Senior Data & Analytics Manager - AI-Driven Insights

Qvest US; Los Angeles (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

401k matching

Flexible vacation

Job summary

Qvest US is seeking an experienced Data & Analytics Manager to oversee data projects, guiding strategy, data management, reporting and visualization for clients. You will lead hands-on development, mentor teams, and manage stakeholders to deliver high-quality solutions.

Bring 5+ years in project management and deep SQL AI/ML experience. Hybrid work is possible, with onsite client locations as required; join a global leader in tech consulting and data transformation.

Qualifications

• 5+ years in Project Management, Process, Implementation, System Integration with data teams.
• Experience with AI/ML/Applied AI initiatives and data tooling.
• Strong planning, budgeting, and resource allocation experience.
• 7+ years in consulting or data-focused roles with SQL expertise.
• Relational DB design and data warehouses experience.
• Self-service BI with Tableau, Power BI, Looker or similar.

Responsibilities

• Lead projects from setup through deployment, managing stakeholders.
• Hands-on coding in SQL and occasional Python; build data visuals.
• Create data models inSnowflake/Databricks and guide data architecture.
• Ensure client satisfaction with quality project execution.
• Develop and articulate solutions to business challenges clearly.

Skills

SQL

Python

Tableau

Power BI

Snowflake

Databricks

Data Modeling

Looker

BI Tools

Project Management

Agile

Education

Bachelor's degree

Tools

Snowflake

Databricks

Teradata

Redshift

BigQuery

MS SQL Server

Job description

Qvest US is seeking an experienced Data & Analytics Manager to oversee data projects, guiding strategy, data management, reporting and visualization for clients. You will lead hands-on development, mentor teams, and manage stakeholders to deliver high-quality solutions.

Bring 5+ years in project management and deep SQL AI/ML experience. Hybrid work is possible, with onsite client locations as required; join a global leader in tech consulting and data transformation.