Job
Description
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
