Remotehey

3017597

Summary:

We're looking for a meticulous and driven IT Data Analyst to join our central Enterprise Data organization. In this role, you'll be the crucial link between our technical data teams and our business stakeholders. You will ensure that the data flowing through our ecosystem is accurate, well-governed, and perfectly structured to power cutting-edge analytics, machine learning (ML), and AI initiatives. You will play a key part in transforming raw data into reliable, enterprise-wide assets.

Duties and Responsibilities:

• Requirements Gathering & Analysis: Collaborate with business analysts, data scientists, and ML engineers to understand their data needs. Translate complex business questions into detailed technical requirements for data sourcing, transformation, and modeling.
• Data Sourcing & Profiling: Investigate and document source systems. Perform in-depth data profiling to understand data structures, relationships, and quality issues. You'll be the expert who knows what the data really means.
• Data Quality & Governance: Implement and monitor data quality rules and metrics. Work with data stewards to resolve data anomalies and manage metadata, data lineage, and business glossaries within our data governance framework.
• Data Warehousing & SQL: Write SQL queries to explore and to validate data in our enterprise data warehouse. Assist data engineers in documenting and validating data objects to ensure they meet business needs.
• Project Collaboration: Serve as the primary data subject matter expert (SME) on cross-functional projects, ensuring data integrity and providing critical insights throughout the project lifecycle.
• Testing & Validation: Develop and execute detailed test plans to ensure data accuracy.
  
  

Qualifications & Skills:

Required:

• 3+ years of experience in a data analyst, business intelligence analyst, or similar role.
• Proficiency using SQL, data orchestration, and monitoring tools in addition to IT ticketing systems.
• Solid understanding of data warehousing concepts (e.g., dimensional modeling, star schemas) and ETL/ELT processes.
• Hands-on experience with at least one major data visualization tool (e.g., Power BI, Tableau, Looker, Excel).
• Demonstrated ability to translate business requirements into technical specifications.
• Exceptional analytical, problem-solving, and communication skills with an ability to speak to both technical and non-technical audiences.
• Bachelor’s degree in Business, Computer Science, Information Systems, or business-related experience.
  
  

Preferred:

• Experience with a cloud data platform like Snowflake, Google BigQuery, AWS Redshift, or Databricks.
• Working knowledge of SQL and programming languages for data analysis.
• Familiarity with data governance principles and tools (e.g., Collibra, Alation, Data Catalog).
• Exposure to the data requirements of machine learning and AI models.
• Experience working in an Agile/Scrum development environment.
  
  

ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at jobs.adt.com/diversity to learn more.