Company: Aaratech Inc.Employment Type: Full-Time, W2 (deployed to client projects)Experience: 2–4 yearsCompensation: $70,000 – $80,000 per yearWork Mode: On-Site / HybridWork AuthorizationAt this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.Why This Role?Pharma analytics sits at the intersection of science and commercial strategy — and it pays for precision. Master syndicated data, real-world evidence, and market-access analytics in one of the few niches where domain knowledge alone can double your market value.Job SummaryAaratech Inc. is seeking a Data Analyst – Pharma & Life Sciences to turn commercial, clinical, and real-world data into insight. You will build brand and field-force reporting, work with industry-standard syndicated datasets, and deliver analysis that supports launch performance, market access, and compliant decision-making.Key ResponsibilitiesGather, clean, and analyze pharma commercial datasets — prescription (Rx), medical/pharmacy claims, and sales data — using SQL and Python.Design and maintain dashboards in Power BI or Tableau for brand performance, market share, and field-force effectiveness.Work with syndicated data sources such as IQVIA, Symphony Health, and Komodo Health.Support real-world evidence (RWE), patient-journey, and payer/market-access analytics.Handle clinical or regulated data with GxP and 21 CFR Part 11 awareness, maintaining data integrity and traceability.Ensure data quality and compliance across reporting platforms.Present analytical findings and recommendations to commercial and medical-affairs stakeholders.QualificationsBachelor's degree in Data Science, Computer Science, Information Technology, Business Analytics, or a related field.2–4 years of experience as a Data Analyst, preferably in pharma, biotech, or life sciences.Strong, hands-on SQL skills — complex joins, window functions, CTEs, and query optimization.Proficiency with Power BI or Tableau, plus advanced Microsoft Excel (Power Query, pivot tables, advanced formulas).Hands-on experience with pharmaceutical, clinical, or healthcare claims data.Strong analytical, data-storytelling, and stakeholder-communication skills.Tools & Technologies You Will UseAnalytics & querying: SQL (Oracle, SQL Server, Snowflake), Python (pandas, NumPy), SAS.BI & visualization: Power BI (DAX, Power Query), Tableau, Excel.Syndicated & domain data: IQVIA (Xponent, DDD, LAAD), Symphony Health, Komodo Health, specialty pharmacy data.Domain systems: Veeva CRM, Salesforce; cloud platforms such as Snowflake, Databricks, or AWS/Azure data services.Preferred SkillsKnowledge of HIPAA, GxP, and 21 CFR Part 11 data-compliance concepts.Familiarity with patient-level data (PLD), longitudinal claims, or HCP/HCO master data (MDM).Exposure to launch analytics, forecasting, or incentive-compensation reporting.Certifications such as Microsoft PL-300, Tableau Desktop Specialist, or Google Data Analytics Professional Certificate are a plus.About Aaratech Inc.Aaratech Inc. is a technology-driven organization delivering innovative solutions across cybersecurity, data & analytics, healthcare, and enterprise domains. We are committed to helping organizations transform data into actionable insights through advanced analytics, modern technologies, and data-driven innovation.
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Company: Aaratech Inc.Employment Type: Full-Time, W2 (deployed to client projects)Experience: 2–4 yearsCompensation: $70,000 – $80,000 per yearWork Mode: On-Site / HybridWork AuthorizationAt this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.Why This Role?Pharma analytics sits at the intersection of science and commercial strategy — and it pays for precision. Master syndicated data, real-world evidence, and market-access analytics in one of the few niches where domain knowledge alone can double your market value.Job SummaryAaratech Inc. is seeking a Data Analyst – Pharma & Life Sciences to turn commercial, clinical, and real-world data into insight. You will build brand and field-force reporting, work with industry-standard syndicated datasets, and deliver analysis that supports launch performance, market access, and compliant decision-making.Key ResponsibilitiesGather, clean, and analyze pharma commercial datasets — prescription (Rx), medical/pharmacy claims, and sales data — using SQL and Python.Design and maintain dashboards in Power BI or Tableau for brand performance, market share, and field-force effectiveness.Work with syndicated data sources such as IQVIA, Symphony Health, and Komodo Health.Support real-world evidence (RWE), patient-journey, and payer/market-access analytics.Handle clinical or regulated data with GxP and 21 CFR Part 11 awareness, maintaining data integrity and traceability.Ensure data quality and compliance across reporting platforms.Present analytical findings and recommendations to commercial and medical-affairs stakeholders.QualificationsBachelor's degree in Data Science, Computer Science, Information Technology, Business Analytics, or a related field.2–4 years of experience as a Data Analyst, preferably in pharma, biotech, or life sciences.Strong, hands-on SQL skills — complex joins, window functions, CTEs, and query optimization.Proficiency with Power BI or Tableau, plus advanced Microsoft Excel (Power Query, pivot tables, advanced formulas).Hands-on experience with pharmaceutical, clinical, or healthcare claims data.Strong analytical, data-storytelling, and stakeholder-communication skills.Tools & Technologies You Will UseAnalytics & querying: SQL (Oracle, SQL Server, Snowflake), Python (pandas, NumPy), SAS.BI & visualization: Power BI (DAX, Power Query), Tableau, Excel.Syndicated & domain data: IQVIA (Xponent, DDD, LAAD), Symphony Health, Komodo Health, specialty pharmacy data.Domain systems: Veeva CRM, Salesforce; cloud platforms such as Snowflake, Databricks, or AWS/Azure data services.Preferred SkillsKnowledge of HIPAA, GxP, and 21 CFR Part 11 data-compliance concepts.Familiarity with patient-level data (PLD), longitudinal claims, or HCP/HCO master data (MDM).Exposure to launch analytics, forecasting, or incentive-compensation reporting.Certifications such as Microsoft PL-300, Tableau Desktop Specialist, or Google Data Analytics Professional Certificate are a plus.About Aaratech Inc.Aaratech Inc. is a technology-driven organization delivering innovative solutions across cybersecurity, data & analytics, healthcare, and enterprise domains. We are committed to helping organizations transform data into actionable insights through advanced analytics, modern technologies, and data-driven innovation.
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