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.
Bachelors degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Masters 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.

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