Data Quality Lead

Toronto, Ontario, Canada

Syngenta Group

A leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources.

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Company Description

As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all –while minimizing the use of land and other agricultural inputs. 

Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold. 

Syngenta Crop Protection is headquartered in Switzerland. 

Job Description

Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population and taking care of our planet. As part of Syngenta Canada, the Data Quality Lead role is responsible for effectively maintaining the accuracy and completeness of on-the-ground (OTG) sales data at Syngenta Canada.

This technical and hands-on position oversees and executes processes related to transactional data acquisition. The scope involves developing validation rules, analyzing data conditions and resolving data quality issues, while also overseeing data flows to improve the data acquisition process. This position will collaborate closely with the Program Specialists, Data Engineer and Master Data Management Specialist to improve customer data quality and speed.

This position has a flexible work location and can be based in Guelph, ON, Calgary, AB, or remotely across Canada.

Accountabilities:

  • Own and execute the full data quality assurance cycle by:
    • Developing and implementing data validation rules and solutions to audit and identify inaccuracies, inconsistencies, and anomalies in transactional data.
    • Monitoring the ongoing data condition and reporting on data quality metrics and outliers to be fixed, determining business impact level for data quality issues.
    • Performing in-depth quantitative analysis to identify patterns, trends, root causes of the issues
    • Acting to resolve identified data quality issues and to support stakeholders.
  • Collaborate with and maintain relationship with third-party vendor to optimize the data acquisition process, provide feedback, and ensure data acquisition processes meet quality standards.
  • Process Optimization & Technical Operations:
    • Oversee and execute processes related to OTG data acquisition.
    • Develop new solutions and optimize existing data quality monitoring, interfaces, and data acquisition processes.
    • Monitor and troubleshoot specific jobs of data flow.
    • Implement continuous improvement items related to the data OTG Sales data acquisition process.
    • Prepare and present regular reports on data quality metrics and improvement initiatives. 

Qualifications

Required:

  • Bachelor's degree in a relevant field (e.g., Data Science, Data Analytics, Information Management, Math, Statistics) or equivalent practical experience.
  • Proven experience in data analysis, data quality management, data validation, data acquisition processes, or related areas.
  • Proficiency with SQL, Python, AWS Redshift and Advanced Excel skills.
  • Experience with ETL processes and tools, particularly SSIS and/or AWS Glue.
  • Familiarity with data quality tools, methodologies, and statistical concepts applied to data validation.
  • Excellent attention to detail and ability to identify data patterns, discrepancies and audit data and processes.
  • Excellent analytical and problem-solving skills, with the ability to investigate and resolve complex data issues.
  • Excellent communication skills to effectively interact with stakeholders and ability to work both independently and collaboratively in a team setting.
  • Organizational and leadership skills to manage and guide initiatives internally and with vendor with minimum supervision.

Preferred:

  • Working knowledge of BI tools such as Qlik.
  • Working knowledge of analytics tools such as Alteryx and R.
  • Working knowledge of SAP, Salesforce CRM.
  • Knowledge of Agile methodologies and Product Owner concepts and techniques.
  • Understanding of marketing reward programs and/ or customer incentive programs.

Additional Information

What We Offer: 

  • We offer a competitive base salary and incentive bonus potential, combined with challenging and meaningful work, learning and career development opportunities and a great team environment. 
  • A culture that celebrates diversity & inclusion, promotes personal and professional development and offers flexible work options to meet both your work and personal needs. 
  • Comprehensive Benefit offering, Pension and Group Retirement program with company match, and Profit Sharing. 
  • Focus on Wellness and innovative programs that support overall health and wellbeing such as annual Lifestyle Account and free Headspace App. 
  • Progressive Employee Policies and Programs including a Flexible Work Location approach, and a vacation policy that provides up to 30 days’ vacation for all employees. 

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. 

Syngenta Contact Information:  
If you need assistance during the application process, please contact the Service Desk at recruitment.na@syngenta.com 

Syngenta Canada welcomes applications from all qualified candidates and is able to accommodate persons with disabilities.  For more information about accommodation during any stage of the recruitment process or if you would like more information on our accommodation policies, please contact recruitment.na@syngenta.com 

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Category: Leadership Jobs

Tags: Agile AWS AWS Glue Data analysis Data Analytics Data management Data quality ETL Excel Mathematics Python Qlik R Redshift Salesforce SQL SSIS Statistics

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Salary bonus Wellness

Region: North America
Country: Canada

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