Data Strategy Analyst

ABOUT LAUNCHMETRICS

Launchmetrics provides the First AI-powered Brand Performance Cloud for Fashion, Lifestyle and Beauty (FLB) companies to make smarter decisions around their brand marketing efforts.

Our suite of SaaS leverages AI and data to help our customers plan, execute and measure brand marketing initiatives. With over a decade of industry expertise, we have helped more than 1,200 customers create inspiring, impactful and measurable experiences.

Founded in NYC and with operating headquarters in Paris, we have employees in ten markets worldwide. We have been the trusted brand performance technology to brands worldwide such as Dior, Fendi, Shiseido, NET-A-PORTER and Adidas as well as industry partners like IMG, the Council of Fashion Designers of America, the British Fashion Council, and Camera Nazionale Della Moda Italiana.

ABOUT THE ROLE

At Launchmetrics, our data is the backbone of our products and the core of the value we bring to our customers.

The Data Strategy team works on 3 main pillars:

1. Exploring new data value propositions to drive business growth
2. Developing our coverage methodology and roadmap to ensure the relevance of our data asset
3. Defining our taxonomy and working on automating some of the enrichments to increase data quality and profitability

These pillars aim to provide the most qualitative and advanced insights to our customers through our offers and products. Combining Data Analysis skills and Industry Expertise, we explore and validate new methodologies that will leverage all the potential of our data asset for Brand Performance.

Reporting to the Data Strategy Manager, as Data Strategy Analyst, you will be a key contributor to our first pillar to explore our new data value propositions and make sure we can provide the most advanced insights tailored to FLB markets.

WHAT YOU WILL DO

Strategic analysis:

1. Conduct market watch and monitor industry trends to inform strategic decision-making for our teams and help make sure we align with the unique requirements of Fashion, Lifestyle and Beauty brands.
2. Perform competitor analysis to understand their strategies and gain a deep understanding of the competitive landscape. This will include attending webinars, reading white papers and identifying their value proposition.

Exploration of new data value propositions:

1. Identification and scoping of new Data/Gen AI use cases: this will include doing some discovery and talking with our customers to understand their needs, running some ad hoc analysis to assess value.
2. For Gen AI use cases, craft and refine prompts to enrich our data. Define the right testing approach and confirm results quality.
3. Work closely with Data Scientists to define the right processes and ensure feasibility (technic-wise, cost-wise and process-wise). Document this process for next steps.
4. Run some POC collaborating with the Brand Insights team: run some data analysis, identify relevant insights and share the results with clients (through dashboards or reports) to ensure interest and validate the methodology.

Examples of projects you may work on:

1. Industry Landscape analysis to detect the emerging trends in the industry.
2. Message Matching to help brands measure how well they are sharing their key messages to their target audiences.

ABOUT YOU

Skills and Qualifications:

1. Academic Background: Ideally you have a degree from an Engineer or Business Master’s degree and you have some demonstrable practical experience in data analytics.
2. Hybrid Profile: You can tackle technical and business topics and navigate between both easily.
3. Analytical Abilities: You have a strong capability to analyze data, identify patterns and you are rigorous when it comes to the reliability of the insights you will provide (relevance of the metrics, double checking the results).
4. Curiosity and Enthusiasm for FLB industries: You want to learn more about the FLB industries and you have a proactive attitude that will help you develop your Industry Expertise.
5. Collaborative Spirit: You have a strong ability to collaborate with other team members both from technical and business teams (Data Intelligence, Product, Brand Insights).
6. Technical skills: Good knowledge of Excel and SQL is required.

Extra-Credit:

1. Good understanding of Generative AI and large language models (LLMs).
2. Experience in prompt engineering.
3. Python and other programming languages are a plus.

We value diverse perspectives and recognize that skills and experiences can be gained in various ways. If you're excited about this opportunity but don't meet every single requirement listed, we would love to hear from you and encourage you to submit an application!

OUR RECRUITMENT PROCESS

1. Intro Call with HR
2. Meet & Greet with Hiring Manager
3. Skills Assessment
4. Culture fit Meeting

WHY YOU’LL LOVE LAUNCHMETRICS

We're a company that prioritizes people, fostering a relaxed yet dynamic atmosphere. Our international team is filled with enthusiastic, motivated individuals who enjoy their work. Autonomy empowers our team members, allowing them to make a substantial difference in our business, for our customers, and within our organization. When you become part of our team, you'll have access to growth and advancement possibilities, including a learning and development allowance, a benefits package tailored to each location, and flexible work arrangements, along with support for establishing your home office and other perks.

OUR COMMITMENT

Launchmetrics is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If there is anything extra we can do to help you feel at ease during your interview process, please let the PeopleOps team member you’ll be meeting with know.