Job Description A client of Insight Global is seeking a highly skilled Senior Data Analyst to join their Enterprise Data Warehouse team to support a project that focuses on profiling legal contracts to extract, standardize, and validate key metadata and clauses for reporting, reconciliation, and compliance oversight. These contracts are currently processed manually or stored in semi-structured formats, making downstream analysis difficult. They are building an automated solution that ingests structured and semi-structured contract files from multiple business sources; parses and normalizes contractual fields such as contract dates, pricing structures, clause types, and customer identifiers; applies configurable logic to flag missing, invalid, or non-compliant data points; generates outputs that feed curated views and dashboards used by compliance, legal, and operational teams. The toolset includes a rules engine, metadata model, validation framework, and dashboards for contract health, exception reporting, and trend analysis. The ideal resource will have extensive data analysis, data normalization, data governance, data modeling, data manipulation, and visualization skills. It is essential that the candidate has great communication skills and the ability to meet with stakeholders to understand their requirements. The pay rate ranges based off years of experience between $55-70/hour. 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/. Skills and Requirements • Technical Skills: o Advanced proficiency in SQL for data analysis, querying, and manipulation. o Experience with Databricks for data engineering, analytics, and collaborative data workflows. o Proficiency in Python for data analysis and scripting. o Experience with data warehouse platforms (e.g., Snowflake, Redshift, BigQuery). o Familiarity with ETL processes and tools (e.g., Azure Data Factory, Talend, Apache Airflow). o Expertise in data visualization tools (e.g., Tableau, Power BI, Looker). o Knowledge of cloud platforms (e.g., AWS, Azure) is a plus. o Desirable but not required: Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and data science techniques for predictive analytics or advanced modeling. • Soft Skills: o Strong analytical and problem-solving skills with a keen attention to detail. o Excellent communication and collaboration skills to work with cross-functional teams. o Ability to translate complex data insights into actionable business recommendations. o Proactive and self-motivated with a focus on delivering measurable results.