Data Analyst

Responsibilities: 

• Collect and clean large datasets from various sources, ensuring data accuracy and integrity. 
• Analyze complex datasets using statistical methods, data mining techniques, and advanced analytics tools. 
• Interpret data and identify patterns, trends, and correlations to uncover actionable insights.
• Develop and maintain data models, algorithms, and statistical models to support analysis and reporting and to identify trends and patterns.
• Create visualizations, reports, and dashboards to effectively communicate data-driven insights to stakeholders.
• Collaborate with cross-functional teams to define and prioritize data requirements for business projects and initiatives and to deliver insights.
• Identify data quality issues and work with relevant teams to implement solutions and improve data integrity.
• Stay up-to-date with industry trends and best practices in data analysis and apply them to enhance analysis processes and methodologies.
• Contribute to the development and improvement of data management and analysis processes and workflows.
• Develop and maintain dashboards and reports to track key performance indicators. 

Requirements: 

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (Master’s degree preferred). 
• Excited about the prospect of working in a fast-paced, dynamic environment with a portfolio of clients and projects that is quickly growing. 
• Proficient in the use of SQL, PowerBI, Tableau, Python/R, Advanced Level Excel, Jupyter Notebook, and SAS
• Strong knowledge of statistical methods, data mining techniques, and data visualization tools
• Excellent problem-solving skills and the ability to work with large and complex datasets.
• Strong attention to detail and a passion for accuracy in data analysis.
• Ability to work independently and collaboratively in a fast-paced environment.
• A proven communication and presentation skill
• Should possess excellent problem-solving skills and the ability to communicate complex findings to both technical and non-technical stakeholders. 
• Proven work experience as a Data Analyst or in a similar role, preferably in a data-intensive or analytics-driven environment.
• Strong academic records from a top-tier institution
• Experienced in statistical modelling and possessing strong knowledge of advanced Excel features is desired.  

Benefits: