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Data Analyst
- Insight Global (Durham, NC)
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Job Description
• Data Ingestion & Integration
o Design and implement processes for ingesting market and marketing data from multiple sources.
o Define and document data requirements for ingestion and transformation.
• Data Quality & Validation
o Perform rigorous data quality control, validation, and testing across all pipelines.
o Develop SOPs and maintain comprehensive documentation for data workflows.
• Data Standardization & Centralization
o Streamline multiple data streams into a centralized, standardized system.
o Collaborate with cross-functional teams to ensure consistent data implementation.
• Automation & Scripting
o Use Python to automate pipelines and create scripts for data processing.
o Leverage SQL and Azure Databricks for data manipulation and analytics.
• Marketing Data Analysis
o Work closely with digital marketing teams to interpret and utilize marketing data.
o Handle ad-hoc marketing data requests and provide actionable insights
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
• Top 3 Hard Requirements:
1. Data Quality Control & Validation
2. Data Ingestion
3. Data Marketing
• Technical Skills:
o SQL
o Python (automation and scripting)
o Azure Databricks
o Data pipeline design and orchestration
• Soft Skills:
o Strong coordination and collaboration abilities
o Excellent documentation and communication skills
________________________________________ Pharma Experience
Healthcare Experience
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