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Data Analytics Manager

As Data Analytics Manager, you will take ownership of the day-to-day operations of our in-house Analytics team, enabling the commercial success of our growing range of products. You will focus on enabling the business to succeed by ensuring the quality and accessibility of data, whilst providing in-depth analysis on multiple projects. Mous’s mission is to become a household brand in tech accessories, so we're looking for an exceptional individual with an entrepreneurial mindset that can drive our brand forward. If you want to have a tangible impact on the business bottom line, have the autonomy to make key decisions and get first-hand experience building a brand into a household name, you should apply for this role. 


📱 About Us 


We are Mous. (Pronounced mouse, not moose.) Our vision is for everyone to live better with technology. With an in-house team of expert product engineers and designers, we’re constantly evolving in a rapidly changing market. We make high-performance tech accessories and innovative product ecosystems, crafted with purpose, and demonstrate their value through impactful content. We believe in show, not tell, so we produce extreme content to prove what our products can do, including throwing phones from helicopters, cranes and even the roof at Google HQ in California. We started by designing a phone case that focused on high performance, optimal functionality and considered style. We have since expanded our product range to include ecosystems of MagSafe® compatible magnetic accessories, mechanical mounts for content creation and bikes, ultra-fast wireless chargers and backpacks that all adhere to these principles. Our products are for risk-takers and thrill-seekers as well as tech-lovers and city dwellers. We create solutions to the problems that come from busy lives and outlandish adventures. No matter what your everyday life looks like you can trust our products to expand the experiences you have with the tech you use the most. 


👋 About You


We are seeking a highly skilled Data Analytics Manager to join our team. Reporting to Will Ward, our Senior Growth Manager, you will initially manage a team of two, supporting them in prioritising their work across the business. We are looking for someone proactive and capable of leading the day-to-day operations of our analytics team while delivering analytical and actionable insights that drive high-value projects across the organisation. In addition to overseeing the day-to-day operations of the team, this person will play a pivotal role in driving our journey towards becoming a data-mature organisation. Their responsibilities will include elevating the performance of our Analytics team, establishing robust and efficient processes, ensuring comprehensive and up-to-date documentation, leveraging the most suitable tech stack, and fostering the growth of the team in alignment with Mous's expansion. This role requires strong commercial and strategic thinking, excellent communication and organisational skills and the ability to lead and collaborate with cross-functional teams.


Here’s what you’ll get up to in your first three months with us:
  • Develop a strong understanding of the business strategy and plan and how your role will drive this forward
  • Gain an understanding of the commercial levers that the team can pull, and how we currently utilise them
  • Complete a thorough deep-dive into each of our databases, systems, and integrations, getting to grips with the platforms needed to excel in your role, such as Panoply, our managed database solution.
  • Specifically familiarise yourself with our core reports and data sources.
  • Develop and maintain a deep understanding of Mous’s business departments, their processes and dynamics, in order to facilitate data-based solutions.
  • Take on management of our existing data team based in Lahore, the data resource request process and prioritisation of projects.


Sounds good? This is what you’ll work on in six months to a year:
  • Own our Data strategy as a business, ensuring the business is moving in a data-driven direction.
  • Conduct and oversee and entire audit on our whole Data tech stack, accounting for growth plans for the business.
  • Project manage a Database migration from our current Redshift database to a Google BigQuery database.
  • Produce documentation on our database, tables, queries and dashboards to ensureGrow our Analytics team, to help provide analytical support to our entire business.
  • Ensure each teams analytical needs are being met and all suitable reporting is available.
  • Work closely with our in-house Growth team to assist on data heavy projects, to deliver large commercial impact, e.g. MMM, Marginal CPA


It's always been an exciting time to join Mous, but now so more than ever. Here's what we have in mind:
  • Ideally, you'll have a 2:1 degree or higher under your belt (although this isn't a prerequisite)
  • At least 2-years experience in a relevant Data role, specifically one that has involved SQL/Querying and Business Intelligence Reporting.
  • Proven analytical and numerical skills to build and evaluate hypotheses using data, as well as identifying trends and insights
  • A demonstrable commercial understanding with the ability to value and ruthlessly prioritise work
  • Ability to own processes, identifying areas of improvement with ways of working and implementing these
  • Ability to manage and develop individuals (although this role will initially not have any direct reports)
  • Strong communication and interpersonal skills to manage stakeholders
  • Strong storytelling and presentation skills to effectively communicate plans and objectives
  • High levels of attention to detail
  • Reliable, organised with excellent project management abilities
  • An entrepreneurial individual with a proactive and innovative mindset to identify opportunities and drive continuous improvement
  • Agile and embraces change and new opportunitiesExceptional problem-solving abilities to overcome challenges in a dynamic market environment
  • Enthusiasm for the Mous brand and a commitment to preserving its authenticity
  • Tenacity and resilience to thrive in a fast-paced and dynamic working environment


We’re not asking for the world (we promise!), but here are some nice to haves:
  • Database management, specifically within Redshift and BigQuery
  • Python
  • R


🎉 About Our Offer

 

We have a hybrid approach to working at Mous so our team can have flexibility during the week, and we can retain the collaborative and vibrant Mous culture that people love. We expect people to come into the office at least two days a week but some teams opt for more as it’s beneficial for their workflow. Our office is in Hoxton and there are regular on-site activities (e.g. happy hours, painting classes, yoga on the roof etc.).

 

Here’s a summary of the benefits of working at Mous:


• Opportunity to radically grow and develop through new experiences. Dream big, work hard, and make things happen!

• Multi-functional teams of passionate, supportive and inspiring people with flat hierarchies

• A competitive starting salary reflective of your experience and value

• Flexible hybrid working

• Regular team and business socials

• Charlie HR perks package including discounts on hundreds of high street brands and services

• 25 days holiday, plus bank holidays - if you wish to use your bank holiday days (8 days) to celebrate another religious holiday and work the normal UK bank holiday days, let's get it arranged!

• Cycle to Work Scheme

• Employee Pension Scheme

• Employee Assistance Programme

• 30% discount for F&F on all Mous products

• 1-month paid leave after 5-years of service


🐭 About Our Values


We have established 3 core values, which inform and enhance the way we work. We expect anyone joining the business to embrace these values as essential parts of Mous life, and we’re looking for people who will build upon them in fresh and inspiring ways.


• Get Results

By comprehending our business plan, each person can ensure that they are taking accountability for their contribution towards it. We value strategic prioritisation, ensuring that everyone is enabled to deliver their best work. We also champion traits such as innovation, grit and resilience – we think differently and aren’t afraid to fail.


• Work Together

We value collaboration highly, recognising that there’s a lot to be learned from each other, and are always prepared to listen. We encourage regular peer feedback, readily praising great work as well as challenging one another candidly. We like to celebrate what makes us both unique and united, committing to regular IDEA initiatives and finding opportunities to support our local communities.


• Enjoy The Ride

We invite everyone at Mous to grab new opportunities and find ways to make each role their own. Things can change fast in an unpredictable industry like ours, so we always want to stay agile. And of course we don’t just work hard – we also like to let our hair down and enjoy the more social aspects of being part of our brilliant team!


🌈 About Our Commitment

 

Mous is an equal opportunity employer, and as a brand, we value authenticity and integrity. We strive to be different and know that if we are to create the most innovative products and deliver the best customer experience, we need to build a diverse team of individuals who can bring a variety of skills, experiences, and perspectives to the table. No matter your age, gender, sexual orientation, ethnicity, religion, or physical ability, at Mous, your individuality is celebrated.

 

As a D2C business and heavy user of plastics, we understand (and take very seriously) our responsibility to the planet. To stay true to our word, we've placed "Planet" firmly in our key business objectives and have formed a dedicated team, alongside our cofounders, to build an ESG plan we're proud of. Ultimately, we want to create a better world through our actions and we're doing so across our products, how we transport from A to B, and socially.

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What You Should Know About Data Analytics Manager, Mous

As a Data Analytics Manager at Mous in London, you'll become the heartbeat of our in-house Analytics team, driving the commercial success of our exciting tech accessories. Imagine being at the forefront, ensuring data is not just accessible, but a powerhouse that fuels our growth. You'll dig deep into various projects, providing insightful analysis that helps the business thrive. At Mous, we aspire to become a household brand in tech accessories, and we need someone like you—someone with an entrepreneurial flair and a passion for making an impact. You'll have the autonomy to make key decisions and help shape the future of our brand. If you enjoy transforming data into actionable insights and working collaboratively to elevate a skilled team, this is your chance to shine. You'll report to Will Ward, our Senior Growth Manager, overseeing daily operations while motivating a team that you can grow and refine. With your strategic thinking, excellent communication skills, and love for innovation, you'll help us become a more data-savvy organization, performing audits of our tech stack, managing databases, and steering projects that generate real commercial value. Come join us and be part of a vibrant culture that celebrates individuality and diversity, all while pushing the boundaries of what's possible in tech accessories. If you’re ready to take on a high-impact role and fuel your career in a dynamic environment, Mous is the place for you!

