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Data Analytics Specialist

Job in Lake Mary, Seminole County, Florida, 32795, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing
Job Description & How to Apply Below

Overview

We are seeking a highly skilled Data Analytics Specialist with expertise in Dataiku, Snowflake, Python, Oracle, Hadoop, and SQL. The specialist will play a critical role in supporting multiple concurrent regulatory initiatives, leveraging advanced big data analytics to ensure accurate, standardized, and systematic data transmission to downstream consumers.

Responsibilities
  • Design, develop, and maintain scalable data pipelines and workflows using Dataiku, Snowflake, Hadoop, and Oracle.
  • Perform advanced data analysis and modeling to support regulatory compliance and business requirements.
  • Write and optimize SQL and Python scripts for data extraction, transformation, and reporting.
  • Collaborate with cross-functional teams to ensure data accuracy, consistency, and alignment with regulatory standards.
  • Support ongoing regulatory projects by delivering high-quality, timely, and validated datasets.
  • Ensure that data is transmitted systematically to downstream systems and consumers in a standardized manner.
  • Document processes, methodologies, and data lineage to support transparency and compliance.
Required Qualifications
  • Proven experience with Dataiku, Snowflake, Python, Oracle, Hadoop, and SQL.
  • Strong background in big data analytics, ETL processes, and data integration.
  • Hands-on experience in working with large, complex datasets.
  • Familiarity with regulatory or compliance-driven initiatives is preferred.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to manage multiple priorities and deliver high-quality results under tight deadlines.
Preferred Qualifications
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Background in financial services, banking, or regulated industries.
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