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.