Frequently Asked Questions (FAQs) for Data Analytics Manager Role at Mous
What are the key responsibilities of a Data Analytics Manager at Mous?

As a Data Analytics Manager at Mous, you'll oversee the Analytics team’s operations, ensuring data quality and accessibility while driving insightful analysis across various projects. Your role will involve managing a team, shaping data strategies, and collaborating with other departments to ensure analytical needs are met, thus playing a crucial part in enabling the company's growth.

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What qualifications do I need to apply for the Data Analytics Manager position at Mous?

To apply for the Data Analytics Manager role at Mous, we're looking for candidates with at least a 2:1 degree (though not essential), coupled with a minimum of two years in a relevant data role. Proficiency in SQL and business intelligence reporting, alongside strong analytical skills, is key for this position.

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How does the role of Data Analytics Manager at Mous contribute to the company’s growth?

The Data Analytics Manager is instrumental in strategizing data-driven decisions, which directly impacts Mous’s growth trajectory. By providing actionable insights and fostering a data-centric culture, you will guide the company towards achieving enhanced productivity and commercial success in its product offerings.

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What technical skills are preferred for the Data Analytics Manager role at Mous?

For the Data Analytics Manager position at Mous, familiarity with database management tools like Redshift and BigQuery is preferred. Additionally, knowledge in programming languages such as Python and R can be advantageous, as these skills will assist you in analyzing large datasets and automating reporting processes.

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What kind of work culture can I expect at Mous as a Data Analytics Manager?

Mous fosters a collaborative and vibrant work culture, promoting flexibility and teamwork. As a Data Analytics Manager, you will thrive in an environment that celebrates diversity, encourages creativity, and offers various social activities, all while focusing on professional growth and contribution towards mutual success.

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Common Interview Questions for Data Analytics Manager
Can you describe your experience managing an analytics team?

In your response, focus on your leadership style, how you prioritize tasks, and ways you've successfully driven your team's productivity. Highlight specific examples of projects you've managed and the outcomes achieved, emphasizing your ability to foster collaboration and growth within your team.

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How do you ensure the quality of the data used for analysis?

When answering this question, discuss the importance of data governance, validation processes you implement, and any tools or methods you use to clean and maintain data accuracy. Provide specific examples where your approach has improved data quality in previous roles.

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What metrics do you track to measure the success of an analytical project?

Focus on defining clear KPIs related to project goals. Discuss how you align metrics with strategic objectives, and provide examples of metrics you've tracked in the past. Emphasize your analytical skills in interpreting these metrics to guide decision-making.

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Can you give an example of how you used data to influence a business decision?

Highlight a specific instance where your data analysis led to a significant business decision. Describe the context, your analytical approach, the insights gathered, and how those insights informed the decision-making process. Make sure to emphasize the business impact.

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How do you stay updated with the latest trends in data analytics?

Discuss your commitment to continuous learning through attending workshops, pursuing relevant certifications, engaging with online communities, or following industry leaders. Perhaps share specific resources, blogs, or forums you find particularly valuable.

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Describe a time when you had to present complex data to non-technical stakeholders.

Explain your approach to translating complex data insights into understandable concepts for your audience. Share how you tailored your presentation style and content to meet the needs of non-technical stakeholders, focusing on clarity and impactful storytelling.

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What experience do you have with SQL and business intelligence tools?

Detail your proficiency in SQL, including types of database queries and analyses you've conducted. Mention any business intelligence tools you've used, like Tableau or Power BI, and provide examples of how you've utilized them to create dashboards or reports for stakeholders.

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How do you manage competing priorities within your team?

Describe your process for assessing and prioritizing tasks based on urgency and overall business impact. Give examples of scenarios where you successfully balanced conflicting demands, ensuring that your team remained aligned and productive.

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What strategies do you employ for effective stakeholder communication?

Discuss your approach to understanding stakeholder needs and maintaining clear, continuous communication. Highlight the importance of regular updates, feedback loops, and how you customize your communication style based on stakeholder requirements to foster strong relationships.

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How would you define the role of data in driving business strategy?

Articulate your belief that data is a vital asset for informed decision-making and strategy formulation. Provide examples of how analytical insights can uncover opportunities for growth, guide marketing strategies, or optimize operations, thus reinforcing the importance of data within Mous's objectives.

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Full-time, hybrid
DATE POSTED
January 9, 2025

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