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IT&D Sr Analyst - Insight & Experience

City: Ciudad de Mexico

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.

Information Technology & Digital

In IT and D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products.

Working globally across functions, you'll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if you're willing to bring your ideas to the table, you'll get the support and investment to make them happen.

Your potential will never be wasted. You'll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, you'll keep learning exciting new approaches.

About the role

Embark on a transformative career path where your passion for data engineering and business intelligence converge. As an IT & D Senior Business Analyst, Data Engineer at Reckitt, you'll be instrumental in sculpting the data infrastructure that powers a global leader in consumer goods. We're seeking a visionary who thrives in an agile environment, delivering data solutions that resonate with both customers and business objectives. Innovate, inspire, and grow with us as you drive our digital evolution forward.

Your responsibilities

Product Management & Insights Enablement

Act as product manager for analytics tools and platforms.
Lead discovery sessions to assess business maturity, pain points, and analytics potential.
Translate complex business challenges into actionable data solutions.
Identify opportunities for value creation through data products and insights.

Business Engagement & Advisory

Serve as a trusted advisor across business functions.
Drive adoption of analytics tools via UX workshops, user training, and feedback loops.
Build and sustain a Community of Practice focused on insights, analytics, and user experience.

Technical & Analytical Capability

Understand technical architectures (Azure, Power BI, data lakes, BI tools, GenAI).
Collaborate with engineering, data science, and IT to deliver scalable solutions.
Analyze complex datasets to generate actionable insights.
Stay up to date with AI advancements and lead AI integration initiatives.

Change Management & Adoption

Lead change management strategies to advance analytics and data culture.
Develop frameworks to enhance user experience and ensure long-term adoption.
Monitor usage and value realization of deployed data products.

The experience we're looking for

Experience & Education

3–8 years of experience in data analytics, product management, or digital transformation roles.
Bachelor’s degree in relevant fields (e.g., Computer Science, Information Systems, Business Analytics, Engineering, Marketing Analytics, Economics, Mathematics).
Master’s degree in Data Science, Business Analytics, Information Systems, or related field is recommended.
Professional certifications or coursework in data analytics, product management, AI, or machine learning are a strong plus.

Industry Background

Prior experience in Consumer Packaged Goods (CPG), pharmaceutical, or retail industries is recommended.

Language Skills

Advanced English proficiency (written and spoken) is mandatory due to the global scope of the role.

Technical & Analytical Skills

Proven ability to drive business value through analytics, insights, and data visualization.
Strong understanding of data architecture and technical solutions (e.g., data lakes, pipelines, BI platforms).
Proficiency in tools like Power BI, Tableau, Qlik, Dataiku, and Alteryx.
Working knowledge of SQL, Python, and modern data environments (e.g., Snowflake, Redshift, Oracle).

The skills for success

Data Governance, Data Privacy, Data Warehousing, ETL Tools, Data Modelling, Data Visualisation, Agile Best Practices, Compliance Management, Communication and Collaboration, Problem Solving, Attention to Detail, Mentoring and Coaching.

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.

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.

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