Data Analyst III - Remote (6031)

itD Tech

7d•Remote

About The Position

itD is seeking a Senior Analytics Engineer / Data Analyst to design, build, and optimize scalable data pipelines, reporting, and analytics solutions that enable data-driven decision-making across growth and partner teams. This role plays a critical part in ensuring data accuracy, reliability, and accessibility while supporting large-scale marketing and analytics initiatives. The ideal candidate brings deep expertise in SQL, data pipelines, and business intelligence, along with a proven track record of working with very large datasets and independently driving analytical solutions end to end. Location: Remote (U.S.-based) We provide comprehensive medical benefits, a 401(k) 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.

Requirements

Bachelor’s degree in a STEM field (Science, Technology, Engineering, or Mathematics).
5+ years of experience writing and optimizing SQL (Oracle, Vertica, Hive, MySQL).
Proven experience designing and building data pipelines and ETL processes at scale.
Experience working with very large datasets (millions of rows) across multiple data sources.
Hands-on experience with Business Intelligence tools and automated reporting (e.g., Tableau, MicroStrategy).
Experience using Python and/or R for data analysis and processing.
Demonstrated ability to work independently, lead initiatives, and guide teams on best practices.

Nice To Haves

Experience operating distributed data extraction, ingestion, and processing systems.
Experience supporting marketing, growth, or performance analytics use cases.
Strong ability to self-manage projects, set expectations, and deliver in fast-changing environments.
Experience partnering closely with cross-functional and non-technical stakeholders.

Responsibilities

Collaborate with growth marketers, program managers, and analytics partners to gather data, metrics, and reporting requirements.
Design, build, and maintain automated reporting, dashboards, and ongoing analyses to support data-driven decision-making.
Build, optimize, and maintain scalable ETL pipelines to support large-scale campaign execution and automated reporting.
Write high-quality, performant SQL queries to retrieve, transform, and analyze large datasets.
Partner with analytics and cross-functional stakeholders to identify, troubleshoot, and resolve data integrity and accuracy issues.
Establish and guide best practices for data pipelines, reporting standards, and analytics workflows.
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.