Lead Data Analyst

We are seeking an experienced and results-driven Data Analysis Team Lead to join our growing analytics team.

The ideal candidate will possess strong analytical capabilities, excellent leadership skills, and a passion for transforming complex data into actionable business insights.

This role involves working with large-scale datasets, developing impactful dashboards and reports, collaborating with cross-functional stakeholders, and mentoring a team of analysts to support data-driven decision-making across the organization.

Key Responsibilities:Data Extraction, Processing & Analysis:

• Write, execute, and optimize complex SQL queries, stored procedures, and ETL processes.

• Extract, clean, transform, validate, and analyze data from multiple sources, including databases, APIs, and flat files.

• Ensure data accuracy, consistency, and integrity by identifying and resolving data quality issues.

• Perform exploratory data analysis to identify trends, patterns, and opportunities for business improvement.

• Develop and maintain scalable data models and analytical frameworks.

Reporting & Data Visualization:

• Design, develop, and maintain interactive dashboards and reports using tools such as Tableau, Power BI, Looker, or similar platforms.

• Present complex data in a clear, concise, and visually compelling manner for technical and non-technical stakeholders.

• Automate recurring reports and dashboards to improve efficiency and reduce manual effort.

• Monitor key business metrics and provide regular performance insights.

Business Partnership & Stakeholder Management:

• Translate analytical findings into actionable recommendations that support strategic business decisions.

• Collaborate with stakeholders across departments including Product, Operations, Marketing, Finance, and Business Leadership.

• Define, track, and report on key performance indicators (KPIs) and business metrics.

• Prepare and deliver insightful presentations to senior leadership and cross-functional teams.

• Serve as a subject matter expert for data analysis and business intelligence initiatives.

Team Leadership & Mentorship:

• Lead, mentor, and support a team of data analysts by providing technical guidance and professional development opportunities.

• Conduct code reviews and ensure adherence to data analytics best practices.

• Drive continuous improvement in analytical methodologies, reporting processes, and data governance standards.

• Foster a culture of innovation, collaboration, and data-driven decision-making.

• Stay informed about emerging trends, tools, and technologies in analytics, business intelligence, and data science.

Required Qualifications:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, Data Science, or a related quantitative discipline.

• 6+ years of progressive experience in Data Analytics, Business Intelligence, or a related field, including experience in a senior or leadership role.

• Strong proficiency in SQL for data extraction, transformation, and analysis.

• Hands-on experience with data visualization and reporting tools such as Tableau, Power BI, Looker, or equivalent.

• Strong understanding of data warehousing concepts, data modeling, and large-scale datasets.

• Excellent analytical, problem-solving, and critical-thinking skills.

• Strong communication and presentation skills with the ability to explain technical concepts to non-technical audiences.

• Proven ability to lead teams, mentor analysts, and manage multiple projects simultaneously.

Preferred Qualifications:

• Prior experience working in Google or PLX environments.

• Experience with cloud platforms, particularly Google Cloud Platform (GCP).

• Familiarity with Big Data technologies and modern analytics ecosystems.

• Knowledge of data governance, data security, and compliance best practices.

• Exposure to Python, R, or other analytical programming languages is an added advantage.

Key Competencies:

• Leadership & Team Management

• Strategic Thinking

• Stakeholder Management

• Data Storytelling & Visualization

• Business Acumen

• Problem Solving & Decision Making

• Continuous Learning & Innovation

Why Join Us?:

• Opportunity to lead impactful analytics initiatives that drive business growth.

• Work with large-scale datasets and modern analytics technologies.

• Collaborate with cross-functional teams and senior leadership.

• Mentor and develop a growing team of data professionals.

• Contribute to building a strong data-driven culture within the organization.