Lead Data Analyst (Data & Analytics)
Posted Updated 3
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Description
Data and Analytics at COMPLY
COMPLY is the world’s leading aggregator of financial and regulatory data to support compliance. Our mission is to help financial institutions meet their regulatory obligations with confidence, clarity, and speed. We ingest, process, and enrich vast volumes of complex, high-variance data from hundreds of brokers, data providers and other sources of information across the US and beyond. The scale, diversity, and importance of this data creates unique technical challenges and opportunities.
The COMPLY Data Platform is a strategic initiative at the heart of this mission. It underpins everything from our broker feed ingestion and security master to advanced analytics, AI-driven insights, and future regulatory technologies. We’re building something foundational, and we’re doing it with a modern, cloud-native architecture that’s designed to scale.
We're looking for a Senior Data Analyst to join our team to help ensure the reliability, accuracy, and timeliness of this critical data.
The Role
As the Lead Data Analyst, you will be responsible for coordinating and leading COMPLY’s data support and data project function. You will ensure that data issues are triaged effectively, work is prioritised correctly, and analysts are set up to deliver timely, high-quality outcomes for internal teams and external partners.
This role combines operational leadership, stakeholder management, and hands-on data expertise. You will remain close to the data and tooling, providing guidance, removing blockers, and stepping in on complex or high-impact issues when required.
You will act as the connective tissue between DataOps, Data Engineering, Partnerships, Product, and Customer-facing teams, ensuring clarity of ownership, smooth workflows, and continuous improvement of the data support service.
Key Responsibilities
- Team Leadership & Coordination
- Lead and coordinate the activities of the DataOps analyst team, ensuring clear ownership, accountability, and coverage.
- Establish and run effective triage processes for incoming data issues, incidents, and requests.
- Ensure analysts are working on the right problems at the right time, balancing urgent support needs with longer-term data projects.
- Provide coaching, feedback, and mentorship to analysts, supporting both technical growth and operational judgement.
- Become a recognized SME for Comply’s core data flows Triage, Workflow & Prioritisation
- Define, implement, and continuously refine workflows for: issue intake and triage, Investigation and resolution , Escalation to Data Engineering or other teams , Communication and closure
- Act as the primary point of coordination for high-severity or cross-team data issues.
- Ensure priorities are clearly understood and agreed with stakeholders, and that trade-offs are made explicitly.
- Operational Effectiveness & Service Quality
- Monitor team effectiveness using qualitative and quantitative signals (e.g. response times, backlog health, recurring issues).
- Identify bottlenecks, failure modes, and areas of operational risk within the data support process.
- Drive initiatives to improve reliability, transparency, and predictability of DataOps outcomes.
- Ensure documentation, runbooks, and knowledge sharing are maintained and actively used.
Stakeholder & Partner Management
- Partner closely with Customer Experience, Customer Support, Product, Partnerships, and Data Engineering to align expectations and delivery.
- Provide clear, timely communication to stakeholders on issue status, risks, and timelines.
- Represent DataOps in cross-functional discussions about data quality, supportability, and operational readiness.
Tooling & Continuous Improvement
- Ensure the team effectively uses existing tooling, dashboards, and workflows to deliver data support.
- Identify gaps in tooling or process and drive the creation of new lightweight tools, metrics, or workflows where appropriate.
- Collaborate with Data Engineering on requirements for more robust or systemic solutions.
- Champion a culture of continuous improvement, learning, and operational excellence.
Essential Criteria
- Background in financial services or working with trading, securities, or regulatory data.
- Experience leading or coordinating a data operations, data support, or analytics team in an enterprise or SaaS environment.
- Strong understanding of data pipelines, ETL concepts, and analytical data platforms (without necessarily owning their implementation).
- Strong SQL skills and experience working with large or complex datasets, and experience in scripts in a common language such as Powershell or Python.
- Demonstrated experience establishing triage processes, workflows, or operational cadences.
- Strong stakeholder management skills, with the ability to balance competing priorities and communicate trade-offs clearly.
- Proven ability to improve team effectiveness through better processes, tooling, or prioritization.
- Comfortable operating in a fast-moving environment with ambiguous or incomplete information.
- Sound judgement around escalation, risk, and impact.
Desirable Criteria
- Prior experience managing analysts in a data support or data product environment.
- Exposure to data quality frameworks, operational metrics, or service management practices.
- Experience partnering closely with data engineering teams on systemic improvements.
- Familiarity with incident management or on-call support models for data platforms.
What We Offer
- A leadership role at the heart of COMPLY’s data reliability and customer trust.
- The opportunity to shape how data support and data projects operate at scale.
- Close collaboration with senior stakeholders across Engineering, Product, and Customer teams.
- A team-focused environment that values clarity, ownership, and continuous improvement.
- A rapidly growing platform with significant scope to expand and mature the DataOps function.