1. Use data analysis tools and software to transform raw data into valuable business insights
2. Collaborate with data engineers to develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
3. Identify, analyze, and interpret trends or patterns in complex data sets
4. Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
5. Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
6. Develop and present reports to various business stakeholders
7. Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes
8. Work with management to prioritize business and information needs
Requirements:
1. The ideal candidate will have a strong understanding of data analysis techniques and experience in methodologies for data management
2. Bachelor's degree in statistics, computer science, information systems, or a related field
3. Proven working experience as a data analyst or business data analyst
4. Technical expertise in data models, database design development, data mining, and segmentation techniques
5. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, JavaScript, or ETL frameworks), and data visualization tools (PowerBI, Tableau, etc)
6. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
7. Experience with cloud-based platforms, specifically Azure and AWS
8. Strong skills in Python and its data analytics libraries
9. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
10. Excellent communication and presentation skills with a knack for reporting technical data in a simple and understandable way
Preferred qualifications:
1. Only candidates with a PhD Degree can apply
2. Experience in data engineering, specifically building and optimizing data pipelines, architectures, and data sets
3. Experience with machine learning models is a plus
4. Certification in Data Analytics or a related field is a plus
Skill(s) required
Business AnalysisData AnalysisData SciencePythonSQL
Softsensor.ai is the USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with global leading consulting firms & corporations and delivered large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context.
