Responsible for analyzing and interpreting large sets of data to identify patterns trends and insights that can inform business decisions. Proficient in using data analysis tools statistical methods and data visualization software.Responsibilities:
- Using statistical techniques and data analysis software to identify patterns and trends in the data.
- Identifying opportunities to improve business processes and outcomes based on the analysis of data.
- Ensuring data accuracy completeness and consistency by performing quality control checks and data cleaning.
- Developing and maintaining data models databases and other data management systems.
- Should have strong analytical and problemsolving skills as well as a deep understanding of statistical concepts and methods.
- They should be proficient in data analysis software such as Python R or SAS as well as data visualization tools like Tableau Power BI or Google Data Studio.
Job Requirements (Describe the educational requirements suggested year and type of experience nature and extent of skills/abilities required for the desired position). Professional
- Qualification Knowledge Skills Competencies Bachelor s or Master s Degree
- Knowledge of Python SQL Azure Data Factory
- Knowledge of Tableau is a plus
- Ability to synthesize large chunks of information and data from multiple people and files into summary documents in digestible format
- Basic understanding of loan process / finance business and/or Accounting is a plus
- Strong communication skills
- Ability to navigate through a matrix of complex org structures to meet relevant people and extract data from the Org structure and IT infrastructure
- Integrity of dealing with sensitive data information
- Ability to deal with complex mathematical problems in dogged and untiring manner
- Consulting abilities: MECE approach problem solving lateral thinking
- Result Orientation with in Engineering Execution Excellence (CS/EE/Math) or Management Customer Focus Expertise in Data Science Client Weaving passion and energy Math at work
data,data analysis,skills,python,software,data visualization,management,plus,sql