Data Analyst

We’re looking for a hands-on 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.

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 careers@frontierdental.com. All notices and candidate requests will be documented for compliance purposes.

Job Type: Full-time

Pay: $70,000.00-$90,000.00 per year

Benefits

• Casual dress
• Company events
• Dental care
• Employee assistance program
• Extended health care
• On-site parking
• Paid time off
• Tuition reimbursement
• Vision care
• Wellness program

Work Location: In person