Data Analyst

Insight Global is looking for a Data Analyst for one of our large industrial machinery clients. We are seeking a Data Analyst to support enterprise analytics by improving data quality, managing complex datasets, and building strong data foundations. This role is hands-on and technical, focused on data validation, normalization, documentation, and advanced analysis. You will work closely with IT and a growing AI team to ensure data is reliable, well-documented, and ready for analytics, automation, and AI use cases. The successful candidate will be responsible for the following:

- Analyze large, complex datasets (millions of rows) from structured and unstructured sources across data lakes and Microsoft Fabric environments.
- Write efficient SQL and Python code to extract, transform, validate, and clean data.
- Identify data quality issues, anomalies, and inconsistencies; implement sustainable solutions and automated data checks.
- Normalize and structure data to enable advanced analytics, trend analysis, and pattern discovery.
- Translate technical and business requirements into clear analytical outputs and documentation.
- Create and maintain strong data documentation, including data definitions, structures, lineage, and data glossaries.
- Collaborate closely with IT, Analytics, and a small AI team to support data pipelines, analytics initiatives, and automation opportunities.
- Contribute to data governance practices, including metadata management, observability, and quality frameworks.
- Communicate findings and data concepts clearly to both technical and non-technical stakeholders.

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

- 2–4+ years of experience in Data Analysis, Business Intelligence, Data Engineering, or a related field.
- Strong proficiency in SQL and Python.
- Proven ability to analyze large-scale datasets (millions of rows) and work across multiple data sources.
- Experience with data validation, data quality cleanup, and analytical problem-solving.
- Hands-on experience extracting structured and instructed data from different tools, including Microsoft Fabric, Snowflake, Excel, data lakes, or similar platforms.
- Strong analytical thinking with the ability to independently investigate issues and identify root causes.
- Experience working in fast-paced, evolving environments and managing multiple priorities.
- Excellent communication and collaboration skills.

- Experience with data governance tools (e.g., Microsoft Purview) and metadata management.
- Familiarity with AI and automation concepts, with the ability to identify opportunities where AI can improve analytics or efficiency.
- Bilingual in French and English.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.