Join to apply for the Business Data Analyst role at Ometria
Join to apply for the Business Data Analyst role at Ometria
Ometria is a Customer Data and Experience Platform built for retail marketers to be the fastest route to sustainable growth. Ometria helps marketers plan and launch their most profitable campaigns twice as fast, increasing their customer loyalty and CRM revenue with personalised marketing messages all throughout the customer journey.
Our platform combines the data unification and customer insight of a CDP with an experience platform, letting retail marketers easily and efficiently create experiences their customers love across email, mobile, on-site, social, direct mail and more.
Ometria is trusted by some of the fastest-growing retail brands in the world such as Brooklinen, Davines, Steve Madden, and Sephora.
We have a team of over 120 Ometrians based in North America and Europe. We have raised $75m from leading venture capital funds across the world such as Infravia Capital Partners, Octopus Ventures, Summit Action, Sonae IM and many others.
The role
We are looking for a Business Data Analyst to inform and support key stakeholders in interpreting and analysing data, identifying trends, and generating recommendations to guide strategic decisions. In this role, you will play a pivotal part of our continued success in the UK but also support our US expansion plans and help us win there.
As a Business Data Analyst, you will work in the Retail Strategy team, reporting to the Chief Customer Officer, and will collaborate with other client-facing teams such as Customer Success, Marketing, Sales, and with the senior management team to deliver data-driven insights.
You’ll play a key role in ensuring that our clients and prospects rightly perceive Ometria as the foremost data-driven Customer Data and Experience Platform platform.
Key outcomes
* Lead the workstreams involving data extraction, transformation, analysis, visualisation for Ometria’s Architect 360 offering - our innovative, AI-driven consultancy solution, designed to uncover hidden revenue opportunities within a customer’s data - ensuring that both the retail intelligence team and the customer success team can deliver Architect 360 effectively, and contributing to this offering’s continuous improvement
* Partner with our client-facing teams to extract, transform and present data on specific client projects to demonstrate that Ometria is the foremost retail-focused CDXP, prioritising the activities based on client urgency, importance and impact
* Partner with internal-facing teams to extract insights that can drive decisions on our product or how we serve our clients
* Collaborate with the product & engineering team to ensure our data architecture keeps improving to enable the level of analysis Ometria’s clients need
Key Responsibilities
* Be the subject matter expert when it comes to data in the Ometria platform: what is available, what it means, how to access and analyse it, potential constraints or limitations
* Partner with the Retail Strategy team to design Ometria Architect 360 deliverables, and create and manage tools to enable the team to access the relevant data in a scalable manner
* Translate high-level client requirements into specific data projects, and translate the outcomes and insights back into commercially meaningful language
* Lead the provision of ad hoc data and insights to various parts of the business, utilising suitable tools such as python, SQL, spreadsheets, etc.
* Represent the data analysis function (if required) in communication with clients, in collaboration with the Retail Strategy, Customer Success, Sales and Marketing teams.
* Collaborate with the marketing team to identify data-driven stories within our datasets that can be turned into engaging content.
Requirements
Requirements
* You have at least 3-4 years of experience as a business analyst or data analyst in a dynamic, fast-paced environment; retail focus preferred
* You have experience extracting data from databases using SQL and analysing data using Python (NumPy, Pandas, etc.)
* You have a bachelor degree in a quantitative subject
* You are capable of acting as a trusted advisor when presenting data and insights to key stakeholders in multiple departments, especially those that are client-facing
* You are able to see the bigger picture when looking at data and interpreting it from a commercial and pragmatic, result-oriented perspective
* You have a proactive, inquisitive mindset when it comes to using data to identify business opportunities and insights
* You are comfortable working with multiple key stakeholders across different departments within the business (e.g. Customer Success, Marketing, Sales, etc.), ensuring that they are up-to-date and at all times have all the information they need to manage their external stakeholders
* You are able to communicate in a clear, concise and commercially-driven manner.
* You can manage multiple priorities at the same time, and are comfortable switching to the activity that matters the most as priorities change
* You are organised, disciplined and consistent in the way you manage your time, tools, data, insights, and outputs
* You consider different approaches to solving a problem, and pick the one that is most pragmatic and effective to achieve the desired business outcomes
Benefits
* 30 days holiday + 1 day on your birthday (plus bank holidays)
* Health Insurance (Bupa)
* Mental Health Support (Spill, Calm)
* Cycle to work scheme
* Enhanced Financial Benefits (Salary Sacrifice Pension, DIS, Income Protection)
The amazing people of Ometria are the core of our business. We believe in making it
awesome to be here for all Ometrians and place a continued focus on making Ometria
an inclusive, respectful and diverse environment.
We're an equal opportunity employer and all applicants will be considered for
employment without attention to ethnicity, age, religion, sexual orientation, gender
identity, family or parental status, national origin, veteran, neurodiversity status or
disability status.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Technology, Information and Internet
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