- 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
