To be successful in this role, you should possess :

- Overall Industry experience 6-10 years in Data Analysis with at least 1-2 years in a leadership role.

- Bachelor's Degree in analytical subject area. E.g., Engineering, Statistics.... etc.

- Proficient with Microsoft Excel functions and pivot tables.

- Understanding of relational database concepts and familiarity with SQL.

- Basic to intermediate Python programming concepts and hands-on experience.

- Experience in automating workflows using Python.

- Leadership abilities : Ability to guide and mentor juniors in Python automation analysis, choice of tools and techniques.

- Ability to lead teams to deliver high-quality deliverables on time.

- Good Analytical & Logical skills.

- Demonstrable aptitude for Innovation & Problem solving.

- Good communication skills & ability to work across Cross-functional teams.

- Understand complex data relationships and transform the same into data models.

- Any prior experience in handling Utility tariffs, rates and programs is an added advantage.

- Participates in sprint planning & other ceremonies, passionately works towards fulfilling the committed sprint goals.

Preferred Qualifications :

- Experience & Knowledge with tools like; Microsoft Excel macros, Power query

- Experience in Energy Industry & familiar with basic concepts of Utility (electrical/gas...) tariffs is a plus

- Excellent leadership and interpersonal skills with prior experience in collaboration with multiple teams, leading and front-ending tasks/teams by interacting with the customer.

- Familiarity with writing programs using Python or Shell scripts.

- Passionate about working with data and data analyses.

- 1+ year experience in Agile methodology