Job Responsibilities:
- 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
Skills and Knowledge required:
- 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
Competencies (Behavioural Skills) required:
- 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