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Senior Data Analyst

The role


We are looking to hire a Senior Data Analyst to join our Data team based in New York.


Salary range - $70,000 - $76,000



Working at WGSN

Together, we create tomorrow


A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow. 


WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you. 



Role overview 


We are looking for a strategic, intelligent and commercial individual to provide world class data analysis for our fashion reports. The Senior Data Analyst must demonstrate an understanding in fashion and data analysis which they can combine to enhance and underpin the work that the Content team delivers across fashion. The successful candidate will not only work with our content teams to analyse data and aid in the generation of breakthrough insight and trends for the different products we produce, but also work with our data science team on our forecasting tool Trendcurve AI.



The team


The Decision Science team spans across the UK, US, Singapore, and Spain. We collaborate across all time zones to provide global data insights across Fashion, Beauty, Sports & Outdoor and other verticals.  


Key accountabilities
  • Provide high quality and accurate analysis for WGSN‘s Fashion content
  • Provide editors with insight on past and future trends, and any growth opportunities.
  • Conduct primary and secondary research across a variety of quant data sets and deliver analysis that provides actionable recommendations that will benefit the client’s future business.
  • Tackle the challenge of extracting business intelligence from large data sets. Ability to see beyond the numbers.
  • Proactively suggest ways to visualize complex data sets, generating charts/tables that give insightful views of key business issues and opportunities.
  • Able to collaborate with data teams in region and across territories to ensure consistency of data analysis across the company.
  • Is a strong participant and contributor to the creation, sharing and learning culture to provide inspiration and relevant information for the benefit of the global Editorial team’s deliverables.
  • Is accountable for personal objectives and designated KPIs by working within editorial guidelines to achieve objectives and meet deadlines.
  • Is confident to take an active and vocal role in team meetings, putting forward new ideas and suggestions for data integration.
  • Responsibility for projects being delivered in brief, in a relevant, insightful and commercially
  • Effectively communicate data insights and findings to stakeholders with varying levels of data expertise, promoting education and understanding across diverse audiences
  • Act as a bridge between data science and editorial teams

This list is not exhaustive and there may be other activities you are required to deliver.


Skills, experience & qualifications required
  • An ability to explain data to people who don’t get it is a must
  • Experience in fashion retail/merchandising/buying/e-commerce is a strong advantage
  • At least 3-4 years of experience in a data analyst role
  • Creative, commercial, resourceful, innovative & able to cope under pressure
  • Ability to analyse large amounts of data and pinpoint trends that will impact the market
  • A person that gets things done and a problem solver
  • An analytical mind, with the ability to distinguish between what is important and what is not, making the complex simple
  • Curious, flexible and a strategic thinker with gravitas that can inspire their clients, peers and more junior colleagues.
  • Strong communication and organisational skills
  • Excellent interpersonal skills comfortable to tackle work within a global team
Technical Experience with:
  • Required - Databases (one or multiple): Snowflake, BigQuery, etc.
  • Ideal - Languages (one or multiple): SQL (must), Python (beneficial), R, Java, etc.
  • Visualisation (one or multiple): Tableau, Looker, Power BI, etc.
  • Familiar with general computer use including Microsoft word, excel, PowerPoint and Outlook
  • Beneficial to have experience with Statistical modelling / forecasting (Regression, DOE, AB Testing), Databricks & Sprint Planning/Development using JIRA


What we offer


Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including:  


 - Paid Time Off – 15 days of vacation per year with an additional day for each year of service up to 20 days.  WGSN also observes the 12 Federal holidays.  We also offer 6 weeks of paid Parental Leave. 

- 401(k) Retirement Savings Plan – allows employees to save and invest for their own retirement on a tax deferred basis. WGSN matches 50% of the first 6% contributed by employees.   

- Medical, Dental and Vision plans through Aetna

- Life Insurance, AD&D, Short and Long-Term Disability - all eligible employees receive coverage at no cost

- Mental Health WGSN provides many ways for employees to access mental health care including an Employee Assistance Program and inpatient, outpatient and virtual care if enrolled in an Aetna medical plan.



More about WGSN


WGSN is the global authority on consumer trend forecasting.


We help brands around the world create the right products at the right time for tomorrow’s consumer.



Our values 


We Are Everywhere

The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere.


We Are Future Focused

We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow.


We Are Rigorous

We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do.



Our culture 


An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with.



Inclusive workforce 


We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030.  


Recognising great performance is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people.  


We have a truly flexible working environment with a wide range of flexible, hybrid and agile-working arrangements. Conversations about flexible working have always been - and will continue to be - actively encouraged here. 


We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you.

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CEO of WGSN
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Carla Buzasi
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Average salary estimate

$73000 / YEARLY (est.)
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$70000K
$76000K

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 Senior Data Analyst, WGSN

Are you a data-driven storyteller with a passion for fashion? WGSN is on the lookout for a Senior Data Analyst to join our vibrant Data team in New York. In this exciting role, you'll dive deep into data analytics, helping our content team generate compelling insights and trends that shape the future of fashion. We're not just about numbers; we're about transforming that data into actionable recommendations that empower our clients. Your analytical prowess will help illuminate past and future trends, driving growth opportunities for our clients. Collaborating with our talented teams across various regions, including the US, UK, Singapore, and Spain, you'll ensure a seamless fusion of data science and editorial excellence. With a salary range of $70,000 to $76,000, WGSN offers a dynamic environment where your creativity and strategic thinking can shine. We're looking for someone with at least 3-4 years of experience who can visualize complex data while making it accessible to all team members. If you thrive in a fast-paced setting and are excited about the intersection of data and design, then this position might be the perfect fit for you. Join us as we work to forecast future trends for the fashion industry and create tomorrow's successes today!

Frequently Asked Questions (FAQs) for Senior Data Analyst Role at WGSN
What are the main responsibilities of a Senior Data Analyst at WGSN?

As a Senior Data Analyst at WGSN, your main responsibilities include providing high-quality and accurate analysis for our Fashion content, collaborating with content teams, and conducting thorough research across various data sets to deliver actionable recommendations. You'll work closely with data science teams to enhance our forecasting tools while effectively communicating insights to stakeholders.

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What qualifications do I need to apply for the Senior Data Analyst position at WGSN?

To apply for the Senior Data Analyst position at WGSN, candidates typically need at least 3-4 years of experience in a data analyst role, along with a strong analytical mind and the ability to explain complex data simply. Familiarity with fashion retail or merchandising is a significant advantage, and experience with SQL, Python, and data visualization tools is highly desirable.

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How does WGSN support professional development for Senior Data Analysts?

WGSN is dedicated to the professional development of its employees, offering various opportunities to grow and learn. As a Senior Data Analyst, you will collaborate with global teams and engage in a culture of sharing and learning, ensuring that you stay ahead in your field and can inspire others through your insights.

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What types of data will I analyze as a Senior Data Analyst at WGSN?

In the Senior Data Analyst role at WGSN, you will analyze a variety of data sets related to fashion trends, consumer behavior, and market opportunities. This includes both primary and secondary research, helping to extract key insights that influence product design and forecasting.

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Can you describe the team culture for the Senior Data Analyst position at WGSN?

The team culture at WGSN is inclusive and collaborative, with a strong emphasis on diversity and creativity. As a Senior Data Analyst, you will work with a passionate team of professionals across multiple regions, fostering a supportive environment where innovative ideas and contributions are valued.

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What is the role of the Senior Data Analyst in WGSN's decision science team?

As a Senior Data Analyst in WGSN's decision science team, you will play a crucial role in providing global data insights that inform our fashion, beauty, and sports content. You'll work with various stakeholders to produce rigorous analyses that meet editorial guidelines and support strategic decision-making across the company.

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How can I stand out when applying for the Senior Data Analyst role at WGSN?

To stand out when applying for the Senior Data Analyst role at WGSN, emphasize your experience in data analytics, particularly within the fashion or retail sectors. Showcase your ability to visualize and communicate complex data clearly and highlight any unique insights or projects you've worked on that demonstrate your analytical skills and innovative thinking.

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Common Interview Questions for Senior Data Analyst
What experience do you have in data analysis within the fashion industry?

When answering this question, provide specific examples of your previous work in data analysis related to fashion. Highlight any key projects where you identified trends or generated insights that were actionable for clients or internal teams, showcasing your understanding of the industry.

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Can you describe a project where you successfully used data to drive business results?

Discuss a specific project in which your analysis led to measurable business outcomes. Explain the challenges you faced, the methods you used to analyze the data, and the impact your recommendations had on the business or product strategy.

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How do you ensure the accuracy of your data analysis?

Explain your process for verifying data accuracy, which may involve cross-checking data sources, ensuring data integrity, and using statistical methods to validate your findings. Emphasize your commitment to quality and how it aligns with WGSN's standards.

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What tools and technologies do you prefer for data analysis and visualization?

Mention the tools you are familiar with, such as SQL, Tableau, or Python, and explain why you prefer them for specific tasks. Discuss any projects where these tools allowed you to present data more effectively and derive insights.

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How do you handle conflicting data or unexpected results in your analysis?

Describe your critical thinking process when encountering conflicting data. Highlight how you would investigate further, seeking additional information or different perspectives to clarify the situation, underscoring your problem-solving skills.

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Can you share an example of how you communicated complex data to a non-technical audience?

Provide a specific scenario where you had to explain complex data to a non-technical audience. Discuss the strategies you used, such as simplifying terminology, using visual aids, or storytelling, to ensure the audience understood the key insights.

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What is your approach to staying updated on industry trends and data analysis techniques?

Share your methods for keeping abreast of industry trends, such as following relevant blogs, participating in webinars, or being part of professional networks. Highlight any particular resources or communities that have helped you grow as a data analyst.

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How do you prioritize tasks and manage your time when working on multiple data projects?

Discuss your time management strategies, such as using project management tools or establishing clear priorities based on project deadlines and impact. Show you can stay organized and focused, even in a fast-paced environment.

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Describe a time when your analysis was challenged. How did you respond?

Share an experience where another stakeholder questioned your findings. Explain how you maintained professionalism, addressed their concerns with data, and potentially adjusted your analysis based on their feedback to ensure accuracy.

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What measures do you take to ensure data privacy and security in your analyses?

It's essential to demonstrate your understanding of data privacy and security. Discuss best practices you follow, such as anonymizing data, adhering to regulatory standards, and ensuring sensitive information is handled responsibly.

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Together, we create tomorrow

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Full-time, on-site
DATE POSTED
November 29, 2024

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