Associate Data Analyst

You are a problem solver who enjoys building things and wants direct involvement in AI, automation, and analytics for teams across Wize Solutions.

You like working with data and get satisfaction out of turning messy, scattered information into something clear and useful.

You have a strong technical foundation and are comfortable learning new tools, query languages, programming languages, and data platforms as needed.

You are comfortable finding solutions to technical and business challenges and can communicate your findings clearly and concisely, both in writing and verbally.

You are detail oriented and understand that small details can have significant impacts on data quality, reporting accuracy, security, and business decisions.

You are willing to ask questions early, seek feedback, and work collaboratively with the CTO and other Wize team members.

You are genuinely curious about AI. You already experiment with AI tools, coding assistants, or LLMs and have thoughtful opinions about where AI can and cannot add value.

You understand the importance of protecting confidential company information and using AI and technology responsibly.

What You’ll Own:

Research emerging AI tools, technologies, and analytical approaches and prototype them against real problems in Operations, Sales, and Leadership.

Connect and consolidate data from Acumatica and other business systems into reporting-ready datasets using SQL, APIs, scheduled extracts, and other data movement methods.

Build and maintain dashboards, recurring reports, and self-service views that give Operations, Sales, and Leadership visibility into project, schedule, material, and financial performance.

Document metric and data definitions so that reported numbers are consistent, repeatable, and reconcilable to the source system.

Investigate data quality issues—duplicates, gaps, mismatched identifiers, and manual workarounds—and recommend practical fixes.

Build and test AI-assisted tools and automations designed to eliminate repetitive manual reporting and data entry work.

Use OKRs and other measurable outcomes to evaluate whether the reporting and tools you build are creating business impacts.

Develop scripts, queries, and lightweight applications that improve internal processes and reduce reliance on manual spreadsheets and disconnected systems.

Work with LLM APIs and emerging technologies such as Model Context Protocol (MCP) to explore new ways of connecting AI to business processes and data.

Work directly with the CTO on special R&D projects, presenting findings and recommendations on what works, what doesn’t, and what Wize should consider adopting.

Help troubleshoot and test reports, datasets, and automations to confirm they are accurate, reliable, and working as intended.

Occasionally assist with basic technical support, including laptop setup, software configuration, and general end-user troubleshooting.

Create concise, practical documentation for the datasets, reports, and processes you build.

Propose new ideas for using data and technology to improve how Wize Solutions operates and take ownership of turning promising ideas into proof-of-concepts.

Experience You’ll Need:

Currently pursuing a degree in Data Analytics, Information Systems, Computer Science, Statistics, Business Analytics, Finance, or a related field, or equivalent demonstrated experience through personal projects, self-directed learning, previous internships, or other experience.

Working knowledge of SQL, or clearly demonstrated ability to learn it quickly.

Demonstrated ability to write and debug code or scripts in at least one language, such as Python, with the ability and willingness to learn additional languages and tools.

Strong spreadsheet skills, including formulas, pivot tables, and cleaning and structuring imperfect data.

Basic understanding of how business systems store data and how data moves between systems.

Experience with Git or another version control system, or a demonstrated willingness to learn.

Strong problem-solving and analytical skills with the ability to break complex problems into manageable steps.

Strong written and verbal communication skills, including the ability to explain what the data does and does not tell us.

Ability to work independently while knowing when to ask questions or seek guidance.