Product Analytics Manager
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About Bark
Bark is revolutionising the way people find professionals in over 1,000 unique categories. As the UK's largest and fastest-growing services marketplace, we're on a mission to make finding the right professional quick and easy. With a presence in eleven countries and plans for further expansion, joining us at this genuinely exciting time will be a journey like no other.
Our cutting-edge technology ensures that you can always find the best professional for any job. With a talented team of over 270 dedicated individuals, we're committed to providing exceptional service and ensuring that our customers are satisfied every step of the way.
This is an exciting time to join our scaling business, we recently placed in the Sunday Times Best Places to Work 2024, and previously were 64th in the Sunday Times 100 fastest growing private tech companies in 2023.
As a profitable scale-up, Bark is in a unique position to offer the best of both worlds; the excitement and agility of a start up combined with the financial security and backing of a renowned private equity firm, EMK Capital. You'll have ownership, agility, responsibility and stimulation without any of the worry.
About the Role:
We are looking for a dynamic and experienced Product Analytics Manager to join our team here at Bark. You'll be instrumental in bridging our Product and Data teams, ensuring seamless collaboration to drive data-informed decisions. Your role will involve developing analytics strategies, providing actionable insights, tracking product performance, and evaluating experiments to validate product changes by building strong relationships between teams and leveraging advanced analytics tools. You’ll also have the opportunity to manage and mentor our team of highly talented Product Data Analyst.
As our Product Analytics Manager, you’ll have proven experience in Product analytics alongside strong analytical and visualisation skills. Managing our current team of Product Analysts and helping them communicate complex data into clear insights for stakeholders is a crucial part of the role.
You’ll be a key driver of our Product strategy and play a big part in creating exceptional products to help enhance overall user experience.
Responsibilities
Owning product insight to support high quality decision making.
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Ensure best practices in ways of working between the Product & Data teams, including:
Approach to product experimentation from design through to measurement & decision making, including implementation of statistical rigour and outlier removal
Lead the discovery/development of any new tooling and/or skills growth for the product analytics capability
Define & standardise ways of working for product analyst
Ownership of the administration, uptake & usage of product analytics tools (e.g. Heap Analytics)
Escalation point for advanced analytics work from across the Product team
Utilise a view across the Product function to generate new insights, identify new opportunities & help drive the broader Product strategy with Product Managers & Product leadership
Manage squad of embedded product analysts which includes responsibility for hiring, coaching, development, maintaining quality standards, resource allocation, stakeholder management and support
Build a culture of knowledge & skills sharing across the product analyst squad & create opportunities for analysts to unlock additional value through deeper insights
Act as the link between product analytics and the central data team to ensure best practices are employed & executed
Required skills and experience
Ability to mentor junior members of the team as a line manager and a coach
Prior experience working within product teams and with product leadership
High degree of literacy in experimentation methodologies and approaches with track record in managing this through a team of product analysts to ensure best outcomes for the business
Experience with formulating and subsequently proving/disproving hypotheses via robust testing & measurement methodology
Strong sense of commercial & product awareness that enables you to translate data into real outcomes for users & the business
Strong capabilities in stakeholder management, demonstrating the ability to work with and influence other teams as a data expert
Familiarity with Google BigQuery or other data warehouse solutions
Strong knowledge of Google Analytics or other web based analytical tools (e.g. Heap Analytics)
Advanced Google Standard SQL and MySQL or similar relational database language
Experience with Tableau; creating & managing data sources and converting complex insights into a digestible format
Advanced Microsoft Excel/Google Sheets
Perks and Benefits
- Share options in a rapidly growing company whose founders have a proven track record and are Private Equity backed
- Flexible working policy with a central office in London
- Private health insurance run by Bupa
- Personal annual L&D Budgets with £1,000 to spend on your development
- Enhanced Gympass membership for all employees with access to mental health courses and fitness classes
- Fully stocked kitchen and monthly lunches
- Financial advisor
- Cycle to work scheme
- Regular wellness weeks with industry leading talks through to massages in the office
- Being at the forefront of an industry with new and exciting problems to solve
Diversity Statement
At Bark, we are a platform for people, revolutionising the way professionals and individuals connect since 2014. Our culture is defined by excitement, ambition, and a commitment to raising the bar. We value diversity, equity, inclusion, and belonging (DEIB) and are dedicated to embedding these principles into everything we do. We are committed to fostering an inclusive environment where everyone can thrive, and our focus is on hiring, retaining and developing a globally diverse workforce that is passionate about excelling our platform and supporting our customers succeed. Be part of our dynamic team, where bold ideas thrive, and create a future worth shouting about.
- Department
- Data & Insights
- Locations
- London
Product Analytics Manager
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