As a part of the Digital Solutions team you will be responsible for continuous improvements in business intelligence and advanced analytics. You will lead the development of new digital products providing critical insights that help solve business challenges. The successful candidate will lead efforts to improve the Global Supply Chain data understanding across the organization through improved process, governance, and data management.
The ideal candidate is passionate about reinforcing a strong data foundation and adopting modern data architecture to support analytics today and into the future. The strong performer can expect further career advancement opportunities with Ecolab and will have the chance to move into other roles within IT organization, with increasing leadership opportunities. This is an exciting opportunity to advance your career with a stable growing company!
Main Responsibilities:
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Serve as a liaison among stakeholders to analyze, document, and validate data requirements.
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Perform in areas of data discovery, gap analysis, integration strategy, design dimensional model.
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Design, develop, support of ETL pipelines, tables, views, stored procedures.
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Develop, test, and operationalize Power BI semantic data models.
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Contribute to the creation of processes for improving data quality across the enterprise.
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Collaborate with business and product teams to document data definition in the data catalog tool.
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Navigate the adoption of modern data architecture for current and future analytics.
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Ability to work independently, establish objectives, and communicate project plans and milestones.
Basic Qualifications:
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Bachelor’s degree with 1-2 years experience in business intelligence role.
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Experience with cloud environments, preferably Azure, Snowflake or Columnar databases.
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Experience with data and scripting languages, such as SQL, PL/SQL and Python.
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Experience of ETL pipelines using Azure Data Factory, and API interfaces.
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Concepts of transactional and dimensional data model design.
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Proficient in Power BI, DAX studio, Tabular editor, partitioning, dataset refresh optimization.
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Exceptional analytical and problem-solving abilities.
Preferred Qualifications:
· Experience in data science areas such as time series analysis, forecasting, classification, and regression analysis in Databricks platform.
· Experience with end-to-end automation, app development in Streamlit or Python.
· Managing and delivering multiple projects, tasks, and initiatives simultaneously.
· Understanding of Agile and Scrum methodology.
· Ability to create, implement, document, and continuously improve processes in a changing environment.
· Experience working with global cross-functional teams and demonstrated ability to work well with people from different disciplines with varying degrees of technical expertise.
· Desire to advance career in data leadership at enterprise level.
· Experience designing and building standard reports and dashboards in a global setting.
· Experience in the Supply Chain data domain is a plus.
· Master’s degree preferred with emphasis in Mathematics, Statistics, Computer Science, Information Technology, Engineering or Data Science.
A trusted partner at nearly three million customer locations, Ecolab (ECL) is the global leader in water, hygiene and energy technologies and services that protect people and vital resources. With annual sales of $15 billion and 49,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and on-site service to promote safe food, maintain clean environments, optimize water and energy use, and improve operational efficiencies for customers in the food, healthcare, energy, hospitality and industrial markets in more than 170 countries around the world. For more Ecolab news and information, visit www.ecolab.com.
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How the process will look like
Your teammates will gather all requirements within our organization. Then, once priority has been discussed, you will decide as a team on the best solutions and architecture to meet these needs. In continuous increments and continuous communication between the team and stakeholders, you’re part of making data play an even more important (and understood) part withing Brand New Day.
USD 100K - 172K *
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