Data Analytics Engineer

Job Description

Insight Global is looking for a Data Analytics Engineer within the Data Strategies and Engineering teams who will partner across Commercial, IT, Analytics, and MedTech stakeholders to advance commercial data capabilities. This role will lead strategic data initiatives across commercial applications, third-party integrations, market and competitive datasets, and customer engagement data. Responsibilities include defining business requirements, strengthening governance, identifying data gaps and risks, resolving issues, and delivering scalable data solutions that improve quality, usability, reporting, segmentation, and commercial decision-making. He/she will assist with UAT testing and validation activities, and will be hands on with SQL and Python.

This role has the potential to convert to a Full Time Employee and has growth opportunities to take on Lead responsibilities.

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 [email protected] 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

• Bachelor’s degree required; degree in a relevant field (Computer Science, Data and Analytics, IT, Statistics, etc) preferred.

• 5+ years of experience in data strategy, data engineering, analytics, commercial operations, data governance, business intelligence, data product management, or technology-enabled transformation

• Strong collaboration, communication, analytical, influencing, and stakeholder leadership skills

• Advanced Excel, PowerPoint, presentation, storytelling, and executive interpersonal skills

• Strong problem-solving, root-cause analysis, data-driven decision-making, and project management skills

• Ability to translate complex data concepts into clear business recommendations

• Strong experience with SQL and Python

• Ability to translate, integrate, and govern multiple data sources into useful datasets and models for commercial decision-making • Experience with master data management, data governance, stewardship, and data quality management

• PySpark, Alteryx, BI tools, or similar data access methods

• Experience with cloud or database environments such as Databricks, AWS Redshift, PostgreSQL, S3, Oracle, SQL Server, Azure, or similar platforms

• Experience as a data product owner, business lead, or SME for commercial data platforms, third-party integrations, or customer engagement data

• Experience in medical device, healthcare, commercial analytics, customer data, sales operations, or marketing technology