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Senior Analytics Engineer

Ecolab

Ecolab

Software Engineering, Data Science
Pune, Maharashtra, India
Posted on Jun 27, 2024

At Ecolab, you can help take on some of the world’s most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact?

Ecolab is searching for a driven Senior Analytics Engineer for future opportunities within our Supply Chain division in Pune, India.

As a part of the Data Operations 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!

What’s in it For You:

  • You will join a growth company offering a competitive salary and benefits.
  • The ability to make an impact and shape your career with a company that is passionate about growth.
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best.
  • Feel proud each day to work for a company that provides clean water, safe food, abundant energy and healthy environments.

What You Will Do:

  • Serve as a liaison among stakeholders to analyze, document, and validate data requirements.
  • Perform in areas of data discovery, gap analysis, integration strategy, design dimensional model.
  • Design, develop, support of ETL pipelines, tables, views, stored procedures.
  • Develop, test, and operationalize Power BI semantic data models.
  • Contribute to the creation of processes for improving data quality across the enterprise.
  • Collaborate with business and product teams to document data definition in the data catalog tool.
  • Navigate the adoption of modern data architecture for current and future analytics.
  • Ability to work independently, establish objectives, and communicate project plans and milestones.
  • Contribute to knowledge management activities by identifying and updating knowledge as requested and required.
  • Support continuous improvement initiatives by identifying opportunities and participating in improvement projects.

Minimum Qualifications:

  • Bachelor’s degree with 5 to 8 years of experience in business intelligence role.
  • Experience with cloud environments, preferably Azure, Snowflake or Columnar databases.
  • Experience with data and scripting languages, such as SQL, PL/SQL and Python.
  • Experience of ETL pipelines using Azure Data Factory, and API interfaces.
  • Concepts of transactional and dimensional data model design.
  • Proficient in Power BI, DAX studio, Tabular editor, partitioning, dataset refresh optimization.
  • 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 for millions of customers, Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, Ecolab has annual sales of $14 billion, employs more than 47,000 associates and operates in more than 170 countries around the world. The company delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use. Ecolab’s innovative solutions improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets. www.ecolab.com

Follow us on LinkedIn@Ecolab, Twitter@Ecolab, Instagram@Ecolab_Inc and Facebook @Ecolab.


Our Commitment to Diversity and Inclusion

Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. Our goal is to fully utilize minority, female, and disabled individuals at all levels of the workforce. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.