Lead Data Analyst

Alois LLC

Gloucester City, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Gloucester City, United States of America

Airflow

Amazon Web Services (AWS)

Azure

Cloud Computing

Data Validation

Information Engineering

Data Integration

Data Integrity

ETL

Tableau

Strategies of Testing

Data Processing

Google Cloud Platform

Sql Optimization

Data Analytics

Data Management

Tools for Reporting

Looker Analytics

Data Validation & Migration Oversight: Lead and manage the validation activities for data assets being migrated, ensuring accuracy, completeness, consistency, and compliance with defined business and technical requirements.
Translate & Execute Client Requirements: Understand client business and data requirements and convert them into clear, actionable, and executable validation plans for the offshore team.
Lead & Mentor Offshore Team: Oversee and coordinate an offshore team of 3-6 team members, providing guidance, prioritization, and support to ensure successful delivery of validation activities and project milestones.
Client Coordination & Status Reporting: Act as a key point of contact for clients by sharing regular updates on validation progress, issues, risks, and resolution plans.
Quality Assurance & Data Integrity: Implement validation checks, review processes, and testing strategies to ensure high-quality and reliable migrated data assets.
Drive Innovative Validation Strategies: Ideate and implement new data validation approaches, automation opportunities, and process improvements that enhance efficiency, scalability, and accuracy across migration initiatives.

Experience: 4+ years in data management, data analytics, or data engineering field-with a proven track record in team leadership (managing teams of 3+ members).
Technical Skills:
Required: Proficiency in Advanced SQL for data processing and analysis
Desirable: Experience with data integration, ETL processes, and analytics tools (Airflow, dbt)
Desirable: Familiarity with data visualization platforms (e.g., Tableau, Looker)
Desirable: Familiarity with Cloud technologies (AWS, Azure, GCP)
Analytical Abilities: Strong analytical and problem-solving skills to troubleshoot complex data issues and ensure high data quality and compliance.
Communication: Excellent verbal and written skills for clearly summarizing technical insights and actionable recommendations to both technical and non-technical stakeholders.