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Senior Analyst, Data

Senior Analyst, Data

ReckittWarszawa, Województwo mazowieckie, Polska
8 days ago
Job description

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, you'll be responsible for your own initiatives - we can't wait to listen to your ideas. You will be supporting the product groups in driving the digital transformation agenda and enable the unlocking of the value these initiatives will deliver through the R&D digital strategy. With a data driven mindset, you'll have the freedom to think strategically and define the data profile, identify the data assets in general and specially the Critical Data Elements, and determines the official sources of data in scope to address use case requirements. Defining business rules and standards for relevant data product, prioritises issues to remediate, and oversees remediation planning and implementation.

Your responsibilities

  • Collaborate with senior Stakeholders to understand the Business needs and improve existing data models.
  • Document requirements for new / existing data products in scope of a given area. Retrofit existing data products to be complaint with company standards documentation wise to maintain the data lineage for given data products.
  • Identify data duplication between existing data platforms and design new data models to deduplicate common datasets.
  • Make sure that the data products are properly catalogued and follow the definition of done principles.
  • Be the F.A.I.R. Guardian - ensure that data is Findable, Accessible, Interoperable and Reusable.
  • Identify areas for improvement in current data products.
  • Collaborate with others to work on the cross-domain data sharing, identify the needs of other products and make sure data contracts are in place.
  • Work closely with the squad (Data Engineers, Scrum Masters and Business Analysts) to make sure data products are being built as per architectural design.

The experience we're looking for

  • Can do attitude with a strong sense of urgency.
  • Strong analytical and consulting skills, rooted in ability to draw and communicate insights from multiple data points.
  • 4+ years experience as a Data Business Analyst.
  • 6+ years working as a business analyst or working with Data & Analytics products.
  • 6+ years experience in a complex IT programme and / or portfolio environment.
  • Data management skills.
  • Experience with Microsoft Azure tech stack (Databricks, ADO, ADF).
  • Understanding of Data Mesh concept and F.A.I.R. principle.
  • Knowledge and understanding of Data Layers (Medallion Architecture) and Kimball Dimensional Modelling.
  • Data modelling skills (conceptual & logical data models, defining keys and dimentional vs transactional tables relations, normalized vs denormalized data).
  • Understanding of PowerBI, basic SQL / R / Python skills to be able to query the tables.
  • Superior analytical skills and attention to detail.
  • Creative problem-solving abilities and unconstrained thinking approach.
  • Ability to work in a high paced, dynamic environment, change management skills.
  • 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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