Senior Data Analyst

Responsibilities:

• 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.

Requirements:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred
• 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role
• Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives
• Expert proficiency in SQL for data extraction, manipulation, and analysis
• Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning
• In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms
• Strong experience with data visualization tools such as Tableau, Power BI, or similar
• Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar
• Solid understanding of database structures, data warehousing concepts, and data governance principles
• Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions
• Excellent leadership, strategic thinking, and stakeholder management abilities
• Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization
• Proven ability to work independently, manage multiple projects, and prioritize effectively

Preferred Qualifications:

Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud.

• Knowledge of big data technologies such as Hadoop, Spark, or similar.
• Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn.
• Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies.
• Experience in leading and managing cross-functional teams.