Data Analyst

• Monitor business KPIs and build an indepth understanding of the business across the entire data funnel suggesting key opportunities for growth.
• Automating and optimizing processes to reduce the time spent
• Set up and maintain automated data processes. Monitor and audit data quality
• Clean and transform raw data to create useful metrics from a business standpoint
• Identify analyze and interpret trends or patterns in complex data sets and present it successfully to management.
• Create compelling visual representations of data automate reports & setup alerts to enhance consumption of data at best moments
• Empower teams across the organization by making data solutions accessible to relevant stakeholders
• Convert a business problem into a data problem and have an intuition of how it can be productized implemented and deployed

• Technologies: AWS Docker Git Metabase Tableau PowerBI (DAX PQ) SAC
• Language: HTML CSS JavaScript Python SQL
• Frameworks: Pandas Numpy SciKit Learn Matplotlib D3js
• Databases: MySQL SQL Server MongoDB

• Ability to communicate technical ideas fluidly and accurately to nontechnical stakeholders
• Ability to manage multiple projects at the same time with a high success ratio
• Interface with heads of departments and across teams and functions to achieve projects
• Critical Thinking: Ability to look at the data and come up with new conclusions based on the findings. Good logical reasoning and analytical skills
• Quantitative skills: Knowledge of statistical methods and data analysis software
• Team Player: Proactively ask for and offer help
• Ability to break down larger questions into smaller executable problems and communicate closure deadlines
• Strong problem solving and ability to learn quickly in a dynamic environment
• Dedication and passion for technology. Autodidact and selfmotivated Analytical mind and business acumen and problemsolving aptitude

power bi,python,tableau