Come work with us to do what you love and stay for the Frontier TRACK … Team Centric : We each take responsibility for fostering an environment of personal and professional growth. We are eager to help, support and collaborate with one another recognizing that we are better when we work together. Respectful and Inclusive : We treat everyone the way we want to be treated and accept everyone on the team just as they are. Autonomous and Accountable : We are entrusted with and given the space to do our work and in turn hold ourselves accountable for results. Committed to Excellence : We are fueled by the desire to be our best and to make an impact now and tomorrow. Keep it Real : We lead with integrity and genuineness in our work, interactions and relationships. We’re looking for a hands‑on Senior Data Analyst who will own our end‑to‑end analytics process – from data collection and preparation to insight delivery – turning raw data into actionable strategies that improve customer retention and drive business growth. Key Responsibilities Sales & Business Insights ML/AI – Apply machine learning and AI to accelerate decision‑making and identify opportunities for increased revenue: customer segmentation, churn/retention propensity, next‑best‑offer and promo uplift modeling, demand/forecast refinement, price elasticity insights, and anomaly detection for sales operations. Insight generation – Analyze sales trends, customer behavior, and market data to identify opportunities for increased revenue. Campaign analysis – Evaluate the performance of marketing campaigns and promotional initiatives, providing data‑driven recommendations to maximize ROI and customer engagement. Forecasting & strategy – Partner with sales and marketing leadership to develop data‑informed sales forecasts, pipeline analyses, and pricing strategies that drive growth and operational efficiency. Cross‑functional collaborator – Work closely with teams across the organization (sales, marketing, purchasing, etc.) to understand business needs, manage stakeholder expectations, and ensure that insights are translated into actionable business decisions. Data Analysis & Reporting Data wrangler – Leverage data from multiple sources (e.g. ERP, CRM, web analytics, etc.) to create a single source of truth for analysis. Dashboard & reporting – Design and maintain interactive dashboards and reports (using tools like Power BI or similar) to monitor key performance indicators and communicate trends to stakeholders in real time. Pipeline automation – Develop and automate reliable ETL/ELT workflows using SQL and Python scripts to ensure timely availability of accurate data for analysis. Data quality & governance – Implement data validation checks, documentation, and version control to uphold data integrity, security, and compliance with governance standards. Technical Skills Experience: 5+ years in data analysis, business intelligence, or a related analytics field, preferably in a fast‑paced or high‑growth ecommerce environment. End‑to‑end analytics: Demonstrated success owning analytics projects from start to finish – from gathering business requirements and extracting data to building dashboards and presenting insights that influenced key decisions. Ecommerce domain knowledge: Proven experience working with sales and customer data to produce insights that improved customer retention, guided revenue growth, or informed successful sales/marketing strategies. SQL & Python: Expertise in writing complex SQL queries for data extraction and transformation, along with proficiency in Python for data analysis and automation (e.g. using pandas, NumPy, or scripting ETL workflows and other statistical libraries). Data visualization: Hands‑on experience with modern BI tools, especially Power BI (or similar platforms like Tableau/Looker), to create interactive dashboards and reports. Ability to craft insightful data visualizations and DAX measures (if using Power BI) is a strong plus. Data ecosystem: Familiarity with cloud‑based data warehouses and tools (AWS, Azure, or GCP ecosystems) and comfort working with large datasets. Knowledge of data modeling and data pipeline frameworks (dbt, Airflow, etc.) is advantageous. Strategic mindset: Ability to translate high‑level business objectives into analytical questions, and to interpret data findings in the context of business strategy. Demonstrated skill in communicating actionable recommendations to both technical and non‑technical stakeholders. While experience with the tools listed is a plus, we strongly encourage applicants with expertise in comparable technologies to apply. Relevant industry certifications are a plus – for example, AWS or Azure cloud certifications, or data platform certifications like Fabric, Snowflakes or Databricks. Seniority level Not Applicable Employment type Full‑time Job function Information Technology Industries Retail Referrals increase your chances of interviewing at Frontier Dental CA by 2x Get notified about new Data Analyst jobs in Markham, Ontario, Canada . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
A dental supply company in Markham seeks an Analytics Data Engineer. This role requires building and managing data pipelines, ensuring data governance, and collaborating with teams to deliver actionable insights. Candidates should have 5+ years of experience in data engineering, strong SQL and Python skills, and familiarity with cloud platforms. Competitive compensation and benefits included, with on-site work expected.
