Research/Data Analyst at Mshel Homes Ltd

Job Description

• Perform qualitative and quantitative research as required for organizational projects.
• Identifies and defines the objective of any assigned marketing, operations, financial and other categories of research project; determines the best methods to use to meet those objectives.
• Research and compile data related to current product market, customer demographics and interest, and factors influencing product demand; analyzes results to identify ways of maximizing sales and market penetration of current products.
• Compiles data related to competitors products such as pricing, sales, and marketing or distribution methodology.
• Drafts questionnaires, polls, surveys, and other data collection resources.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identifies potential new products or markets through research.
• Forecasts and tracks industry marketing and sales trends based on collected data.
• Identify trends, provide analysis of trends and forecasts and recommend actions for optimization
• Interpret data, analyzes data using statistical techniques; makes recommendations related to research findings.
• Reports findings, complete with graphs illustrating data and written text explaining complex findings.
• Delivers reports and presentations of findings to management and/or executive leadership.
• Develop recommendations to improve business operations going forward

Requirement/Skills

• Bachelor’s degree in any field. Preferred fields include Mathematics, Statistics, Economics, Computer Science, Information Management/Systems, Market Research or related.
• A masters degree with relevant research component will be an added advantage.
• Minimum of three years excellent research experience. 
• Proven working experience as a Data Analyst or Business Data Analyst
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) is an added advantage
• Adept at queries, report writing and presenting findings
• Ability to translate complex concepts and methodologies into easily understood language.