Company : India's largest B2B fresh produce supply chain company.

A pioneer in the tech-driven supply chain space.

Has raised over $150mn from Tiger Global, Accel US, Accel India, Syngenta and others.

Location: Bangalore

Role:

- We are looking for someone whose experience ranges from 10 to 15 years.

- He/She should have worked in a startup and have experience in building & scaling the Analytics team.

- The Head of Analytics is first and foremost a leader in the analytics function overseeing all activities of the data analytics.

- The candidate should have had a proven and successful experience in the execution of data analytics initiatives, leading to the development of useful insights, team management and the improvement of a business s performance and driving top-line growth.

About Role:

Responsibilities

- Cultivate an understanding of how product analytics connects to business strategy and product strategy and how analysts can effectively partner with product teams to build data-driven roadmaps

- Lead a team of Product Analysts and partner with cross-functional teams to define success metrics, craft approaches to track the data and identify errors, quantify and evaluate the data

- Translate data into consumable, actionable narratives

- Maintain a customer-centric focus: strive to be a domain and product authority through data, develop trust amongst your peers and leaders

- Be an advocate for data-driven everything with the ability to focus on the big picture takeaways of any analysis while being able to speak to the underlying details

- Evangelize utilizing experimentation (A/B testing) to validate hypotheses and assumptions and measure the impact

- Grow the Product Analytics team both through hiring and coaching, training and mentoring existing team members

Requirements

- 9+ years of work experience in data analytics or a related discipline and 3+ years of people management experience

- A passion for analytics, using data to inform decision-making and the ability to tell stories using data

- Proven track record in leading a team specifically hiring, building and developing a team

- Working knowledge of managing large data sets, and using analytics and data science tools (eg - SQL, Python, R)

- Ability to work and communicate with non-technical colleagues to analyze data and solve problems

- Confidence working with ambiguity, unknown variables, and missing context (and find ways to bridge those gaps, when necessary)

- Strong verbal and written communication skills, with the ability to present and communicate data to senior management

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