Data Analyst  

• Collects and analyses data to identify trends and provide clients or management with valuable information that they can use to improve marketing, operational, and business practices.
• Transform raw data into information and insight, which can be used to make business decisions or offer ways to improve a business, thus affecting business decisions.
• Working alongside teams within the business or the management team to establish business needs
• Removing corrupted data and fixing coding errors and related problems
• Developing an inventory of data warehouses, data codex, and documentation of all data tracking implementation for easier reference in the future.
• Monitoring of data tracking implementation, storing, and processing to ensure that data tracked, stored, and processed is of high quality.
• Performing analysis to assess quality and meaning of data
• Developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets, that could be helpful for the diagnosis and prediction
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Analyzing local, national, and global trends that impact both the organization and the industry
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Using data mining to extract information from data sets and identify correlations and patterns
• Organizing and transforming information into comprehensible structures
• Communicating with stakeholders to understand data content and business requirements

• A minimum of 2 years of working experience is required.
• Candidates must be a Bachelor's / College Degree holder in Mathematics, Computer Science, Statistics, Economics, Information Management, or equivalent.

Specific Skills:

• Ability to analyze large datasets
• Ability to write comprehensive reports and making presentations
• Strong verbal and written communication skills
• An analytical mind and inclination for problem-solving
• Accuracy and attention to detail
• Problem Solving Skills
• Critical Thinking Skills
• Teamwork and collaboration skills
• Project Management Skills
• Adaptability
• Great Work Ethics
• Technical and leadership skills
• Microsoft Excel, Reporting and Presentation Skills
• Strong mathematical skills to help collect, measure, organize and analyze data

IT Skills/programming languages like:

• SQL, Oracle, R, MATLAB, and Python
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases
• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
• Adept at using data processing platforms like Hadoop and Apache Spark
• Knowledge of data visualization software like Tableau, Qlik
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions