Data Steward

KellyMitchell Group

Creve Coeur (MO)

Hybrid

USD 48,000 - 69,000

Full time

19 hours ago
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Benefits offered by this job

Hybrid work model
Employee-Owned Profit Sharing (ESOP)
401K offered

Job summary

KellyMitchell Group is seeking a Data Steward to support data quality, governance, and management initiatives in the agricultural and life sciences sector. The role emphasizes collaboration with Product Managers and stakeholders to ensure data integrity and proper data stewardship across projects.

The ideal candidate will have strong SQL/NoSQL querying skills, data warehousing experience, and excellent communication abilities to manage multiple priorities in a team-oriented environment.

Qualifications

  • Bachelor's degree in CS, Engineering, Science, or related field.
  • Experience querying SQL and/or NoSQL databases.
  • Data warehousing experience.
  • Strong written and verbal communication skills.
  • Ability to balance demands across multiple projects.

Responsibilities

  • Understand business capability needs and processes related to IT solutions by partnering with Product Managers and stakeholders.
  • Identify gaps in requirements based on business domain expertise.
  • Participate in data scraping, curation, and compilation; ensure data quality for end users and inhouse data stewardship.
  • Utilize data solutions for analysis with SQL, Postman, R, or Python following team processes.
  • Collaborate with other data stewards and engineers on delivery dates and integration efforts.
  • Define data quality rules and implement automated monitoring and remediation.

Skills

SQL
NoSQL
Data Warehousing
Communication
Cross-functional collaboration

Education

Bachelor's Degree in Computer Science, Engineering, Science, or related field
Master’s Degree in Computer Science, Engineering, Science, or related field

Tools

SAP
APIs
Python
R
ETL tools
BigQuery

Job description

Our client, a leading organization in the agricultural and life sciences industry, is seeking a Data Steward to support data quality, governance, and management initiatives. The ideal candidate has strong SQL and data management experience, excellent communication skills, and the ability to manage multiple priorities in a collaborative environment.

Core Responsibilities
  • Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
  • Ability to identify gaps in requirements based on business subject matter domain expertise
  • Participates in data scraping, data curation and data compilation efforts. Ensures high quality of the data to end users. Ensures high quality of the inhouse data via data stewardship
  • Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
  • Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
  • Define data quality rules and implement automated monitoring, reporting, and remediation solutions
  • Coordinate intake and resolution of data support tickets
  • Support data migration from legacy systems, data inserts and updates not supported by applications
  • Partnership with the Data Governance organization to ensure data is secured and access is being managed appropriately
  • Identification of gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
  • Creation of mapping documents and templates to improve existing manual processes
  • Exploratory data analysis, data cleaning & processing
  • Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
  • Help answer questions from the end-users and coordinate with technical resources as needed
  • Build prototype SQL and continuously engage with end consumers with enhancements
  • Ability to deliver detailed technical documentation
Required Skills/Experience (Must-Haves)
  • Bachelor's Degree in Computer Science, Engineering, Science, or other related field
  • Applied experience with modern engineering technologies and data principles, Big Data Cloud Compute, NoSQL, etc.
  • Applied experience with querying SQL and/or NoSQL databases
  • Data Warehousing experience
  • Soft Skills - multiple organizational communication and influencing
  • Strong written and verbal communication skills
  • Comfortable balancing demands across multiple projects / initiatives
Preferred Skills/Experience (Nice-to-Haves)
  • Master’s Degree in Computer Science, Engineering, Science, or other related field.
  • Expert level experience in relevant business domain
  • Experience managing data within SAP
  • Experience managing data using APIs
  • Experience manipulating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot, ETL applications)
  • Experience profiling data, summarizing and reporting data quality metrics
  • Big Query experience
  • Work Model: Hybrid
  • Pay Range: The approximate pay range for this position is between $35.00 and $50.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
  • Employee-Owned Profit Sharing (ESOP)
  • 401K offered
About KellyMitchell

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

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