Data and Analytics Manager

at  IPAF

Reporting to the Head of IT and Finance, the Data and Analytics Manager is responsible for driving forward IPAF’s Data Strategy and working with all departments to build data-driven results across the organisation. This stand-alone role requires a hands-on approach to data management, collection, and analysis to identify trends and provide IPAF with valuable information to improve marketing, operational, and business practices.

SKILLS, COMPETENCIES & QUALIFICATIONS:

• Bachelor’s degree in IT or equivalent.
• Solid knowledge of big data tools like Azure and database systems like SQL.
• Strong proficiency in Power BI.
• Familiarity with data visualization and analytics tools, such as Tableau.
• Excellent analytical skills to scrutinise data for inaccuracies.
• Solid programming skills and in-depth knowledge of statistical methods.
• Strong ability to decipher and organise large amounts of data.
• Proficiency in producing informative, relevant, and user-friendly reports

EXPERIENCE REQUIRED

• Previous experience in data management and analysis.
• Proven experience in supporting and implementing complex data management systems.
• Experience in maintaining high-standard data security practices.
• Proficiency in relevant programming languages, database systems, and big data tools.
• Experience in quality assurance and data visualisation development.
• Hands-on data analytical experience

THE MAIN DUTIES OF THIS ROLE ARE TO:

• Develop and implement IPAF’s Data Strategy, aligning it with overall business objectives.
• Manage relationships with IT providers.
• Design and implement databases and reports to address business needs.
• Analyse data for inconsistencies to ensure consistency in reporting.
• Design KPIs for reporting and business performance.
• Manage all data-related projects and provide management information on initiatives.
• Oversee commercials for pricing agreements and rebates.
• Apply best practices in data storage, organisation, cleaning, and mining.
• Develop and implement policies for effective data handling and management.
• Assess systems and recommend necessary software, hardware, and storage upgrades.
• Ensure compliance with regulatory standards in data management protocols.
• Streamline data collection and analysis procedures for quick access to metrics.
• Use data mining to extract information, identify correlations, and predict trends.
• Organise and transform information into comprehensible structures.
• Perform statistical analysis of data.
• Visualise data using appropriate tools and techniques.
• Prepare and present reports to management, suppliers, and customers.
• Identify and recommend cost-saving opportunities through process improvements.
• Monitor data quality and remove corrupt data.
• Communicate with stakeholders to understand data content and business requirements

RESPONSIBILITIES AND ATTITUDE

• Strong communication skills.
• Ability to engage with stakeholders at all levels.
• Commercial acumen.
• Confidence in addressing groups of superiors and effectively presenting findings.
• Proactive approach to problem-solving and process improvement.
• Commitment to staying updated with industry trends and best practices in data management and analytics.