Jobs at Wakanow

KEY ACCOUNTABILITIES

• Collecting, preparing, organizing, protecting, and analysing data assets while ensuring that Wakanow meets industry best practices
• Leading inter-disciplinary teams, improving and streamlining data systems within Wakanow, and driving innovation.
• Building, maintaining, and improving the existing business intelligence and analytics tools within Wakanow
• Thorough understanding of the business and data strategy.
• Designing and implementing data strategies and systems.
• Implementing data privacy policies and complying with data protection regulations.
• Determine where to cut costs and increase revenue based on insights derived from data.
• Effectively communicate the status, value, and importance of data collection to executive members.

Requirements

KEY SKILLS & COMPETENCIES REQUIREMENTS:

Functional/ Technical

• Highly skilled in the use of SQL
• Demonstrate skills in Power BI, Tableau, analysis services, or any other data visualization tools
• Perform complex queries that ultimately lead to improvements in business performance
• Highly proficient in the workings of data technologies such as Hadoop, Teradata
• Good understanding of A/B testing
• Vast knowledge in the identification of key metrics that measure and drive long-term health of the business.
• Critical thinking, decision making and problem-solving skills
• Stakeholder Relationship Management

Behavioural

• Cross-functional Collaboration
• Managerial and Leadership Skills

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Job Objective/ Purpose of Job

• Develop and implement a comprehensive treasury strategy that aligns with the company's financial objectives, ensuring efficient cash management and liquidity across all locations.
• Monitor and manage financial risks such as currency fluctuations, interest rate movements, and counterparty risks by implementing appropriate hedging strategies.
• Liaise with local and international banks to negotiate optimal financing arrangements, manage banking relationships, and ensure compliance with all regulatory requirements.
• Collaborate with the Finance team to forecast cash flow, create budgets, and support decision-making with accurate financial analysis and reporting.
• Maintain and strengthen internal controls and policies to safeguard company assets, minimize risks, and optimize cash utilization.
• Coordinate with regional teams to ensure seamless integration of treasury operations, sharing best practices, and promoting a culture of continuous improvement.

Requirements

• Bachelor's degree in Finance, Economics, or a related field; a professional certification such as CFA, ACCA, ACA, or ACT is highly desirable.
• Minimum of 7 years of experience in treasury, finance, or a related field, with a proven track record of managing multi-currency and multi-jurisdictional treasury operations.
• In-depth knowledge of treasury management principles, financial markets, and risk management strategies.
• Strong analytical, problem-solving, and decision-making skills, with the ability to interpret complex financial data and provide strategic recommendations.
• Excellent communication and interpersonal skills, with the ability to build strong working relationships with stakeholders at all levels.
• Proficiency in Microsoft Office Suite, particularly Excel, and experience with treasury management systems.

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Responsibilities

• Undertaking data collection, pre-processing and analysis
• Building models to address business problems
• Presenting information using data visualization techniques
• Identify valuable data sources and automate collection processes
• Undertake pre-processing of structured and unstructured data
• Analyse large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Responsible for cleansing of large unstructured data and enabling analytical capability in order to query the data and address various business needs.

KEY PERFORMANCE AREAS:

Education/ Professional  Qualification:

• Bachelors’ degree or minimum relevant degree
• Masters degree in a relevant field is an added advantage

Experience:

• Minimum of 5 years experience

KEY SKILLS & COMPETENCIES REQUIREMENTS:

Functional/ Technical:

• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Knowledge of Google Functions, Google Big Query, Google Cloud Storage, Stitch Data.
• Understanding of machine-learning and operations research
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Strong math skills (e.g. statistics, algebra)