualizationSQL
- Nice to have
- PythonPandasNumPyExcel
- Work
- On-site in Texas
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis90%Power BI65%Tableau53%Looker15%of 72 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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Location: Texas, United States
Employment Type: Full-Time, Permanent, Remote
Key Responsibilities
- Assist in collecting, cleaning, and organising structured datasets from multiple sources.
- Support the preparation of regular and ad-hoc reports to deliver business insights.
- Assist in building and maintaining dashboards using tools such as Power BI, Tableau, Qlik, or Looker.
- Write and maintain basic SQL queries for data extraction, validation, and reporting.
- Support senior analysts in maintaining analytical datasets and simple data models.
- Assist with ETL/ELT processes and routine data refresh activities.
- Perform data quality checks to ensure accuracy, consistency, and completeness of data.
- Conduct basic descriptive and trend analysis using Excel, Python (Pandas, NumPy), or R.
- Help document data definitions, metrics, report logic, and transformation rules.
- Collaborate with business users to understand reporting requirements and analytical needs.
- Support testing activities including report validation and user acceptance testing (UAT).
- Assist with data extraction from enterprise systems such as ERP, CRM, HR, or finance platforms.
- Participate in Agile ceremonies and team discussions.
- Present basic findings and insights to team members with guidance from senior analysts.
- Identify opportunities to improve reporting processes and automate recurring data tasks.
Requirements & Tech Stack
- Basic SQL skills (SELECT statements, joins, filters, aggregations)
- Familiarity with data analysis or BI tools (Power BI, Tableau, Qlik, or Looker)
- Understanding of core data concepts such as tables, relationships, and basic data modelling
- Basic knowledge of Excel and exposure to Python (Pandas, NumPy) or R is an advantage
- Awareness of data quality, validation, and accuracy principles
- Strong analytical thinking and problem-solving skills
- Good communication and documentation abilities
- Ability to work collaboratively in a team-oriented, Agile environment
- Willingness to learn and grow in data analytics, BI, and cloud technologies