Head of Data Analytics Data Analyst, Cloud, Manager

An ideal candidate should possess both technical expertise and a strong business acumen. The candidate must be well-versed in the modern data stack, which has evolved significantly over the past five years. The successful candidate will oversee the overall end-to-end data architecture for an Enterprise Data Platform. This role requires deep expertise in data architecture, cloud platforms, and emerging data technologies to drive value. The ideal candidate is deeply technical and capable of guiding the technical direction for a large organisation.

Roles and Responsibilities

End-to-End Data Product Strategy:

• Lead the operationalization of our end-to-end data product strategy, aligning it with the company's strategic goals.
• Develop an end-to-end Business Intelligence framework based on requirements, recommending appropriate architecture, analytics, and reporting solutions.

Data Governance & Quality:

• Develop and implement a comprehensive data governance framework.
• Establish data quality standards and procedures to ensure accuracy, consistency, and reliability of data.
• Collaborate with stakeholders to address data quality issues and restore trust in the data.

Data Architecture & Engineering:

• Provide strategic direction and leadership for data architecture and engineering initiatives.
• Ensure data systems and platforms are designed and implemented to support next-generation data and analytics capabilities.
• Mentor and guide the analytics engineering team, enhancing their skills in data architecture and engineering best practices.

Team Leadership & Development:

• Manage and lead the Analytics and Analytics Engineering teams, fostering development and ensuring the fulfillment of the development agenda for all team members.
• Act as a senior advisor, offering expert guidance on complex data projects and challenges.

Stakeholder Engagement:

• Partner with business leaders (country CEOs and HoDs) to understand their data needs and deliver actionable insights.
• Communicate data strategies, initiatives, and results to stakeholders clearly and effectively.
• Drive a data-driven culture across the organization, promoting the value of high-quality data in decision-making.

Ideally, You Have:

• Experience in building a strong data analytics team, resolving successful data quality issues in the previous organisations.
• A minimum of 8 years of experience in data engineering, with at least 3-5 years in a leadership role.
• Deep knowledge and expertise in the data lifecycle, data modelling, and data consumption.
• Experience in designing and implementing data privacy, data governance, data catalogue, and lineage programs.
• Extensive knowledge of modern data stacks and infrastructures, including AWS Cloud, data warehouse/data lake/data mesh, data integration tools, Airflow, DBT, Snowflake, Redshift, etc.
• Business acumen with an understanding of the retail, e-commerce, and finance landscapes.
• Experience working directly with business partners and leaders, and managing issue escalation.
• Experience managing and developing team members, mentoring colleagues to achieve career objectives, and resolving performance issues.
• Strong cross-functional communication skills, with the ability to derive requirements, architect solutions, and simplify and explain complex problems to diverse audiences, including executives.

What we offer (Why us)

• Competitive salary package with ample opportunities for professional growth.
• 2 performance review times per year
• Up to 15 days off per year, birthday leave and anniversary leave
• Annual Health check-up, Premium Healthcare Insurance
• Social, Health, and Unemployment Insurance will be based on full salary.
• Team building, company trip, 13th Salary
• On-the-job training and coaching with smart and friendly experts
• Union and other activities (8/3, 20/10, Mid-Autumn, Year-End Party, v.v...)
• Free tea, coffee, snacks
• Free Parking fee
• Super vibrant startup environment with a talented and very motivated team.
• Opportunity to learn from smart managers with vast experience in e-commerce, product development, data management, and technical engineering
• Make a great impact for millions of e-commerce businesses.