Lead Data Analyst

Accountabilities

• Engage directly with clients and Customer Success Managers to understand business objectives, reporting requirements, and technical challenges, translating them into clear specifications and actionable implementation plans.

• Lead and coordinate a team of junior data analysts, providing technical guidance, supporting problem-solving, and ensuring the timely delivery of high-quality solutions.

• Serve as the primary bridge between customers, Customer Success, Product Engineering, and Design teams to facilitate communication, align expectations, and drive successful project execution.

• Design, develop, and maintain custom reports, dashboards, widgets, data models, and platform-based solutions that address customer reporting and data analysis needs.

• Write, analyze, debug, and optimize complex SQL queries against relational data models to deliver accurate reporting and efficient data processing.

• Leverage Python and Apache Spark, where appropriate, to support data transformation, advanced reporting requirements, and specialized technical solutions.

• Configure platform features, workflows, integrations, and reporting components according to business requirements and technical specifications.

• Analyze source data, data structures, existing configurations, and system dependencies to identify effective, scalable implementation approaches.

• Assess technical feasibility, clarify requirements, identify potential risks, and collaborate with stakeholders to define suitable solution architectures and delivery plans.

• Partner with Product Engineering and Design teams to investigate platform limitations, troubleshoot technical issues, document findings, and validate fixes or workarounds.

• Perform testing and quality assurance on reports, dashboards, widgets, data models, and configurations before delivery to ensure accuracy, consistency, and alignment with customer expectations.

• Prepare and maintain technical documentation, solution notes, data-lineage records, and reusable implementation patterns to support knowledge sharing and operational efficiency.

• Manage multiple customer requests simultaneously, prioritize competing tasks, track progress, communicate risks, and take ownership of issues through resolution.

• Ensure all technical deliverables meet business objectives, customer requirements, and established quality standards while contributing to continuous improvement across the technical delivery process.

• A minimum of 6 years of relevant professional experience in data analytics, data engineering, technical delivery, business intelligence, or a related technical field.

• An engineering degree is mandatory for this position.

• Strong SQL expertise is essential, including the ability to write, analyze, debug, and optimize complex queries across relational databases and sophisticated data models.

• Good working knowledge of Python and Apache Spark, with the ability to apply them to data transformation, reporting, and specialized analytical requirements.

• Ability to interpret technical documentation, including data-lineage diagrams, entity-relationship diagrams (ERDs), database schemas, and business-process flows.

• Strong analytical thinking, logical reasoning, and problem-solving skills, with the ability to investigate ambiguous issues, develop hypotheses, test solutions, and document findings.

• Excellent written and spoken English communication skills, including the ability to explain technical concepts and data-related issues clearly to business stakeholders and technical teams.

• Proven ability to interact directly with clients, gather requirements, discuss technical approaches, manage expectations, and deliver customer-focused solutions.

• Experience coordinating cross-functional teams, managing stakeholder relationships, and guiding junior analysts in a technical delivery environment.

• Strong organizational and prioritization skills, with the ability to manage multiple requests