Jr. Data Analyst

Description

Data Analyst - Operations & Engineering Support (Entry Level)

Overview: This isn't a traditional "pull reports and make charts" analyst role.

As an entry level Data Analyst, you'll operate at the intersection of data engineering, technical support, and operations. You'll help troubleshoot data issues, support pipeline reliability, and fulfill ad-hoc data requests while gaining hands-on exposure to the full data ecosystem. This is a fast-paced, high-impact role where adaptability, curiosity, and problem-solving are key. You don't need to know everything on day one-we're looking for someone proactive, resourceful, and eager to learn. The ideal candidate takes initiative, explores problems independently, and uses available tools (including AI) to find solutions efficiently.

Key Responsibilities

Data Issue Triage: Investigate and resolve L2/L3 data-related issues by analyzing datasets, writing queries, and clearly documenting findings for internal teams.

Pipeline Monitoring & Support: Develop an understanding of data pipelines, identify potential points of failure, and proactively flag issues.

Data Quality & Validation: Perform quality checks on datasets (both spatial and tabular) to ensure accuracy before distribution.

Data Integration: Assist with onboarding new data sources into ETL processes, including setup, testing, and validation.

AI-Driven Problem Solving: Leverage AI tools to accelerate troubleshooting, learn new systems, and improve efficiency-while applying sound judgment.

Required Skills & Technologies

SQL: Comfortable writing queries using joins, filters, and aggregations to explore and analyze data.

Programming Exposure: Familiarity with Python, R, or similar scripting languages; not afraid to work with code.

Ticketing Systems: Experience with tools like Jira, Asana, or similar for managing and tracking work.

Version Control: Basic understanding of Git (commits, branches, pull requests). Experience & Mindset 0-2 years of experience in data analytics, technical support, or a related field. Naturally curious and resourceful; able to research, test, and problem-solve independently.

Strong attention to detail with a focus on data accuracy. Comfortable working in a dynamic environment with shifting priorities. Clear and concise communicator, especially in written formats (tickets, documentation, messaging tools).

Interested in growing toward a data engineering career path.

Requirements

Preferred Qualifications

Experience with spatial data (GeoJSON, Shapefiles) or GIS tools (QGIS, ArcGIS) Exposure to ETL processes, data warehousing, or pipeline tools (e.g., Airflow, dbt)

Familiarity with BI tools such as Tableau, Looker, or Power BI Background in SaaS, marketing analytics, tourism, or agency environments

Experience using AI tools in day-to-day workflows and the ability to articulate how they improve productivity

Technology Doesn't Change the World, People Do.

Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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