THE SUCCESSFUL CANDIDATE WILL fulfill the below job responsibilities to drive best in class process mapping, analysis and understanding. Data Analysis and Manipulation: ● Proficiency in tools like Microsoft Excel (including advanced functions like pivot tables, VLOOKUP, and macros). ● Strong skills in querying and managing data using SQL. Data Visualization: ● Creating dashboards and visualizations using tools like Tableau, Power BI, or Looker. ● Using Python (Matplotlib, Seaborn) or R (ggplot2) for customized visualizations. Programming Languages: ● Python (libraries like Pandas, NumPy) or R for statistical analysis and automation.

Database Management:
● Experience working with relational databases (MySQL, PostgreSQL, SQL Server) and NoSQL databases (MongoDB). Statistical Software: ● Familiarity with tools like SAS, SPSS, or Stata for advanced statistical modeling. ● Descriptive Statistics: Understanding measures like mean, median, standard deviation, and variance. ● Inferential Statistics: Conducting hypothesis testing, confidence intervals, and regression analysis. ● Probability Theory: Applying probability concepts in predictive modeling and risk assessment. Attention to Detail: Ensuring accuracy in data analysis and reporting. Collaboration: Working with cross-functional teams (e.g., IT, marketing, finance) to gather data and share insights. Time Management: Prioritizing tasks and meeting deadlines for data projects. Data Storytelling: Presenting data findings in a clear and compelling way for non-technical stakeholders. Report Writing: Creating detailed and concise reports summarizing analysis and insights. Presentation Skills: Effectively communicating results and recommendations through visuals and narratives.
SKILLS AND EXPERIENCE
● Ability to understand data structures, data tables and find connections between data structures to build analysis. ● Highly skilled at consolidating and manipulating large amounts of data and providing visualization to understand trends and patterns. ● Identifies key linkages in data that bring insights into process breaking points or process opportunities. ● Excellent communication skills, written, verbal and strong presentation skills. Ability to motivate and lead teams by influence. ● Able to translate customer feedback into meaningful solutions, is a self-motivated multitasker with high attention to detail.