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Business Data Analyst

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

  • 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
  • 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.



Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Business Data Analyst, Ometria

Join Ometria as a Business Data Analyst and be part of our innovative team that empowers retail marketers to achieve sustainable growth. At Ometria, we believe in harnessing the power of data to create personalized customer experiences that drive loyalty and revenue. In this role, you will collaborate directly with the Chief Customer Officer and the Retail Strategy team, digging deep into data to extract meaningful insights that can shape our strategic decisions and support our ambitious expansion into the US market. You will lead projects such as Architect 360, our AI-driven consultancy solution, where you'll analyze, visualize, and present data to reveal hidden revenue opportunities. Partnering with both client-facing and internal teams, your work will demonstrate Ometria’s position as a leader in customer data platforms. Furthermore, your expertise in Python and SQL will enable you to create scalable tools and manage high-level client requirements, transforming them into actionable insights. Imagine the impact you can have on brands like Sephora and Steve Madden, guiding them through their data transformation journey. You’ll enjoy a vibrant company culture with a commitment to diversity and inclusivity, along with fantastic benefits, including health insurance and 30 days of vacation to recharge. If you’re passionate about data storytelling and driven by results, Ometria is the perfect place for you to thrive.

Frequently Asked Questions (FAQs) for Business Data Analyst Role at Ometria
What are the responsibilities of a Business Data Analyst at Ometria?

As a Business Data Analyst at Ometria, you'll be responsible for data extraction, transformation, analysis, and visualization to support both our Retail Strategy team and customer success initiatives. You'll collaborate with various teams, deliver insights that drive strategic decisions, and ensure that all stakeholders have the information they need. Your expertise will make you a trusted advisor when presenting data-driven recommendations to clients and internal teams alike.

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What qualifications are needed for the Business Data Analyst role at Ometria?

To qualify for the Business Data Analyst role at Ometria, you should have at least 3-4 years of experience in data or business analysis, preferably in a dynamic retail environment. A bachelor's degree in a quantitative field is required, along with knowledge of SQL and Python. The ideal candidate will have strong communication skills, an ability to interpret data commercially, and a proactive approach to uncovering business insights.

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How does a Business Data Analyst contribute to Ometria's success?

At Ometria, a Business Data Analyst plays a pivotal role in analyzing data to inform strategic decisions that drive business growth. By interpreting complex datasets and collaborating with cross-functional teams, you will identify trends and present actionable insights that enhance customer experiences and contribute to our competitiveness in the retail market. Your work directly supports the success of our innovative solutions like Architect 360, helping our clients maximize their revenue potential.

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What technologies does a Business Data Analyst at Ometria use?

A Business Data Analyst at Ometria regularly utilizes technologies such as SQL for data extraction and Python for data analysis, especially libraries like NumPy and Pandas. You will also work with various data visualization tools to effectively communicate your findings. The role requires familiarity with spreadsheets and possibly other data management tools to streamline access to insights and support decision-making.

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What kind of work culture can a Business Data Analyst expect at Ometria?

Ometria fosters a vibrant and inclusive work culture where collaboration and innovation are at the forefront. As a Business Data Analyst, you'll be part of a diverse team that values each member's contribution and encourages a respectful workplace. The company is committed to an equal opportunity environment, celebrating diversity and ensuring that all voices are heard. There’s a continuous focus on professional development, work-life balance, and employee well-being.

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Common Interview Questions for Business Data Analyst
Can you describe your experience with data analysis in a retail context?

Certainly! When answering this question, emphasize your relevant experience, focusing on specific projects where you utilized data analysis to drive measurable success. Discuss your familiarity with retail metrics, how you've extracted insights for campaigns, and any collaborative efforts with marketing or sales teams that led to improved outcomes.

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How do you prioritize multiple data projects at once?

In response to this question, share your approach to prioritization. You might discuss how factors like deadlines, stakeholder urgency, and potential business impact influence your decision-making. Illustrate with examples from your experience where you successfully managed multiple tasks, highlighting your organization and adaptability.

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What tools do you use for data extraction and analysis?

Discuss the tools you are proficient in, such as SQL for data extraction and Python for analysis. You can also mention any data visualization tools you’ve used and explain how you’ve employed these tools to create meaningful insights from raw data. Highlight any specific projects where these tools significantly impacted your analysis.

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How do you ensure your data insights are communicated effectively to stakeholders?

Explain your methods for ensuring clarity and understanding when presenting data insights. Mention how you tailor your communication style based on the audience and focus on providing context around data points. Discuss any experiences where your presentation directly led to informed decision-making by stakeholders.

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Describe a time when your analysis led to a significant business decision.

Provide a concrete example of a project where your data analysis resulted in actionable insights that were implemented. Detail the process you undertook, the analysis performed, and the subsequent decisions made by the team that ultimately benefitted the business.

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How do you approach data quality and validation?

Emphasize the importance of data quality and your thorough approach to ensuring it. Discuss methods you use for validating data, checking for consistency, and identifying discrepancies. You could also mention your proactive strategies for maintaining high-quality data in your analyses and reports.

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What experience do you have working cross-functionally across teams?

Highlight your experience collaborating with teams like Marketing, Sales, and Customer Success. Share specific examples of how cross-team discussions led to data-driven strategies and improved performance. This will demonstrate your interpersonal skills and your understanding of diverse business functions.

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How do you stay updated with data analysis trends and technologies?

Discuss your approach to continuous learning and professional development. Mention resources you follow, such as blogs, online courses, webinars, or communities related to data analysis. You can also talk about any recent trends you’ve implemented in your work that align with current industry best practices.

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Can you explain a complex dataset you've worked with and how you approached it?

Provide a detailed response that outlines the nature of the dataset, the challenges you faced, and how you resolved them. Discuss your analytical process step-by-step, including how you identified key insights and integrated them into your final analysis, showcasing your problem-solving skills.

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What strategies do you use to derive actionable insights from data?

When answering this question, focus on your analytical approach, including how you connect data points with real-world business outcomes. Discuss techniques like segment analysis, trend identification, and the importance of translating data into a narrative that informs decision-making.

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About Ometria: Ometria (www.ometria.com) is a leader in retail and ecommerce marketing, providing a SaaS solution which helps multichannel and online retailers use data to better understand their customers, and send personalised automated messages...

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Full-time, hybrid
DATE POSTED
March 25, 2025

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