Data Analyst

Data Analyst

Location: Texas, United State

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.

Skills

• 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