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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