We are looking for a skilled and team-oriented Data Analyst to join our team. The successful candidate will be responsible for being a focal person between Kaizen and Client. The candidate will be responsible for implementing a variety of tools and approaches to process, interpret, organize, and transform data throughout the engagement. Will work closely with the Solution Architect and the Systems Analyst to develop the data analytics component of any solution that is created

Responsibilities and Tasks

• Understanding the business requirements so as to formulate the problems to solve and restrict the slice of data to be explored.

• Acquire data from different data sources, in different formats and maintain databases/data systems

• Filter and “clean” data from data sources, and performance indicators to locate and correct code problems

• Interpret data, analyze results using statistical techniques and provide ongoing reports

• Develop and implement strategies for databases, data collection systems, data analytics and other tools that optimize decision making based on don data

• Performing statistical analysis and experiments to derive business insights.

• Clearly communicating the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations.

• Identify, analyze, and interpret trends or patterns in complex data sets

• Working with programmers, engineers, 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.

• Work with management to prioritize business and information needs

• Locate and define new process improvement opportunities

Reports to: Technology & Data Director

Job Requirements

Qualifications

• Minimum bachelor's degree in information technology, computer science, software engineering, or a related quantitative field.

• Experience in Data Analysis, Data Engineering, Data Visualization, Data Management

• Excellent problem-solving, Sound logical and analytical reasoning and numerical skills

• Excel proficiency and knowledge of querying languages

• Expertise in data visualization and data analytics techniques

• Able to explain, communicate and present complex technical concepts to clients and business partners

How to Apply

Register using THIS LINK

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