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Data Scientist
  • Python
  • SQL
  • Data Analysis
  • Excel
  • Database
  • Modeling
Toronto, ON
132 days ago
Nielsen Precima is a global strategy and analytics company that provides tailored, data-driven solutions that drive sales, boost profitability, and build customer loyalty. Leveraging our deep analytics expertise, Precima helps organizations improve their competitive position across all facets of planning and operations from assortment optimization, price optimization, promotional optimization, targeted marketing, and supplier collaboration.

This role is an integral part of the Merch Analytical Team. The successful candidate will have relevant retail industry experience and strong capabilities in statistical and mathematical modeling in advanced analytics applications. This role will have the opportunity to grow within the role and progress toward future career development objectives along a number of potential paths including a focus on deeper analyses and model development, client relationship management, and/or marketing. This role is key to ensuring that Precima delivers products/services and solutions that meet clients’ needs for tactics that increase sales and profits - and in an on-time/on budget capacity - which support client results and satisfaction and revenue retention/growth.

Create descriptive and predictive statistics, customer data tables, verification and cleaning data, producing accurate client reports and ensuring the quality of the data analysis produced. This includes the design, development, data extraction and analysis of retail client analytics.
Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations based off customer-centric data
Work in close collaboration with internal stakeholders, as well as external partners and suppliers to leverage customer level and/or item level data.
Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/segmentation and reporting
Hands-on data extraction and reporting off big customer database
Participate in special projects and ad-hoc as required

Master’s Degree Math/Statistics, Computer Science, Economics, Industrial Engineering
Minimum of 1-2 years of directly related work or intern experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives through a structured analysis - leading to insights and recommendations.
Experience within any of the following industries: retail, consumer packaged goods, banking, credit card, consulting, loyalty programs/CRM, agencies that focus on direct or analytical service. Experience in retail and/or CPG is strongly preferred.
Strong in statistical techniques and the willingness to learn and champion methodologies for customer analysis
Highly proficient in SQL and Python
Ability to translate business objectives into analytical plan/framework, conducting the analysis and interpreting data to derive insights and interpret results to develop and communicate recommendations to internal teams - and then to clients.
Ability to translate statistical and analytical results into clear written and verbal communication to internal/external stakeholders
Excellent ability to be part of multiple projects/initiatives of varying size and complexity, while simultaneously meeting and exceeding deadlines in a diverse environment
Strong team player and ability to work in a collaborative environment
Strong interpersonal skills including written and oral communication #LI-AK3

Nielsen Precima is a wholly-owned business unit of Nielsen. Nielsen Precima is a global strategy and analytics company that provides SaaS solutions for retail clients that drive sales, boost profitability, and build customer loyalty. Leveraging our deep analytics expertise, we help retail organizations improve their competitive position across assortment, price, promotional, targeted marketing, and supplier collaboration.

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

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