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Amazon Marketplace Data Analyst

Title:  Amazon Marketplace Data Analyst

Location: UK Remote or Hybrid

Position: Perm

About Petlab Co

PetLab Co. is the world’s fastest-growing pet supplement business. Launching in 2018, we successfully achieved a 9-figure revenue in 2023 without any external funding. We have a loyal community of loving pet parents and over 3 million happy dogs whose lives have been positively impacted by our innovative products. Our team is vibrant, fast-moving, and customer-driven where high-performers are valued and rewarded. And it is the ideal place for an ambitious, hardworking, animal lover who wants to progress their career rapidly.

A Day In The Life…

Reporting to the Head of Marketplaces and working closely with the Head of Data, you will be joining a small but rapidly growing team of talented data professionals. In this role, you will take the lead in analyzing and optimizing PetLab Co’s Amazon activities. By working with large data sets, you will play a key role in driving data-informed decisions that enhance performance on the Amazon marketplace across multiple Geo’s.

As this is a newly created position, you’ll have considerable autonomy and the opportunity to make a significant impact on the company’s approach to data and decision-making

We move and think fast so it’s important that you are able to thrive in a fast-paced environment and are happy to roll up your sleeves to do whatever it takes to support the team in every way possible. If that sounds exciting - we would love you to join our pack!

 

Our tech stack:

  • Engineering –DBT/Fivetran & Google Cloud
  • Data Warehouse – Big Query
  • Visualisation – Power BI
  • Languages- SQL/Python

Your day to day will look a bit like this:

  • Lead the development of Amazon analytics and associated data strategies
  • Identify, analyse, and interpret trends or patterns in complex data sets.
  • Develop and maintain SQL scripts for data analysis and reporting
  • Comprehend and utilise data points from the various Amazon APIs and Amazon Marketing Cloud (AMC)
  • Use Python for data manipulation, cleaning, and visualization
  • Collaborate with Product and Engineering teams to develop and implement new data-driven products and features
  • Provide regular reports and insights to key stakeholders
  • Analyse and identify opportunities for optimizing advertising spend for improving efficiency and performance
  • Create dashboards to allow colleagues to self-serve

 

What You Need…

  • Previous experience utilising Amazon data, specifically Amazon Seller Central or Amazon sp-api or Amazon seller (Not AWS)
  • Very strong expertise in SQL (There will be a live SQL test)
  • Experience as a Data analyst in a DTC or a high growth e-commerce environment
  • Experience taking the lead on projects
  • Someone who is detail-oriented, precise with a proactive attitude
  • Strong analytical and problem-solving skills
  • Excellent ability to communicate complex data concepts to non-technical stakeholders and to be able to engage with Executives/Founders
  • Ability to collaborate cross-functionally
  • Experience in the e-commerce industry would be beneficial

  • Private Health Care through Vitality
  • Generous Annual Leave - 28 days + public and bank holidays
  • Flexible Working Hours – We focus on results and trust people to manage their time, whether working from home, while travelling, or in the office!
  • Help@Hand – Employee Assistance Programme
  • Royal London Pension Scheme – We offer a workplace pension scheme with one of the UK’s leading providers of group pensions. With an employer contribution of 5%!
  • Enhanced Maternity / Paternity / Adoption Leave – because time with new family members is important!
  • Puppy Therapy – working in partnership with Paws in Work to provide a boost of oxytocin twice a year.
  • Generous Learning and development budget – We always want you to keep learning.
  • Free breakfast, fruits and snacks – refuel and revitalise with free munchies in the office.
  • Working Environment – dogs are welcome!
  • Life Assurance – In the event of your death, while employed by us, your chosen beneficiaries will be provided with a tax-free lump sum equivalent of four times your basic salary.
  • Gympass – All in one subscription bringing you the largest selection of gyms, studios and apps.
  • Electric Vehicle Scheme – Employees sacrifice salary in return for a new electric car, typically saving 30-40% of costs through income and tax and national insurance.
  • Give Back Day – An extra day off in the year to volunteer plus a £50 contribution to your chosen charity.
  • Health Cash Benefit – We offer the bronze package with enables you to claim a certain amount of cashback when you pay for something that is health related, i.e dental.
PetLab Co. Glassdoor Company Review
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CEO of PetLab Co.
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Chris Masanto
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Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Amazon Marketplace Data Analyst, PetLab Co.

At PetLab Co., we're on the hunt for a talented Amazon Marketplace Data Analyst who is passionate about pets and data alike! As a team member in this UK remote or hybrid position, you'll report directly to the Head of Marketplaces and collaborate closely with the Head of Data within our vibrant and fast-paced environment. This newly crafted role presents a unique opportunity for you to take charge of analyzing and maximizing our Amazon activities, ultimately driving data-driven decisions that enhance our marketplace performance across various geographical locations. You'll be diving deep into large datasets to identify trends, patterns, and opportunities that can significantly impact company strategy. From developing SQL scripts and maintaining powerful dashboards in Power BI to utilizing APIs and marketing cloud tools, your day-to-day will be engaging and impactful. If you thrive in a dynamic setting where your analytical skills and proactive mindset can shine, plus you have a love for all things pets, then you might just be the perfect fit for our growing team at PetLab Co.! Join us as we continue to innovate and make a positive difference for pet owners around the globe!

