Data Insights Engineering Manager
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
As aData Insights Engineering Manager you will lead a team of Data Analysts / Senior Data Analysts (and potentially Analytics Engineers) who sit at the intersection of product operations and data. Your teams mission is todrive datainformed decisions and actionable insightsacross Mews with a particular focus on product tribes and crossfunctional to a Director of Data you will be responsible for thedelivery impact and healthof 12 crossfunctional data teams in the Data tribe. You will partner closely with Product Engineering and business stakeholders to ensure we are solving the most important problems with highquality insights at the right is apeopleleadershiprole first: you wont be expected to write production code regularly but you will need a solid data and engineering background to challenge technical decisions review solution design and help your team deliver highquality analytical products and tooling.
Your mission should you choose to accept it:
- Lead and grow a Data Insights team
- Lead and coach 510 data professionals (e.g. Data Analysts Senior Data Analysts Analytics Engineers) within the Data Insights area ensuring they are set up for success and have clear development paths aligned with our career frameworks.
- Create an environment of psychological safety high performance and ownership where people are empowered to take initiative and learn.Own delivery and impact of insights work
- Take endtoend responsibility for the planning and delivery of your teams roadmap ensuring work is sliced for iterative delivery and focused on highimpact outcomes for product and business stakeholders.
- Partner with Product Managers Engineering Managers and business leaders to translate strategy and problems into clear analytical questions projects and dashboards that drive decisions (not just reports).
- Elevate analytics quality and standards
- Ensure your team buildstrustworthy welldocumented and selfserveanalytics assets (dashboards reporting semantic models) using our modern data stack (e.g. Databricks dbt Looker GoodData Azure).
- Champion data quality governance and consistency of metrics across domains; work closely with Data Engineering and Analytics Engineering on contracts lineage and testing.
- Partner deeply with product & business
- Embed your team in one or more product tribes (e.g. Guest Experience / FinTech) as the analytical partner: defining KPIs running deepdive analyses designing experiments and shaping product strategy with data.
- Ensure your team routinely engages with stakeholders understands customer and user journeys and uses both qualitative and quantitative insights to influence roadmaps.
- Build and improve ways of working
- Continuously improve how the team works: estimation prioritisation incident/bug handling stakeholder communication and documentation; align with broader Product & Engineering practices.
- Collaborate with other Data and R&D leaders to standardise best practices for discovery delivery and measurement of impact of data products and insights.
Youll be a great fit if you bring a few of the below with you:
- 35 years of experience in a datafocused role (e.g. Data Analyst Analytics Engineer Data Scientist) and 2 years managing or leading data teams (formal or informal people leadership).
- Proven experience leading multidisciplinary or crossfunctional teams coaching individuals at different levels and running performance and development cycles using a career framework or rubric.
- Solid handson experience with analytics in a modern data stack: SQL as a must plus familiarity with tools such as Python / PySpark dbt BI / visualization tools (e.g. Looker GoodData) and cloud data platforms (e.g. Azure Databricks).
- Ability to review analytical approaches query logic dashboards and data models for quality performance and correctness and to challenge your team to maintain high standards
- Experience working closely with product teams and/or business stakeholders turning vague problems into sharp analytical questions and actionable recommendations.
- Comfortable makingdatainformed decisions and helping others weigh tradeoffs between speed complexity and value.
- Excellent written and verbal communication skills; able to explain complex analytical concepts to nontechnical stakeholders and tell clear stories with data.
- Strong collaboration skills; you enjoy building relationships across Product Engineering Finance Operations and other teams to align on goals and deliver results.
- Eager to help us change the world of hospitality with better data and better decisions.
- Curious pragmatic resilient and comfortable operating in a fastmoving highgrowth environment where not everything is defined yet.
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Cloud-native, Mews PMS is an innovative hospitality management system that enables automation to boost revenue and empowers remarkable guest experiences.
