Our client, a forward-thinking IT company based in the vibrant city of Limassol, is seeking a dedicated Data Analytics - Team Leader to join their team. This role applies advanced analytical skills, business knowledge, and data technologies to transform data into actionable insights that support business decision-making. The Data Analytics Team Leader will oversees the analytics function, ensures high-quality delivery of analytical projects, and guides the team in leveraging data to achieve measurable business outcomes. The role includes planning, assigning, and supervising the work of the analytics team. If you are ready to take the next step in your career and lead exciting data analytics projects, we encourage you to apply now.
MAIN DUTIES AND RESPONSIBITLIES
- Develop and monitor analytics project plans, scope, deliverables, and timelines in collaboration with the project management team.
- Coordinate internal resources and external partners to ensure projects are delivered on time, within scope, and within budget.
- Oversee the quality and accuracy of analytical outputs, dashboards, and reports.
- Ensure adherence to internal analytics methodologies, governance, and data privacy standards.
- Conduct weekly monitoring and reporting of project progress and risks.
- Build strong relationships with internal and external stakeholders through structured and clear communication.
- Understand client analytical needs, manage expectations, and translate requirements into data solutions.
- Address concerns by providing timely, data-driven alternatives and recommendations.
- Collect feedback to assess satisfaction and continuously improve service quality.
- Lead, coach, and develop the Data Analytics team to ensure high performance and continuous growth.
- Conduct regular daily/weekly team meetings to review progress, resolve issues, and define next steps.
- Set annual performance goals and review progress through quarterly check-ins.
- Identify resource needs and participate in recruitment and onboarding of new analytics talent.
- Encourage continuous development of technical and analytical expertise within the team.
- Identify opportunities for analytical enhancement and additional data-driven services within existing accounts.
- Support the sales team by recommending relevant analytics solutions aligned with client needs.
- Provide strategic insights that help clients enhance operational efficiency, decision-making, and performance.
- Maintain up-to-date knowledge of data analytics trends, tools, and best practices (e.g., data visualization, AI/ML, predictive analytics).
- Develop deeper expertise in BI platforms, data engineering principles, and modern data stack technologies.
- Contribute to continuous improvement of analytics frameworks and methodologies.
CANDIDATE PROFILE
- Master’s degree in Data Science, Computer Science, Statistics, Information Technology, Business Analytics, or a related field.
- Extensive experience in data analytics, business intelligence, or data science roles.
- Strong knowledge of analytics tools and technologies (e.g., Power BI, Tableau, SQL, Python, R, data warehouses, cloud ecosystems).
- 5–7 years of experience delivering analytical projects at a senior level.
- Proven experience in leading teams and delivering analytics initiatives within time and budget.
- Experience working with business stakeholders to define analytical requirements and present insights.
- Fluency in Greek and English is required.
COMPANY BENEFITS
- Competitive Remuneration Package.
- Provident Fund & Medical Fund.
- Performance Bonus Scheme.
- Hybrid Working Model promoting flexibility and work-life balance.
- Half-Day Fridays.
- Professional Development opportunities with top industry experts.
- A collaborative, entrepreneurial, and inclusive company culture.
Due to the high volume of applications, we receive at GRS Recruitment, only shortlisted candidates will be responded to.
To apply for this position, please email your CV to
Alex Evangelides, alex@grsrecruitment.com quoting the above job reference or call +357 25 342 721 for further information.
