Data Analyst Manager

Key Responsibilities:

• Develop and maintain a deep understanding of the company’s data sources, systems, and data structures to identify opportunities for business analysis and improvement.
• Design and develop effective data analysis solutions and analytical frameworks to support business and strategic decision-making.
• Design, implement, and maintain data models and data pipelines to ensure data is structured, accessible, accurate, and reliable.
• Develop meaningful data visualizations, dashboards, and management reports to translate complex data into actionable business insights.
• Partner with business stakeholders to understand reporting and analytics requirements and translate them into scalable data solutions.
• Ensure business reporting and analytics requirements are effectively supported through reliable and relevant data solutions.
• Evaluate existing analytics tools, technologies, and processes and identify opportunities to improve the company’s data analytics capabilities and infrastructure.
• Stay up-to-date with emerging data analytics technologies, tools, methodologies, and industry trends, and recommend relevant solutions for the organization.
• Drive continuous improvement of data analytics processes, frameworks, and infrastructure to improve efficiency, scalability, and data accessibility.
• Build and maintain strong relationships with key internal stakeholders to understand business needs and provide data-driven recommendations.
• Manage relationships with external data, technology, and analytics partners to gain access to relevant insights, solutions, and best practices.
• Explore and facilitate strategic data partnerships that can strengthen the company's analytics capabilities.
• Ensure data analytics initiatives are aligned with business priorities and deliver measurable value to the organization.
• Lead and support the development of a data-driven culture across relevant business functions.

Qualifications:

• Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.
• Minimum 6–8 years of experience in data analytics, business intelligence, data science, or a related field, with experience in a managerial or team leadership capacity.
• Strong experience in developing data models, data pipelines, analytical frameworks, and business intelligence solutions.
• Strong understanding of data visualization and reporting tools such as Power BI, Tableau, Looker, or similar platforms.
• Strong SQL skills and experience working with large and complex datasets.
• Good understanding of data architecture, data integration, ETL/ELT processes, and data quality management.
• Experience working with ERP, CRM, e-commerce, retail, or other business systems and integrating data from multiple sources would be an advantage.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into practical data solutions.
• Strong stakeholder management and communication skills, with the ability to present complex data and insights in a clear and business-friendly manner.
• Experience managing external technology, analytics, or data partners is a plus.
• Strong interest in emerging data analytics technologies and the ability to evaluate their potential business applications.
• Strong project management and organizational skills, with the ability to manage multiple analytics initiatives simultaneously.
• A strategic and business-oriented mindset, with a strong focus on turning data into actionable insights and measurable business impact.