Easter Seals Jobs

The Estée Lauder Companies is a global beauty powerhouse, with a portfolio of iconic brands that have shaped the beauty industry for decades. Our commitment to excellence, innovation, and inclusivity extends not only to our products, but also to our people. We believe that every individual brings a unique perspective, and together, we create a vibrant and empowered workforce.

Due to our continued growth we are now hiring a

Data Analyst

for our global team in Budapest.

The role:

This role will be a fundamental part of Material Management transformation. This role will be develop analytical tools to decouple planning from Product Availability risk communication and critical reporting to support the business asks. Examples are;

• Rough Cut Capacity Planning;

• Automation of a 1020 report or similar (PO Management reporting) future and historical;

• Quality rejects;

• Service items;

• Expiration reporting etc.

This role will work closely with the Supply Chain COE to develop analytical tools to mitigate any possible risk on Material availability and deliver insights across brands and regions with a combination of modelling/analytical skills, data management and business insight. This role will anticipate and tackle multimillion-dollar business problems and opportunities to transform the way ELC does business. Using data visualization, and analytic tools to create the business building insights in mountains of data.

This role needs to be an effective communicator, self-motivated, and able to convert insights into actions that improve the business results. Needs to mine terabytes of data, derive actionable insights, and translate complex outputs or algorithms into simple conclusions that will empower others to take action.

Responsibilities

• Combine and apply functional knowledge, technical ability, and understanding of business requirements to create effective data visualization and dashboard outputs spanning the broad portfolio of Procurement and Source to Pay processes.

• Ensure data accuracy and integrity in all visualizations and reports through testing and validation.

• Collaborate with IT to design and develop data pipelines to extract, transform, and load (ETL) data from various sources (databases, APIs, flat files) to automate the input data ingestion of data visualization reports.

• Support the design, development, and enablement of automated reports and scorecard publication and distribution (e.g. NPrinting).

• Cross-functional collaboration with data analysts, project manager, and business stakeholders to understand specific reporting and analytical view requirements.

• Communicate technical concepts to non-technical audiences in a clear and concise manner.

• Compose and maintain the documentation of the end-to-end process of data and reporting products for future reference.

• Provide necessary training and support to the end-users of applicable data products.

• Establish standard operating procedures and make recommendations to enhance the end-to-end data value chain.

• Proactively identify areas of improvement on existing reporting and data assembly processes or establish and test new hypothesis.

• Stay up to date with the latest trends and best practices in data analytics and business intelligence.

• Ensure all SLAs/KPIs to our stakeholders are met.

• Ensure that new/revised business needs are translated to daily operations and roles and responsibilities.

• Provide backup support within the team. Be part of maintaining a motivating workplace and safe working environment for all team and department colleagues.

Requirements

• Bachelor’s degree or higher in Business, Supply Chain, Industrial Engineering or IT.

• Proficiency in data visualization tools such as QlikView, Tableau, Power BI, or similar, and other data analytics tool (for example Python, Macros, R, SQL)

• Analytics knowledge

• Attention to design beauty and use convenience (UX). Applying design principles such as colors, typography, information hierarchy, and so on, a designer can build stunning and easy-to-understand visualizations

• Abstract intelligence to be able to structure models, logic analysis and data management.

• Good verbal, written, and interpersonal communication skills in English

• Good analytical & problem-solving abilities, e.g. identifying patterns & variations, and the ability to communicate & explain said solution/s

• Good time management skills, with the ability and willingness to work across, and manage multiple projects and deliver on deadlines

• Good ability to foster a team relationship with co-workers and all agency disciplines

• Strong interest in the beauty industry is a plus

• Creates an accountability and own it culture

Our hybrid work model:

At ELC, we believe that efficiency doesn’t depend on being in the office five days a week. To support work-life balance, we offer our office-based colleagues the opportunity to work from home up to 10 days per month.

Our Benefits:

At ELC, we’re excited to offer you a variety of benefits; enjoy exclusive discounts on our premium brands including Estée Lauder, Tom Ford, Jo Malone London, La Mer, and many more. We also provide a yearly bonus to recognize your contributions. You’ll also have access to our flexible cafeteria plan, providing personalized options for your specific needs. Get active with the AYCM sport pass program available as a self-financed option tailored to your fitness goals. We also provide 24/7 mental health support through Magellan Healthcare, ensuring you and your family have access to professional counseling whenever needed. Additionally, enjoy free access to LinkedIn Learning for continuous development, and take advantage of our mobile fleet plan.

We are an equal opportunity employer. We welcome applications from candidates of all backgrounds. Minorities, women, veterans, and individuals with disabilities are encouraged to apply. It is Company's policy not to discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability.