Principal Business Process Data Analyst

2 days ago

Saint Paul, Minnesota, United States Ecolab Full time
Job Summary

We are seeking a highly skilled Principal Business Process Data Analyst to join our team at Ecolab. As a key member of our Enterprise Data program, you will be responsible for providing a globally cloud-hosted repository of business and performance data from various sources, including SAP and other ERP systems, Master Data Management (MDM) systems, and regional and international enterprise data stores.

Your primary objective will be to enable Ecolab's various businesses to create insightful analytics for the monitoring and enhancement of business and customer outcomes for our Commercial Digital Solutions and One Customer Program. You will lead the business analysis effort to capture, clarify, and manage business system requirements for the analytics environment, identifying, documenting, and validating business system requirements, data, capabilities, and data products used by the technical team to provide functionality necessary to meet business objectives.

As a trusted partner at nearly three million customer locations, Ecolab 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.

Key Responsibilities:

  • Work with business stakeholders, product owners, and downstream consumers to ensure the data roadmap is aligned to their goals and objectives.
  • Lead/facilitate meetings with business and technical resources.
  • Prepare presentations containing business and/or technical topics.
  • Business Process - work with the team to define and document complex business requirements with high-level analysis and rapid prototyping.
  • Provide data/business analysis support to the development team.
  • Clarify priorities for the business and details of the deliverables (including rough estimation).
  • Be a Self-Leader who demonstrates the ability to serve as a strong team member with solid communication skills and the ability to handle multiple priorities in a fast-paced, growth environment.
  • Perform and deliver key thought leadership in areas of data engineering: modeling, integration, big data, and cloud solution design, data warehousing, and data discovery.
  • Engage architecture and operational teams to collaboratively deliver strategic roadmaps for enterprise and divisional data reporting and analytic solutions.
  • Collaborate as a data expert for assisting enterprise business platforms to integrate with global data solution strategy.
  • Contribute to the creation of processes for improving data quality across the enterprise.

Requirements:

  • 8 years of professional work experience working in a Business or technical analytics role (e.g., business or data analyst).
  • 3 years' experience in a Data warehouse/analytics environment.
  • 3 years of experience working closely with business stakeholders.
  • Progressive experience in operational data delivery: demonstrate thought leadership, technical ownership, and solution design skills.
  • Travel: Up to 10% of the time.
  • Hands-on experience with data engineering solutions in cloud environments, preferably Azure.
  • Desire to advance career in Business solution leadership in data engineering or architecture.
  • Ability to work independently, establishing strategic objectives, project plans, and milestones.
  • Excellent communication, analytical, facilitation, negotiation, and organizational skills required.

Preferred Qualifications:

  • 10 years of project management and/or business analysis/requirements gathering and/or delivery experience.
  • 6 years' experience writing clear and concise requirements and business communications.
  • Cloud data warehouse implementation experience using Snowflake, Azure, or other cloud data warehouse solutions.
  • Experience with different data and scripting languages, such as SQL and Python.
  • Knowledge of security design, vulnerability analysis, and threat mitigation.
  • Ability to write simple SQL queries for data validation or investigation preferred.
  • Basic SAP domain knowledge (commercial sales, customer, finance-related data).

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