Senior Analyst Bi

We are looking for Lead Analyst/Senior analysts for the Analytics & BI team. We need someone who is very good at understanding business, and using data and quantitative methods to solve business problems.

Looking for candidates who are excited to cut through tons of data to generate insights.  They should have a strong business acumen and could supercharge their insights with the right business context. They are not afraid of ambiguity and can quickly cut through the fog to get to the right question. They can iterate quickly and explore various approaches that can answer the question.

We are a fast-paced team, and expect quick turnarounds. Most of the problems we work on are ambiguous, and handling ambiguous problem statements and expectations is a key part of the role.

Responsibilities include, but are not limited to:

• Identifying and understanding problems across the business that can be solved using data and analytics

• Formulating and translating business problems in a way that can be solved using data - Explore data, build hypotheses, build models and solve problems

• Communicating results of models and analyses in a way that can be easily understood by senior management

• Working with operational and other teams to translate data insights into business outcomes

• Everyone in the analytics and BI team is hands-on and writes code and cleans data, and the same is expected of the person in this role.

• A passion for data and analytics and a bias towards action

• Common sense, and an appreciation of common logical fallacies

• Strong mathematics and logic skills

• Strong written, oral and visual communication skills

• Very strong in either Python or R, and MS Excel

The analytics and BI team at Delhivery is a “business first data team”. We are part of both the business and technology teams, and our mandate is to identify and solve high-impact business problems using data and quantitative methods. To put it simply, everyone in the team is good at both understanding business and playing with data, and that is what we expect out of future employees as well.

We deliver more than 10 packages each second, and each package gets scanned, on average, 15 times. Conservatively, that is 13 million records a day from package scans alone. The scale and complexity of the business, and data, means that there is a massive opportunity for our team to have an impact on the firm’s finances and operations.

A large part of the work consists of understanding and manipulating data, finding patterns, linking it to existing and prospective business problems, and telling stories linking them. Along the way, we build some models, write some “smart” reports and build the odd dashboard. Occasionally we put a model in production in collaboration with the tech and product teams.

Each person in the team takes end-to-end ownership of an entire problem statement - from talking to the concerned teams and defining it, gathering and putting together the data, analysing the data, building models and finally telling a story in a way that can be easily implemented by business.

Culturally, we are ambitious (in terms of the work we take on), experimental (always looking for new and improved ways of doing things) and work at a fast pace. The problems we take on are necessarily ambiguous and vague, and each member of the team is expected to take end-to-end responsibility, and make decisions independently.