Analytics Engineer

AHU Technologies Inc

99d•$80 - $100•Remote

About The Position

We are seeking a Lead Analytics Engineer / Delivery Lead for a long-term remote position. The ideal candidate will have extensive experience in analytics or data engineering roles, with a strong record of leading the delivery of analytics and data pipeline initiatives. This role requires expertise in supporting Clinical Research teams, working with clinical electronic data capture (EDC) data, and related medical or pharmaceutical datasets. The position involves direct management of analytics engineers, ownership of project timelines, and hands-on experience with ETL/ELT processes and modern data platforms.

Requirements

At least 10+ years extensive experience in Analytics or Data engineering roles.
Strong record of leading delivery of analytics and data pipeline initiatives in a research or analytics-driven environment.
Expertise supporting Clinical Research teams and working with clinical electronic data capture (EDC) data and related medical or pharmaceutical datasets.
Demonstrated experience directly managing analytics engineers or developers.
Strong ownership of project timelines, milestones, and deliverables.
Deep hands-on experience designing, building, and maintaining ETL/ELT processes.
Strong technical expertise with SQL, Python, and modern data platforms.
Hands-on delivery experience in environments such as Microsoft Fabric (Notebooks, Data Pipelines, Lakehouse/Warehouse) or equivalent platforms.
Ability to quickly learn new data sources, clinical workflows, and platform capabilities.
Excellent communication and delivery leadership skills.
Strong experience with source control and collaborative development practices.
Clear accountability for code quality and technical review.

Nice To Haves

Ability to apply new data sources, clinical workflows, and platform capabilities effectively in a fast-paced, delivery-driven environment.
Demonstrated ability to translate business, research, or clinical priorities into executable delivery plans.
Demonstrated ability to communicate status, risks, and delivery impacts clearly to technical and non-technical stakeholders.
Demonstrated ability to coordinate work across engineers, analysts, and business partners to meet commitments.

Responsibilities

Lead the delivery of analytics and data pipeline initiatives.
Support Clinical Research teams and work with clinical EDC data and related medical or pharmaceutical datasets.
Directly manage analytics engineers or developers, including work planning, task assignment, prioritization, mentoring, and performance feedback.
Take ownership of project timelines, milestones, and deliverables, including effort estimation, dependency management, and accountability for on-time, high-quality delivery.
Design, build, and maintain ETL/ELT processes, including production support, monitoring, optimization, and issue resolution.
Quickly learn new data sources, clinical workflows, and platform capabilities and apply them effectively.
Translate business, research, or clinical priorities into executable delivery plans.
Communicate status, risks, and delivery impacts clearly to technical and non-technical stakeholders.
Coordinate work across engineers, analysts, and business partners to meet commitments.
Enforce branch strategies, pull request workflows, and release standards.
Ensure all analytics code, notebooks, and ETL/ELT logic are version-controlled.
Maintain change traceability across environments.
Conduct and enforce code reviews and technical design reviews.
Establish and uphold coding standards, testing expectations, and documentation requirements.
Provide constructive technical feedback and mentoring to engineers.
Work independently in a contractor role, balancing hands-on technical involvement with delivery leadership and accountability.