Analyst, Data Informatics

TreeHouse Foods · New York City, NY

Company

TreeHouse Foods

Location

New York City, NY

Type

Full Time

Job Description

Employee Type:

Full time

Location:

NY Works from Home

Job Type:

Information Technology

Job Posting Title:

Analyst, Data Informatics

About Us:

TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of production facilities across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work, directly impacting our mission to make high quality, affordable food for our customers, communities and families. We hope you will consider joining the team and being part of our future.

What You Gain:

  • Competitive compensation and benefits program
  • Enrollment in our wellness and employee assistance programs
  • Paid holidays, vacation, and other competitive paid time off opportunities
  • An inclusive working environment where you can build meaningful work relationships with a diverse group of people
  • Leaders who are invested in supporting your career growth
  • Opportunities to be recognized for outstanding contributions to your team through our employee recognition programs

Job Description:

About the Role:

The Data Informatics Analyst will have a deep understanding of data quality principles, SAP Master Data, and other modules and hands-on experience with ETL tools and languages like SQL and Python.

You'll add value to this role by performing various functions including, but not limited to:

  • Design and implement complex data quality rules to ensure accuracy, completeness, consistency, timeliness, uniqueness, and validity.
  • Lead all data quality metrics initiatives and processes to ensure high-quality data standards.
  • Leverage expert-level knowledge of SAP Information Steward, Syniti, RuleX, or similar tools for efficient data management and quality control.
  • Provide insights and understanding of SAP Master Data and other modules such as SD, MM, FI, QM, LE, and PM.
  • Design and build SAP HANA CDS and calculation views to assist with data analysis and interpretation.
  • Utilize SAP BODS (Business Objects Data Services) or similar ETL tools to transform, cleanse, and validate data for analysis.
  • Write and optimize complex SQL queries to extract, manipulate, and analyze data.
  • Implement Python scripts for data manipulation, preparation, and analysis.

Important Details: This is a hybrid role.

About You:

You'll fit right in if you have:

  • Bachelor's degree in computer science, information systems, data science, or a related field is required. A master's degree in a relevant field is preferred.
  • 2+ years of experience in data management, governance, data quality, or related fields, with at least two years in a senior or lead role. Prior experience in a similar role is highly desirable. Proven hands-on experience in designing and implementing complex data quality rules.
  • Strong knowledge of data quality metrics and principles.
  • Expertise in at least one of the following tools: SAP Information Steward, Syniti, RuleX.
  • Strong understanding of SAP master data and other modules like SD, MM, FI, QM, LE, and PM.
  • Demonstrated experience in designing and building SAP HANA CDS and calculation views.
  • Hands-on experience with SAP BODS or similar ETL tools.
  • Strong SQL skills and the ability to write, optimize, and debug SQL queries.
  • Hands-on Python scripting experience.
  • Strong problem-solving skills, attention to detail, and ability to think creatively and innovate within a fast-paced environment.
  • Excellent verbal and written communication skills, with the ability to clearly express complex ideas and concepts.

Your TreeHouse Foods Career is Just a Click Away!

Click on the "Apply" button or go directly to www.treehousefoods.com/careers to let us know you're ready to join our team!

TreeHouse Use Only: #IND1

Date Posted

08/18/2023

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