GeoIQ - Assistant Vice President - Analytics

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:

- 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.