Data and Process Analyst (Entry Level)

Overview

Entry-level analyst handling data collection, validation, and process improvement

Key Responsibilities

• data analysis
• data validation
• pipeline development
• dashboard creation
• data entry
• process automation

Tasks

-Perform descriptive and diagnostic analyses to identify trends and improvement opportunities. -Validate and audit datasets, ensuring data integrity through cross-referencing and verification. -Collaborate with database administrators and technical teams to build, maintain, and optimize data pipelines. -Document institutional knowledge and data logic to support knowledge transfer and operational continuity. -Assist in developing dashboards and reports using tools such as Excel, Power BI, or Tableau. -Occasional lifting of materials or equipment up to 25 pounds. -Work closely with team members to align data practices with organizational objectives and compliance standards. -Collect, organize, and enter structured and unstructured data into systems with a high degree of accuracy. -Support automation and standardization of data processes and workflows.

Requirements

• sql
• python
• power bi
• excel
• etl
• bachelor's

What You Bring

-Familiarity with SQL, Python, and data visualization tools such as Power BI, Tableau, or Spotfire. -Regular use of computers and standard office software. -Strong analytical and data validation skills. -Excellent communication, organization, and collaboration skills. -Frequent use of standard office equipment and computer systems. -Understanding of ETL (Extract, Transform, Load) concepts and relational databases. -Advanced proficiency in Microsoft Excel (pivot tables, lookups, VBA/macros). -Ability to work effectively across cross-functional teams. -Familiarity with database systems and data governance practices. -Ability to remain in a stationary position for extended periods while working on a computer. -Primarily office-based work environment with standard equipment and moderate noise levels. -Experience creating technical documentation or process guides. -Exposure to quality systems, operational analytics, or process improvement initiatives. -Bachelor’s degree in Business Administration, Data Analytics, or a related discipline.

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Benefits

-Collaborative team atmosphere that values the contributions of all employees. -Comprehensive and market-competitive benefits. -Merit-based financial rewards. -Flexibility and company-wide commitment to work/life balance. -Work Schedule: Standard business hours, Monday through Friday -Learning and development opportunities for ongoing professional growth.

About Tetra Tech

-Leveraging a signature science-driven approach, it tackles complex problems in water, environmental restoration and sustainable infrastructure. -It organizes itself into government and commercial/international groups, enabling tailored expertise across public and private sectors. -Its Digital Systems division develops advanced analytics and visualization tools (like FusionMap®), supporting clients in grid reliability and AI infrastructure. -Unusual among engineering firms, it bridges traditional civil projects with cutting-edge digital and AI-enabled infrastructure solutions.

Sector Specialisms