Data Science & Analytics Associate Manager (Parsippany, NJ, US, 07054)

Data Science & Analytics Associate Manager (Parsippany, NJ, US, 07054)

We are Reckitt

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

​Marketing Excellence​

Marketing is at the heart of Reckitt. We pride ourselves on our unique way of driving growth for some of the world's most loved and trusted health, hygiene and nutrition brands.Our purpose and fight are what motivates us to design and deliver distinctive communications throughout our consumer funnel, so that we deliver category growth as well as a positive impact on society.With extensive media and digital teams embedded throughout the organisation, we measure both our business and our societal impact. Our global teams lead on our overarching brand strategy, brand guardianship and innovation pipeline in close partnership with R&D. Leaving our local marketing teams to deliver on our regional goals in partnership with our Sales teams.With the scale of our 2500 marketing community - alongside our leading-edge Marketing Academy - your opportunities to grow and upskill will be extensive.

About the role

Ignite your career with Reckitt by becoming our Global Senior Insights & Analytics Lead – Market. In this vital role, you'll be the compass that guides our market-specific strategies with your expert analysis and data-driven insights, contributing directly to our continued global success. We're looking for someone with a keen eye for detail and a talent for transforming data into stories that drive innovation and growth. If you're passionate about influencing decision-making in a dynamic, purpose-led company, we want to hear from you.

The experience we're looking for

• 5 + years in Business Analytics
• Bachelor’s degree in Data Science, Statistics, or Mathematics. Master’s degree preferred.
• Ability to travel (10% of the time)
• Solid background in market analytics, adept at interpreting complex data to create relevant market strategies.
• Exceptional leadership abilities, with a history of guiding diverse teams in a cross-functional environment.
• Fluent in using analytical tools like SQL, Python, R, and familiar with market research methodologies.
• Outstanding communication and presentation skills to engage and influence stakeholders.
• Ideally a background in FMCG or Consumer Health, bringing a creative and sustainable approach to product development and marketing.

Job Responsabilities

• Leverage syndicated POS and Panel data to develop deep understanding of Portfolio and Category Performance.
• Influence and impact business results by interpreting, synthesizing, and communicating insights and recommendations that are simple, engaging, and actionable.
• Support Marketing team requests as the go-to expert on portfolio and category performance.
• Create and Evolve weekly Ad-Hoc business Reporting with changing needs of the business & organization.
• Collaborate with broader Insights & Analytics team to deliver strategic reporting. Leverage performance data to support long-term planning inputs.
• Grow data literacy among team members, as a strategic enabler of company goals and objectives. Educate cross-functional users of reporting tools to expand best practices for data use.
• Maintain both internal and external POS/Panel database integrity, proactively engage in innovation and update panel database data collection.
• Apply machine learning techniques (classification and regression models) to large-scale consumer and retail datasets to identify patterns, predict performance trends, and support data-driven targeting strategies.
• Utilize panel data to analyse consumer behaviour, purchase drivers, and household dynamics to inform category strategy and portfolio growth.

The skills for success

• Very Strong technical skills: Microsoft Excel, PowerBI
• Statistical Modelling and Machine Learning experience preferred
• Python and SQL experienced preferred
• Proficient with Syndicated and Panel data source (Nielsen, IRI/Circana, Numerator, etc) and is continually able to stay up to date with the latest data source.

What we offer

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.

US salary ranges

USD $113,000.00 - $169,000.00

Equality

We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.