Lead Data Analyst

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**Lead Data Analyst | Ecommerce | Hatfield | Hybrid (2 days office)**

***About us**:
Ocado Technology is powering the future of online retail across the globe through disruptive innovation and automation. Join us to create world-class systems at the intersection of robotics and IoT, cloud platforms, big data, machine learning, software development, and beyond.

We're constantly reinventing ourselves, learning fast, evolving our craftsmanship and taking risks as we strive to fulfil our mission to change the way the world shops. We enable some of the world's most forward-thinking retailers to do grocery online profitably, scalably and sustainably.

Over the past two decades, we have developed a wide technology estate that includes robotics, AI and machine learning, simulation, forecasting and edge intelligence which all form part of our game changing 'Ocado Smart Platform' product.

We champion a value-led culture to get our teams working at their very best and to help create a collaborative working environment that our people love. Core values of Trust, Autonomy, Craftsmanship, Collaboration and Learn Fast help drive our innovative culture.

***About the role**:
The Ecommerce stream focuses on all the systems that allow customers to shop with our partners (via webshop, apps, voice). Our goal is to empower our partners to be the life assistant for all their shoppers' needs, and provide personalised, smart, inspiring and adaptable shopping experiences.

The Lead Data Analyst will be responsible for leading the analyst team within Ecommerce and will report into the Head of Data. The Lead Analyst will help to set the strategic direction of data insight within the stream and will get hands on with defining, monitoring and reporting stream level metrics to help the stream become more data driven in its approach to Product development. In addition, the Lead Data Analyst will take line management responsibilities for the Product Analysts in the stream and will be in charge of continuous improvement of the craft of Analytics including mentoring, coaching, 1:1s and feedback

**We envisage the roles and responsibilities will look like the following**:
**Individual contributor**:

- Investigate and tell compelling data stories to Product leadership, highlighting areas where we can drive business value.
- Work with the Product leadership team to define, monitor and report on the key client metrics for our platform
- Create product dashboards and automated reports that provide insight to how we are progressing with our quarterly targets
- Set and regularly review the strategic direction of data within Ecommerce

**Leading the Analyst team**:

- Lead the team to produce well structured and tested insights for their stakeholders.
- Champion best practices, provide opportunities for learning and sharing and support the team with your technical experience.
- Ensure the right processes are in place and providing value.
- Facilitate the continuous improvement of the team with mentoring, coaching, 1:1s and feedback; create and lead a happy, high performing team of world class Analysts
- Take line management responsibility for the team members; put your people first.
- Recruit new team members if required and assist the new starters.
- Protect the right balance between high standards, autonomy and timely delivery of insights.

***What we're looking for**:

- Strong communication and stakeholder management skills
- Experience of coaching and developing others
- Experience of building a team environment which is innovative, motivational, highly-productive and fun to work in
- Strong academic qualifications
- Strong analytical and numerical skills
- Experience in a Senior or Lead Data Analyst capacity
- Hands-on experience using SQL, BigQuery & Excel

**This would make you stand out from the crowd**:

- Strong commercial experience with online grocery or take-away services or other Ecommerce platforms
- Proven experience of communicating Ecommerce analytics to an array of business stakeholders
- Experience with data visualisation tools like Data Studio, Looker, Tableau
- Experience with Business Intelligence tools
- Some experience with data oriented programming languages like Python

***What do I get in return**:

- 30 Day 'work from anywhere' policy +
- Remote working for the month of August
- 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)
- Pension scheme (various options available including employer contribution matching up to 7%)
- Private Medical Insurance
- 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)
- Train Ticket loan (interest-free)
- Cycle to Work Scheme
- Opportunity to participate in Share save and Buy as You Earn share schemes
- Income Protection(can be up to 50% of salary for 3 years) and Life Assurance(3 x annual salary)