Frequently Asked Questions (FAQs) for Amazon Marketplace Data Analyst Role at PetLab Co.
What are the responsibilities of an Amazon Marketplace Data Analyst at PetLab Co.?

As an Amazon Marketplace Data Analyst at PetLab Co., your primary responsibility will be to lead the development of analytics for our Amazon activities. This includes analyzing complex data sets to identify trends, optimizing advertising spend, and providing insightful reports to stakeholders. You'll use your expertise in SQL and Python for data manipulation, ensuring our approach to the Amazon marketplace is informed and effective.

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What skills are required for the Amazon Marketplace Data Analyst position at PetLab Co.?

To excel as an Amazon Marketplace Data Analyst at PetLab Co., you should possess strong expertise in SQL, experience with Amazon Seller Central, and a proactive attitude towards problem-solving. It’s also essential to have the ability to communicate complex data concepts clearly to non-technical stakeholders and collaborate with cross-functional teams.

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What does a typical day look like for an Amazon Marketplace Data Analyst at PetLab Co.?

A typical day as an Amazon Marketplace Data Analyst at PetLab Co. involves analyzing large datasets, developing SQL scripts and dashboards, and collaborating with product and engineering teams. You'll interpret data trends, optimize advertising efforts, and report insights that drive strategic business decisions.

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What kind of experience is beneficial for the Amazon Marketplace Data Analyst role at PetLab Co.?

Experience as a Data Analyst in a fast-paced e-commerce environment is incredibly beneficial for the Amazon Marketplace Data Analyst role at PetLab Co. Familiarity with Amazon data and previous project leadership is ideal. Prior work with data analytics tools and a detail-oriented approach will also set you apart.

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Will I have the opportunity to work remotely as an Amazon Marketplace Data Analyst at PetLab Co.?

Yes! The Amazon Marketplace Data Analyst position at PetLab Co. offers the flexibility of remote or hybrid working options, allowing you to balance your work life while being a part of our fast-growing team.

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What technologies will I use as an Amazon Marketplace Data Analyst at PetLab Co.?

In your role as an Amazon Marketplace Data Analyst at PetLab Co., you'll have the opportunity to work with a variety of technologies, including DBT, Fivetran, Google Cloud, Big Query, SQL, and Python. Familiarity with visualization tools like Power BI will also be important.

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What benefits does PetLab Co. offer to Amazon Marketplace Data Analysts?

As an Amazon Marketplace Data Analyst at PetLab Co., you will enjoy a range of benefits including private health care, 28 days of annual leave, flexible working hours, employee assistance programs, social events like puppy therapy, and a commitment to your ongoing learning and development.

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Common Interview Questions for Amazon Marketplace Data Analyst
What experience do you have with Amazon Seller Central as an Amazon Marketplace Data Analyst?

In your answer, highlight specific projects where you utilized Amazon Seller Central data to analyze performance metrics, optimize listings, or drive sales. Discuss any tools or methodologies you employed and the outcomes of those efforts.

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Can you describe your experience with SQL and how it relates to your role as an Amazon Marketplace Data Analyst?

Focus on showcasing your strong expertise in SQL by detailing previous projects where you wrote complex queries to extract insights or enhance reporting. Emphasize how your SQL skills have directly contributed to data-driven decisions.

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How do you interpret trends and patterns from complex datasets?

Discuss your analytical process, beginning with data cleaning and preparation, followed by exploring visualizations to identify trends. Provide an example where your insights led to actionable outcomes for a company's strategy.

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What strategies do you use to communicate complex data findings to non-technical stakeholders?

Outline your approach to simplifying complex data into relatable visualizations and stories. Include techniques you employ, such as storytelling with data or using analogies to bridge knowledge gaps with non-technical audiences.

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Can you give an example of a successful project you led as a Data Analyst?

Describe a specific project that demonstrates your leadership skills, emphasizing your role, the challenges faced, your methodology, and the ultimate impact of your work on the team or company's objectives.

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What methods do you use for forecasting sales based on historical data?

Discuss your experience with different forecasting techniques such as time series analysis, regression analysis, or using machine learning algorithms. Provide examples of how these methods helped to achieve accurate forecasts.

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How do you approach data cleaning and manipulation using Python?

Explain your typical workflow for data cleaning in Python, including libraries like Pandas or NumPy, and how you ensure the datasets are ready for analysis. Share a brief case where your efforts improved data quality.

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Why do you want to work as an Amazon Marketplace Data Analyst at PetLab Co.?

This is an opportunity to express your passion for pets and data. Share how PetLab Co.’s mission resonates with you and how the role aligns with your career ambitions in data analysis within a dynamic e-commerce environment.

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How would you prioritize multiple projects as an Amazon Marketplace Data Analyst?

Discuss your approach to prioritization based on project impact, urgency, and stakeholder needs. Include any systems or methods you use, such as Kanban boards, project timelines, or stakeholder consultations.

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What excites you about the e-commerce landscape, particularly regarding Amazon sales?

Showcase your enthusiasm for the ever-evolving e-commerce landscape and share specific examples of trends or innovations in Amazon sales that captivate you. Your answer can reflect how you anticipate leveraging these changes in the role.

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Full-time, remote
DATE POSTED
November 30, 2024

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