Data Analyst

Job Description (Main Duties and Responsibilities)    

• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.  
• Interpret data, analyze results using statistical techniques, and provide ongoing reports. 
• Acquire data from primary or secondary data sources and maintain databases/data systems. 
• Identify, analyze, and interpret trends or patterns in complex data sets. 
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. 
• Work closely with management to prioritize business and information needs. 
• Locate and define new process improvement opportunities. 
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques. 
• Create best-practice reports based on data mining, analysis, and visualization 
• Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.

Key Skills, Qualifications and Experience Needed [The candidate must demonstrate these in all stages of assessment]     

• Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics 
• Minimum of 10 years of experience as a Data Analyst or similar role. 
• Knowledge of libraries such as Pandas, NumPy, and Matplotlib for data analysis and visualization. 
• Excellent knowledge in Oracle Apps CRM, ORACLE Forms/Reports, Unix Shell Scripting,Golden gate and PL/SQL. 
• Familiarity with statistical analysis and data visualization packages like ggplot2 and dplyr. 
• Ability to create interactive dashboards and visual reports using Tableau/Power BI 
• Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI, etc.), databases (SQL, Oracle, etc.), programming (XML, JavaScript, or ETL frameworks), and statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.). 
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques. 
• Strong SQL or Excel skills, with aptitude for learning other analytics tools 
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. 
• Basic understanding of data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake). 
• Knowledge of Extract, Transform, Load (ETL) processes for data integration. 
• Understanding of machine learning principles and libraries (e.g., Scikit-learn) for predictive analysis. 
• Exposure to tools like Apache Hadoop or Spark can be advantageous. 
• Awareness of data privacy regulations and best practices in data management. 
• Having hands on experience with databases like MongoDB, Cassandra, or Redis for handling unstructured data. 
• Experience with cloud services like AWS (e.g., S3, Redshift), Google Cloud (BigQuery), or Azure for data storage and processing. 
• Proven success in a collaborative, team-oriented environment. 

 Other Key skills:     

• Good analytical and Problem-solving skills     
• Good communication skills     
• A thorough approach and Self starter     
• Focus on quality and delivery     
• Working together in teams.     
• Leadership and effective decision making.     
• Flexible Attitude     
• Excellent customer service     

Qualifications: Bachelor's degree or above in the UK or Equivalent.