At a Glance
- Tasks: Analyze data to drive decisions in marketing, finance, and sales while developing predictive models.
- Company: Join Ceva Animal Health, a global leader in animal health committed to innovation.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on diversity, equity, and inclusion.
- Why this job: Make a real impact on animal health and contribute to a sustainable future.
- Qualifications: Bachelor's degree and experience in data analysis; strong Excel skills required.
The predicted salary is between 100000 - 110000 $ per year.
Data Scientist
The success of a company depends on the passionate people we partner with.
Together, let's share our talents.
As a global leader in animal health, Ceva Animal Health believes our success is linked to our passionate people researching, developing, producing and supplying innovative health solutions for all animals, which contributes to the future of our diverse planet.
We are committed to ensuring the highest possible level of care and well-being for farm animals (poultry, pigs, ruminants), companion animals (dogs and cats) and wildlife.
Indeed, Our “Together, Beyond Animal Health” vision emphasizes that the health and wellbeing of people, animals and our planet are totally interlinked.
More than ever, Ceva is committed to a "One Health" approach.
As part of our “Diversity, Equity and Inclusion” policy, Ceva Animal Health is committed to the employment of people with disabilities and will make reasonable accommodations throughout the interview process to ensure an inclusive and accessible experience for all applicants.
To request an accommodation, please contact a member of the Ceva Talent Acquisition team.
Your missions
Sales Data Analyst
Ceva Animal Health is looking for a detail-oriented and motivated data analyst to support our Commercial Business.
This is a great opportunity for someone who enjoys working with data, solving problems, and learning in a collaborative environment.
You'll play a key role in helping organize, clean, and report on data that informs decisions in marketing, finance, and sales.
Responsibilities
- Develop predictive models for pricing, sales forecasting, and customer segmentation.
- Apply machine learning techniques to identify margin leakage and optimize pricing strategies.
- Ensure reliability, timeliness, and accuracy of data collected.
- Enhance data collection processes and tools.
- Maintain data consistency across systems and tools.
- Prepare datasets for internal and external communication.
- Monitor market developments, competitor price strategies and price acceptance among customers; define market-facing price setting for all products in the different channels.
- Create dashboards and visualizations to support decision-making.
- Automate reporting processes.
- Monthly analysis of sales, gross margins, and variances (currency impacts, ASPs, volume, price, mix).
- Analyze volumes and net prices by channel and customer.
- Review P&Ls by business unit and operating expenses.
- Develop and implement pricing and rebate strategies.
- Conduct data analysis to define price corridors and targets.
- Monitor market developments and competitor pricing.
- Support implementation across the product portfolio.
- Ensure adherence to corporate guidelines and procedures.
- Perform tasks such as inventory cycle counting as needed.
- Participate in the development of automated data solutions.
- Support implementation of new IT systems for analytics.
- Broadcast and ensure understanding of procedures.
- Engage stakeholders to ensure buy-in and commitment.
- Focus on internal controls within commercial scope.
- May perform specific tasks on demand, such as inventory cycle counting, under the supervision of the management line.
- Perform other duties as assigned.
Qualifications
Bachelor's degree in Business, Analytics, Finance, Marketing, Economics, or a related field.
- 2-4 years of experience in a data, reporting, or business support role (internships or co-ops also count)
- Strong Excel skills (formulas, pivot tables, basic data analysis)
- Comfortable working with large data sets and learning new tools
- Good organization and attention to detail
- Willingness to learn, take direction, and adapt to changing priorities
- Positive, collaborative attitude and interest in supporting teams across marketing and sales
- Experience with tools like SQL, Python, R, or Power BI is a plus, but not required
Disclosures
- This requisition is for a current opening at our Guelph, ON facility
- Targeted compensation range is between $100-110k annual salary but may vary dependent upon education, skills and experience
- #J-18808-Ljbffr
Data Scientist in Guelph employer: CEVA Logistics
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