Senior Data Analyst Architect (Team Lead)

Role Overview: You will be responsible for leading the data analytics team as a Data Analyst Architect, with a focus on designing and optimizing data solutions, providing technical guidance, and managing a team to deliver high-impact data-driven projects. Your role will involve deep understanding of data systems, extensive experience in analytics architecture, and proven leadership skills. Key Responsibilities: - Design scalable and efficient data architectures to support analytics and business intelligence needs. - Establish and maintain data governance standards, ensuring data quality, security, and compliance. - Lead the development and delivery of actionable insights from complex datasets. - Collaborate with stakeholders to understand business goals and translate them into data-driven solutions. - Manage, mentor, and inspire a team of data analysts and engineers. - Foster a culture of excellence, innovation, and continuous improvement within the team. - Stay updated with emerging trends and technologies in data analytics and architecture. - Guide the adoption and integration of modern tools (e.g., Power BI, Tableau, Apache Spark, Snowflake, AWS, Azure) to enhance analytics capabilities. - Oversee end-to-end project lifecycles, ensuring timely and quality deliverables. - Identify risks and develop mitigation strategies to keep projects on track. - Partner with cross-functional teams to align analytics architecture with organizational strategies. - Present findings and recommendations to executives and other key stakeholders. Qualifications Required: - Bachelors or Masters degree in Computer Science, Data Science, Information Systems, or a related field. - Minimum 10+ years of experience in data analytics, architecture, and team leadership. - Expertise in data modeling, ETL processes, and database design. - Proficiency in SQL, Python, R, and other analytical tools. - Experience with big data technologies (e.g., Hadoop, Spark, Kafka). - Strong understanding of data visualization platforms (e.g., Tableau, Power BI, Looker). - Knowledge of cloud platforms and services (AWS, Azure, GCP). - Familiarity with machine learning frameworks and predictive analytics. - Proven experience managing and mentoring teams, with strong interpersonal and communication abilities. - Excellent analytical and critical-thinking skills, with a strategic mindset.,