itD is seeking a Data Analyst III to build and scale data infrastructure that enables data-driven decision-making across marketing and analytics teams. This role will play a critical part in designing robust data pipelines, automating reporting, and ensuring data accuracy to support large-scale marketing initiatives.
The ideal candidate will bring deep experience in SQL, ETL development, and data pipeline architecture, along with a proven track record of delivering scalable data infrastructure, automated reporting systems, and actionable insights from large datasets.
Location: Remote (aligned to PST/EST time zones)
Duration: 12 Months
We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.
Responsibilities
- Design, build, and maintain scalable data pipelines to support large-scale marketing and analytics initiatives
- Develop and optimize ETL processes to ingest, transform, and process high-volume datasets from multiple sources
- Write complex, high-performance SQL queries to extract, analyze, and validate data
- Build and maintain automated dashboards and reporting solutions to support business decision-making
- Partner with cross-functional teams including marketing, program management, and analytics to define data requirements
- Identify and resolve data quality, integrity, and consistency issues across systems and reporting layers
- Collaborate with stakeholders to translate business needs into technical data solutions and actionable insights
Internal Responsibilities
- Attend regular internal practice community meetings
- Collaborate with your itD practice team on industry thought leadership
- Complete client case studies and learning material (blogs, media material)
- Build out material to contribute to the Digital Transformation practice
- Attend internal itD networking events (in person and virtual)
- Work with leadership on career fast-track opportunities
Required Qualifications and Skills
- 5+ years of experience working with SQL across large-scale databases (e.g., Oracle, MySQL, Hive, or similar)
- Strong experience designing and building ETL pipelines and data processing workflows
- Experience working with large datasets (millions of rows) in distributed data environments
- Experience with business intelligence and dashboarding tools
- Proficiency in Python or R for data analysis and processing
- Experience collaborating with cross-functional teams in a data-driven environment
- Proven ability to independently manage workstreams and deliver end-to-end data solutions
Preferred Qualifications and Skills
- Experience in large-scale or big tech environments
- Background combining data engineering and data analysis responsibilities
- Experience supporting marketing analytics or growth teams
- Ability to manage ambiguity and self-direct projects with minimal oversight
Education
Bachelor's degree in a STEM field required.