Assistant Manager - Business Intelligence (3-5 yrs)

Note - not looking for data/business analysts

What kind of person are we looking for ?

We are seeking a highly skilled and motivated Business Intelligence Assistant Manager to join us. The successful candidate will be responsible for overseeing developing insights, and supporting business strategies through data-driven decision making. This role requires a strong background in BI analytics, excellent people managerial skills, and a deep understanding of fintech industry trends.

What would you get if you worked with us ?

You'll be closely working on problem statements and influencing decisions that impact 42 million merchants. While supporting merchant experience strategy & operations, you'll own data visibility, dashboarding, insights & subsequent strategic decision making. By creating powerful narratives based on support data & ticket insights, you'll help the merchant experience strategy & operations team to prioritize & achieve ambitious goals.

What do you need to have to apply for this position ?

- Minimum 3-5 years of analytics experience in relevant roles.

- Lead and mentor a team of data analysts, ensuring high performance and continuous development.

- Ability to manage multiple projects/BUs and priorities simultaneously.

- Present findings and insights to senior management and other stakeholders in a clear and concise manner.

- Collaborate with business units to understand their needs and provide data-driven recommendations to support strategic initiatives.

- Strong problem solving & analytical skills, followed by strong stakeholder management skills.

- Identify opportunities for process improvement and implement best practices in data analysis and reporting.

- Penchant for business & curiosity to understand how the product works

- Ability to clearly explain thoughts and ideas either verbally or in the written form.

- Candidates who are able to explain the story behind their analysis will find themselves at an advantage.

- Intuition for data and ability to handle big data sources.

- Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, Qlik Sense.

- Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis, is a pulse.

- Understanding of data-analysis languages such as R, Python and in core statistical concepts is good to have.