Data Analyst

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.