Mango Analytics

Mango Analytics helps enterprises unlock value from AI and data through pharma-focused consulting and analytics. It delivers AI consulting, data engineering, digital transformation, and IT services to architect and deploy scalable AI systems. Core technologies include AI, machine learning, data analytics, Gen AI, GIS, cybersecurity, software development, and QA automation. Their offerings span pharma clinical and commercial development, prescriber analytics, market research, and self-serve analytics platforms. They serve global enterprises across life sciences, healthcare, and other sectors seeking practical, scalable analytics and responsible AI.

AICareer ServicesData AnalyticsIT ConsultingMachine LearningPharmaceuticalQuality AssuranceSoftware Developmentmangoanalytics.ai

Mango Analytics

AICareer ServicesData AnalyticsIT ConsultingMachine LearningPharmaceuticalQuality AssuranceSoftware Developmentmangoanalytics.ai

HQBranford, US

Team Size22

Open Jobs37

Total Funding-

Latest FundraiseUnknown

Join the Team

Data Architect - Alpharetta GA - Full Time Employment

On-SiteGeorgia, US

On-Site • Georgia, US

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Technical Writer

InternshipAustin, US

Internship • Austin, US

Product Designer

InternshipHamburg, DE

Internship • Hamburg, DE

AI Researcher

ContractHaifa

Contract • Haifa

Product Designer

Part-timeNew York, US

Part-time • New York, US

Mobile Developer

InternshipBerlin, DE

Internship • Berlin, DE

Product Designer

ContractTel Aviv

Contract • Tel Aviv

Job Summary (List Format)

Design and implement scalable data architectures, data models, schema designs, and database optimizations.
Work with various database management systems (RDBMS, NoSQL) and data warehousing tools such as Databricks, Snowflake, and Redshift.
Utilize big data frameworks (e.g., Spark) and cloud platforms (e.g., Azure) for distributed computing and large-scale data processing.
Develop and maintain ETL processes using cloud-based data services and tools.
Implement and enforce data governance best practices, including data lineage, quality management, and compliance.
Ensure data security by applying encryption methods, security protocols, and adhering to regulatory compliance standards.
Collaborate with cross-functional teams to support business intelligence and analytics initiatives.
Bring 12+ years of experience in designing large-scale data systems, with proficiency in big data frameworks, cloud platforms, and ETL tools.
Exhibit strong knowledge of data governance, security protocols, and compliance requirements.