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Analytics Data Engineer Join to apply for the Analytics Data Engineer role at Frontier Dental CA. Must be willing to work on-site in Markham office 5 days/week Come work with us to do what you love and stay for the Frontier TRACK … Team Centric: We each take responsibility for fostering an environment of personal and professional growth. We are eager to help, support and collaborate with one another recognizing that we are better when we work together. Respectful and Inclusive: We treat everyone the way we want to be treated and accept everyone on the team just as they are. Autonomous and Accountable: We are entrusted with and given the space to do our work and in turn hold ourselves accountable for results. Committed to Excellence: We are fueled by the desire to be our best and to make an impact now and tomorrow. Keep it Real: We lead with integrity and genuineness in our work, interactions and relationships. We’re seeking an Analytics Data Engineer to help shape the future of dental supply distribution through data-driven innovation. Key Responsibilities We’re looking for a hands‑on Analytics Data Engineer who will own our end‑to‑end data stack – building and tuning data warehouse, automating reliable SQL/Python ELT pipelines, and delivering analytics and semantic models for dashboards and AI/ML use cases, while maintaining strong data‑quality and governance standards. Hands‑on data strategy lead – Translate business goals into an actionable roadmap for modern data warehousing, governed data pipelines, and scalable infrastructure. Data‑warehouse – Architect, build, and continuously tune our data lakehouse architecture, ensuring high availability, cost‑efficiency, and strong performance across all teams. Pipeline builder – Design, automate, and monitor ELT workflows using SQL and Python, with comprehensive testing and alerting to guarantee accuracy and availability. Governance & quality – Implement version control, data lineage tracking, and access policies; enforce data SLAs and lead root‑cause analysis to uphold data integrity and compliance. Integration specialist – Connect and integrate data from various enterprise systems (including CRM and ERP platforms such as HubSpot, Acumatica, RingCentral) into the data platform, ensuring a unified, analytics‑ready data model. Analytics Analytics enabler – Build and maintain Power BI semantic models, dashboards, and self‑serve tools that turn raw data into actionable insights for business stakeholders. AI/ML facilitator – Collaborate with the data Team to prepare clean, usable feature sets and deploy predictive models that drive revenue, operational efficiency, and customer value. Cross‑functional collaborator – Collaborate with stakeholders to resolve data issues, and promote agile, insight‑driven decision‑making. Qualifications & Experience 5+ years experience in data engineering, analytics, or a related field. End‑to‑end ownership: Demonstrated success owning end‑to‑end data pipelines and business intelligence assets in a high‑growth, fast‑moving organization (e.g., building ETL workflows and delivering BI dashboards). Data & AI projects: Experience partnering with data science teams to deploy predictive or generative AI models (leveraging Python‑based ML frameworks or cloud AI services) that lifted revenue and reduced operational costs. Modern data stack: Deep understanding of modern data stack technologies and cloud platforms (AWS or Azure), including hands‑on experience with AWS managed services such as S3, AWS Lake Formation, Glue, EMR, EC2, AWS Lambda, Athena, and comparable Azure data services. Security & governance: Strong background in data security and governance – implementing data encryption, access controls/roles, and data lineage tracking (familiarity with tools like AWS Lake Formation or Azure Purview for data cataloging is a plus). SQL & Python expertise: Expert at writing analytical SQL (in databases or warehouses like PostgreSQL, MySQL, Snowflake, or Amazon Redshift) and building ELT jobs in Python (using frameworks like dbt, Apache Airflow, or AWS Glue). Able to create complex DAX measures in Power BI and design robust data pipelines that scale. Strategic execution: Demonstrated ability to turn strategic business objectives into a concrete plan for data warehousing, governed analytics, and practical AI/ML deployment (for example, aligning cloud data platforms and machine learning services like AWS SageMaker or Azure ML with business goals). Cloud data warehousing: Skilled at architecting, implementing, and continuously optimizing scalable cloud data warehouses (for example, solutions on Snowflake, Amazon Redshift, or Databricks Lakehouse) to keep high‑quality, analytics‑ready data flowing to the business. System integration: Experience integrating data from CRM and ERP systems (e.g., HubSpot CRM, Acumatica ERP) via APIs or connectors, merging these data sources into a unified analytics platform. Relevant industry certifications are a plus – for example, AWS or Azure cloud certifications, or data platform certifications like Snowflake or Databricks. Why join us? (Brace yourself…) We offer competitive compensation Extended Health and Dental Benefits Plan (100% Employer‑paid Premiums on eligible benefits) Continuous Learning Assistance Program reimbursing up to $1,500 per calendar year Group RRSP (Non‑match) 15 Vacation Days to start and scale to 20 Vacation Days. Flexibility to help you balance work and life Supportive leadership team and Culture Committee that works to maintain a positive culture Competitive yet collaborative work environment Fully stocked snacks, team BBQs and other company paid meals (we love to eat!) Frontier Dental uses an automated Applicant Screening Tool to assist in reviewing applications. This tool evaluates candidates based on job‑related criteria, including skills, experience, and qualifications listed in your application materials. You may request an alternative, non‑automated assessment or an explanation of how the evaluation was conducted by contacting All notices and candidate requests will be documented for compliance purposes. Job Details Seniority Level: Not Applicable Employment Type: Full‑time Job Function: Information Technology Industries: Retail Referrals increase your chances of interviewing at Frontier Dental CA by 2x. 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A dynamic retail company in Markham is looking for a hands-on Senior Data Analyst to own the end-to-end analytics process. This role focuses on utilizing machine learning and data visualization to drive business growth and improve customer retention. The ideal candidate should have over 5 years of experience in data analysis, expertise in SQL and Python, and proficiency in BI tools like Power BI. This full-time position offers an opportunity to significantly impact data-driven strategies within the company.
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