Analyst, ESG Data
1 month ago
At Revlon, we create beauty innovations for everyone that inspire confidence and ignite joy every day.
Breaking beauty boundaries is in our company’s DNA. Since its game-changing launch of the first opaque nail enamel in 1932 (and later, the first long-wear foundation), Revlon has provided consumers with high-quality product innovation, performance, and sophisticated glamour. Elizabeth Arden made waves as a woman-led beauty company in the 1920s. In 1931, Almay became the original hypoallergenic, fragrance-free beauty brand.
Today, Revlon resiliently continues its legacy as a leading global beauty company. Our diverse portfolio—which consists of some of the world’s most iconic brands and product offerings in color cosmetics, skin care, hair color & care, personal care, and fragrances—is sold around the world through prestige, professional, mass, and direct-to-consumer retail channels. These brands include Revlon, Revlon Professional, Elizabeth Arden, Almay, American Crew, CND, Cutex, Mitchum, Sinful Colors, Creme of Nature, Britney Spears, Christina Aguilera, John Varvatos, Juicy Couture, Ed Hardy and more.
We honor our heritage, embrace change, and applaud diversity. We champion our employees and celebrate our consumers.
We are Revlon, together, transforming beauty.
Position Overview:
As a global beauty brand driven by values and purpose, Revlon is committed to sustainable business practices and is seeking an ESG/Sustainability data manager and analyst to support its global sustainable business strategy. This position will be responsible for sustainability related data needs and will help Revlon achieve international sustainability goals across multiple business units while interfacing with cross-functional ESG working groups and senior leadership.
Responsibilities Include:
- Managing, measuring, analyzing, sustainability related operational data from across the organization.
- Working with relevant teams, individuals, and representatives to establish appropriate protocols and systems for data collection.
- Becoming a “super-user” expert in all company ESG software platforms, providing training for others cross functionally, and participating in continuous improvement of these processes.
- Supporting requests for information from ESG software platform both internal and external.
- Ensuring integrity of data and data collection streams.
- Monitoring progress against sustainability related goals.
- Supporting sustainable business strategy developments and senior-level decision making through relevant data driven insights.
- Supporting sustainability related disclosures, reports, and presentations.
- Engaging with cross-functional teams and external partners around sustainability related data.
- Working closely with Revlon’s R&D experts in raw materials, formulation, packaging, safety & regulatory and coordinating with SPOCs from Legal, Supply Chain, Marketing, Communications and company leaders around sustainability related data.
- Familiarity with relevant sustainability related regulation and reporting frameworks, standards, and measurement protocols, including CSRD, GHG, and others.
Experience:
- 3+ years of experience in a business setting
- 3+ years of experience with sustainability related data and reporting
- Experience in the fast-moving consumer goods sector is important and cosmetics & personal care experience is preferred.
Knowledge, Skills & Abilities:
- Highly organized
- Teamwork and collaboration skills
- Strong written and oral communication skills
- Ability to summarize and communicate key insights
- Project and timeline management and prioritization skills
- Working expertise with data management tools such as SAP, Workiva, Persefoni, Excel, PLM, MS project, etc.
- Working knowledge of sustainability related data relevant to global sustainability related regulation and sustainability related frameworks, standards, and protocols.
Education & Certification
- Bachelors’ degree required; Masters’ degree preferred
- Education in relevant fields such as sustainability, sustainable business, data science, analytics, statistics
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