Senior Analytics Engineer to own Kit's sales and commerce data from end to end, building dbt models, dashboards, and semantic layer for sales and product teams.
Compensation
Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($172,000).
Responsibilities
Build and maintain dbt models for sales and commerce data
Lead strategy and execution for lifecycle and organic growth channels at KOHO, driving customer acquisition, activation, retention and contribution margin.
Compensation
The posted salary range for this role is $175,000 – $210,000 CAD / year.
Responsibilities
Own lifecycle and organic growth strategy, roadmap and targets
Lead lifecycle programs across onboarding, activation, cross‑sell, upsell, reactivation, retention and servicing
Set direction for organic acquisition across website, SEO, AI‑powered search, app store optimization and content
Apply lifecycle‑grade measurement to organic channels
Connect owned channels with paid, affiliates and product
The Senior Pricing Analyst supports Used Vehicle Sales, Pricing, and Inventory strategy through analytical insights and financial performance management.
Compensation
Competitive compensation and 401k matching
Responsibilities
Analyze operational data to identify trends and opportunities for improvement
Provide actionable insights to support decision-making for pricing and inventory management
Partner with cross-functional teams to align strategies and optimize processes
Facilitate collaboration between variable operations and departments such as marketing and sales
Develop and maintain reporting tools to monitor key performance indicators (KPIs)
Requirements
Bachelor's degree in Business Analytics, Data Science, Economics, or a related field
As a Business Intelligence Analyst for John Deere Financial, you will be responsible for developing, delivering and validating automated reports and dashboards in support of JDF’s credit operations using large volumes of financial data sets covering equipment financing.
Responsibilities
Assist with requirements gathering and ongoing stakeholder support across multiple John Deere Financial domains (Accounting, Customer Management, Collections, Litigation, Operational & Risk Analytics)
Build and maintain SQL queries in enterprise data platforms such as Databricks
Create analytic dashboards, craft visualizations and deliver automated reports with SAP Business Objects, SAP Web Intelligence and Excel
Learn extensively from senior team members and work with other BI analysts in a cooperative paired programming environment
Engage with data scientists, data engineers and data catalysts to design, build and support analytics solutions across the whole lifecycle
Requirements
Bachelor’s degree in Computer Science, Data Analytics, Data Science, Engineering, Mathematics, Statistics, or related fields
Develop and maintain machine learning and forecasting solutions for store, warehouse, and ATM systems.
Compensation
Year End Bonus: one month’s extra pay (pro-rated in the first year) each year if associate remains employed through issue date of the bonus check that year.
Responsibilities
Develop and maintain machine learning and forecasting solutions using Python and SQL
Build scalable ML and data pipelines using Databricks, Spark/PySpark, and Delta Lake
Develop automated deployment processes using Databricks Asset Bundles (DABs) and CI/CD
Partner with data scientists, cloud engineers, and business teams to produce demand forecasting models
Monitor model and pipeline performance and troubleshoot production issues
Requirements
Bachelor’s degree in computer science or another analytical discipline, or equivalent experience
Especialista focado em produtos de Inteligência Artificial, liderando iniciativas desde o discovery até a implantação e operação em produção.
Responsibilities
Definir e sustentar a visão, a estratégia e o roadmap de produtos de Inteligência Artificial, traduzindo problemas de negócio e necessidades dos clientes em hipóteses, objetivos, OKRs, épicos, features e critérios de sucesso, para maximizar valor, adoção e alinhamento ao portfólio corporativo
Liderar o discovery e o delivery de produtos de Inteligência Artificial de ponta a ponta, articulando usuários, áreas de negócio, Ciência de Dados, Engenharia, Arquitetura, Segurança, Jurídico, Privacidade, UX e fornecedores, para transformar hipóteses em soluções escaláveis, confiáveis e integradas aos processos da companhia
Gerenciar e priorizar o backlog com base em valor, risco, esforço, dependências e evidências, conduzindo PI Planning, refinamentos, reviews e decisões de trade-off, para garantir previsibilidade, evolução contínua e geração incremental de resultados
Estabelecer a governança do ciclo de vida dos produtos de Inteligência Artificial, contemplando qualidade e linhagem de dados, avaliação de modelos e LLMs, métricas de precisão e experiência, vieses, explicabilidade, segurança, privacidade, monitoramento, custos e resposta a incidentes
Exercer liderança técnica e influência organizacional, apoiando o desenvolvimento de Product Owners e demais profissionais, facilitando decisões em cenários de conflito e ambiguidade e comunicando resultados em fóruns executivos
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