Data Analyst Assistant

Role overview

Pixel Systems is looking for a Data Analyst Assistant to support a project for a partner organization, a major German infrastructure group. The assignment centers on consolidating large volumes of operational and maintenance data that currently sit across multiple spreadsheets into a single, custom-built management platform.

This position is hands-on and detail-driven. You will collaborate closely with developers to ensure the incoming data is accurate, standardized, and ready to be loaded into the new system. The focus is on precision, structure, and reliability rather than advanced analytical theory.

About Pixel Systems

Pixel Systems is a compact software agency operating entirely remotely. The team focuses on practical business software rather than consumer-facing products or marketing-heavy work. Typical projects include admin dashboards, CRM integrations, and database migrations that help companies keep operations running smoothly.

The company works with fixed-price engagements and keeps solutions simple and maintainable. Progress is reviewed through weekly demos, and completed work is delivered with the full codebase, documentation, and video walkthroughs. The team uses dependable technologies such as Node, React, and Postgres, and values clear communication and working software over unnecessary meetings or abstract planning.

What the role involves

In this position, you will act as the link between raw client data and the systems being built by the development team. Because the project involves infrastructure data, the records are extensive and require careful handling. Much of your time will be spent checking entries, identifying duplicates, correcting formatting issues, and translating information from older spreadsheets into new PostgreSQL tables.

This is a fully remote role, so you will manage your own tasks while staying aligned with the team through daily check-ins. You will also help prepare simple reports and visual summaries to track the progress of the migration. Some basic SQL querying or use of internal verification tools may be part of the work. You will not be designing complex systems, but you will be responsible for the quality and integrity of the data entering them.

What you should bring

The ideal candidate is comfortable working extensively with spreadsheets, including advanced functions and sorting. Since the work involves repetitive checks, you should be able to stay focused and maintain a high level of accuracy. Strong communication is also important so you can clearly flag inconsistencies to the rest of the team.

A basic grasp of how databases are organized will be useful, along with strong personal organization for managing multiple files and dataset versions. The role also suits someone curious about how data supports operational decision-making and who can work independently in a remote setting. Careful review of your own work before marking tasks complete is expected.

Helpful background

Prior exposure to SQL, even at a beginner level, is beneficial, and a willingness to learn query writing is welcome. Familiarity with GitHub for basic file handling and version control is also helpful. Experience with PostgreSQL or another relational database system, whether in class or through a project, would be an advantage.

Any introductory coding experience, especially with Node or Python for small scripts, may be useful. An interest in infrastructure or logistics would fit the project context well. Experience creating simple documentation or user guides is also valuable.

Working style and employment details

This is a permanent, full-time paid position. Compensation is described as competitive for an entry-level role in the software and data space, though no exact salary figure is provided. The agency is fully remote, and the work style relies on written communication, clear task ownership, and a focus on getting the job done well.

There are no middle-management layers, and you will work directly with senior developers who can answer questions and support your growth in data management. The role offers flexibility in how you set up your workspace, along with the tools and support needed to perform effectively. The company values stability, consistency, plain communication, and software that solves real operational problems.

Additional context

The project supports a German infrastructure partner by helping build the data backbone for business operations. The work is intended for someone who enjoys organizing messy information, improving data quality, and contributing to practical tools that real teams rely on. Pixel Systems emphasizes honest communication, clear English, and dependable outcomes.