Data Analyst at Bollard Consulting Limited

• Our client, a digital services solutions provider seeks to hire a data Analyst who will be responsible for collecting, analysing, and interpreting data to inform business decisions and drive continuous improvement. The ideal candidate will have a strong analytical mindset, proficiency in data analysis tools, and the ability to communicate insights effectively to stakeholders.

Responsibilities

• Develop and implement statistical models and analytical techniques to extract insights from data.
• Identify trends, patterns, and correlations within datasets to inform business decisions.
• Create compelling data visualizations and reports to communicate findings effectively.
• Collaborate with stakeholders across departments to translate data insights into actionable strategies.
• Develop and maintain data pipelines and infrastructure for efficient data access and analysis.
• Monitor data quality and ensure data integrity throughout the analysis process.
• Participate in the development and implementation of data governance policies.
• Recommend and implement solutions to improve data collection and analysis processes.
• Contribute to the development and maintenance of data dictionaries and documentation.
• Conduct ad-hoc data analysis to support specific business needs.
• Present data findings and recommendations to technical and non-technical audiences.
• Continuously learn and expand data analysis skills through training and professional development.
• Identify opportunities to leverage data analytics to improve overall business performance.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, or related field.
• 2+ years of experience in data analysis or a similar role.
• Understanding of statistical concepts and methodologies.
• Ability to structure, analyze, and extract data according to business requirements
• Familiarity with data visualization tools like Tableau or Power BI.
• Experience with programming languages and frameworks such as Python, R or SQL.
• Experience with data warehousing and data pipelines.
• Ability to translate data insights into actionable recommendations.
• Strong analytical abilities, including the ability to gather, organize, analyze, and distribute large volumes of data with precision and attention to detail.
• Excellent interpersonal and collaborative skills.