Consultant

Collect, clean, and preprocess data from various sources. Perform data analysis and generate reports to support business decisions. Develop and implement data collection systems and other strategies to optimize statistical efficiency and data quality. Interpret data, analyze results using statistical techniques, and provide ongoing reports. Identify, analyze, and interpret trends or patterns in complex data sets. Work with management to prioritize business and information needs. Collaborate with IT and other departments to ensure data accuracy and integrity. Create visualizations and dashboards to communicate data insights effectively. Assist in the development of data policies, procedures, and standards. Stay updated with the latest industry trends and best practices in data analysis.

Core responsibilities:

Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Management, or a related field. A master’s degree is a plus. Proven working experience as a Data Analyst or Business Data Analyst. Technical expertise regarding data models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, Javascript, or ETL frameworks). Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Proven working experience as a Data Analyst or Business Data Analyst. Technical expertise regarding data models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing, and presenting findings. Experience with data visualization tools such as Tableau, Power BI, Snowflake, or similar. Familiarity with big data tools and technologies such as Hadoop, Spark, etc. Experience with machine learning and predictive modeling.

Benefits: Competitive salary Opportunity to shape the HR function of a rapidly growing BPO. Work closely with a team of industry leaders who have successfully scaled BPOs in the past. Career growth and development opportunities.

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