Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives
Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives
Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress
Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets
Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making
Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets
Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action
Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities
Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills
Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes
Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner
Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives

Qualifications:

Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science (Master's or Ph.D. preferred)
10+ years of experience as a Data Analyst, including leadership responsibilities
Proven track record of designing and implementing data analytics strategies
Expert proficiency in SQL, Python, or R
Strong experience in statistical analysis, predictive modelling, and machine learning
Hands-on experience with data visualization tools like Tableau or Power BI
Knowledge of data warehousing, automation, data governance, and database structures

Preferred Qualifications:

Experience in cloud platforms like AWS, Azure, or GCP
Familiarity with big data technologies like Hadoop or Spark
Knowledge of data science libraries like TensorFlow, PyTorch, or scikit-learn
Business acumen and ability to align data analysis with strategic goals
Experience in leading cross-functional teams

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