Data Management Analyst

Job Overview
We are seeking a dynamic and detail-oriented Data Management Analyst to join our innovative data team. In this role, you will be at the forefront of managing, analyzing, and optimizing complex data systems to support strategic decision-making and operational excellence. Your expertise will drive the development of robust data architectures, facilitate seamless data integration, and ensure high-quality data governance across the organization. If you thrive in a fast-paced environment, possess strong analytical skills, and are passionate about transforming data into actionable insights, this opportunity is perfect for you!

Responsibilities

• Design, develop, and maintain scalable data models and database architectures to support business needs.
• Lead data collection efforts by implementing effective ETL (Extract, Transform, Load) processes using tools like Talend, Informatica, or custom Python scripts.
• Manage and optimize large datasets within data warehouses and big data environments, ensuring efficient storage and retrieval.
• Collaborate with cross-functional teams to define project requirements, develop project plans, and execute tasks using Agile methodologies.
• Utilize SQL and Python to perform complex data analysis, generate reports, and create visualizations with Tableau for stakeholders.
• Implement linked data strategies to enhance data interoperability across platforms and improve data quality standards.
• Oversee database design activities in Oracle or similar systems while ensuring compliance with best practices in data management and security.
• Provide leadership in project management initiatives related to data infrastructure upgrades or new system implementations.

Qualifications

• Proven experience working with SQL databases such as Oracle or similar relational database systems.
• Strong proficiency in ETL tools like Talend or Informatica, complemented by Python scripting skills for automation and analysis tasks.
• Hands-on experience with Tableau for creating compelling dashboards and visual analytics solutions.
• Knowledge of big data technologies such as Hadoop or Spark is highly desirable.
• Familiarity with project management frameworks like Agile to coordinate multiple initiatives efficiently.
• Solid understanding of data warehouse concepts, database design principles, and data collection methodologies.
• Excellent analysis skills with the ability to interpret complex datasets and communicate insights clearly.

Job Types: Full-time, Part-time

Pay: $61,095.20 - $73,577.01 per year

Expected hours: 40.0 per week

Benefits:

• Flexible schedule
• Health insurance
• Paid parental leave
• Paid time off

Work Location: In person

Salary : $61,095 - $73,577