Description:
As an AVP Analytics at GeoIQ, you will play a crucial role in shaping the data-driven decision-making processes within the organisation.
You will lead a dynamic team of analysts, work closely with cross-functional teams, and contribute to the development and implementation of analytics strategies.
If you are a seasoned analytics professional with a strong background in data analysis, statistical modelling, and a passion for leveraging data to drive business outcomes, we invite you to join our team.
Team Leadership:
The core responsibilities for the job include the following:
- Lead and mentor a team of analysts, fostering a collaborative and innovative work environment.
- Provide guidance on analytical methodologies, best practices, and professional development.
Analytics Strategy:
- Develop and execute the analytics strategy aligned with business goals and objectives.
- Collaborate with stakeholders to understand their data needs and requirements.
Data Analysis And Modelling:
- Conduct in-depth data analysis to extract actionable insights from structured and unstructured data sources.
- Utilise statistical modelling techniques to identify trends, patterns, and opportunities for optimisation.
Reporting And Visualisation:
- Oversee the creation of clear and impactful data visualisations and reports for internal and external stakeholders.
- Ensure the delivery of timely and accurate reports that support informed decision-making.
Data Quality And Governance:
- Establish and enforce data quality standards to ensure the accuracy and reliability of analytical findings.
- Implement and maintain data governance practices to safeguard sensitive information.
Technology Integration:
- Stay abreast of emerging analytics technologies and tools; recommend and implement improvements to existing analytics infrastructure.
Requirements:
- Bachelor's degree in a relevant field (e.g., Statistics, Data Science, Business Analytics).
- 7+ years of experience in data analysis, with at least 2 years in a managerial or leadership role.
- Proficient in data manipulation and analysis using tools such as SQL, Python, or R.
- Experience with data visualisation tools (e.g., Tableau, Power BI).
- Strong understanding of statistical modelling and machine learning concepts.
- Excellent communication and interpersonal skills.
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