Digital Analytics Manager

Roles and Responsibilities

• Develop and implement a comprehensive data analytics strategy that aligns with the overall business objectives.
• Lead the selection and implementation of advanced data analytics and AI tools and technologies such as machine learning, artificial intelligence, and data mining.
• Establish a data-driven culture within the organisation by promoting the use of data-based insights for decision-making.
• Collaborate with business units to identify opportunities for data-driven innovation and improvement.
• Oversee the development and deployment of advanced analytics solutions to address specific business challenges.
• Ensure the quality and integrity of data assets throughout the organisation.
• Communicate effectively with senior leadership to advocate for the value of data analytics and drive adoption of data-driven initiatives.

The Successful Applicant

• Bachelor's degree in computer science, data science, statistics, or a related field with experience working in the energy or oil and gas industry.
• Minimum of 10 years of experience in data analytics and a proven track record of leading successful data-driven initiatives.
• Strong understanding of advanced analytics techniques, including machine learning, artificial intelligence, and predictive modeling.
• Analytical Skills: Strong ability to analyze large data sets and derive meaningful insights that drive decision-making.
• Technical Proficiency: Expertise in analytics tools (e.g., Google Analytics, Adobe Analytics), data visualization software, and SQL.
• Leadership: Proven leadership skills to manage and motivate teams, fostering a collaborative and innovative work environment.
• Communication Skills: Excellent verbal and written communication skills to present complex data insights clearly to stakeholders.

Desired Candidate Profile

• Analytics Strategy Development: Creating and implementing a comprehensive digital analytics strategy that aligns with business objectives.
• Team Leadership: Managing and mentoring a team of analysts, fostering a data-driven culture and encouraging professional development.
• Data Analysis and Interpretation: Analyzing complex data sets to derive actionable insights and recommend improvements in digital marketing strategies.
• Performance Measurement: Establishing key performance indicators (KPIs) to measure the effectiveness of digital campaigns and initiatives.
• Reporting and Visualization: Developing dashboards and reports to communicate findings to stakeholders, using data visualization tools (e.g., Tableau, Google Data Studio).
• Collaboration with Cross-Functional Teams: Working closely with marketing, product, and IT teams to ensure data is accurately collected, tracked, and analyzed.
• Tool and Technology Management: Evaluating and implementing analytics tools and technologies to enhance data collection and reporting capabilities.
• A/B Testing and Experimentation: Designing and executing A/B tests to optimize user experience and conversion rates on digital platforms.
• Market Research: Conducting market and competitive research to inform strategic decisions and identify growth opportunities.
• Continuous Improvement: Staying updated on industry trends and best practices in digital analytics to enhance methodologies and processes.