Data Analyst

Overview

• Dentira is one of the fastest-growing, profitable healthcare startups revolutionizing clinic operations across multiple countries. Our flagship product transformed dental procurement by introducing the world’s first real-time price and product comparison engine for dental supplies across the US, Canada, Australia, and New Zealand. Building on this success, our Lab Platform seamlessly connects clinics, intraoral scanners, and dental labs to streamline workflows and improve efficiency. We are also leveraging advanced AI technologies to solve complex challenges such as Automatic Invoice Reconciliation and procedure cost prediction across multiple healthcare verticals. As we continue to scale rapidly, our goal is to achieve 10X growth in the next 3 years.

Responsibilities:

• The Data Analyst will leverage data on our users to build dashboards, answer key business questions, and tell compelling stories.
• Conduct in-depth analyses of our data, report on key metrics, and provide recommendations that will have a direct impact in shaping future product development and company initiatives.
• Be constantly curious and continue to pursue in-depth explorations of our datasets.
• Work with Product Managers and Engineers to uncover new business opportunities and better understand the levers of the business.
• Support new product launches, A/B testing, ramp-up recommendations, and root cause investigation.
• Leverage new techniques to investigate our data and incorporate external information to boost our knowledge of this market.
• Communicate complicated data findings in a clear and concise manner to our multi-disciplined teams.
• Collaborate with stakeholders including product, marketing, finance, etc. on initiatives that improve our company-level KPIs and match our business priorities.
• Perform intensive investigation and analysis of data anomalies and determine root causes.
• Ad-hoc analysis to address urgent high-impact analysis for business stakeholders.
• Build and maintain Python-based data pipelines and automation scripts to support recurring reporting and analytical workflows.
• Apply data science and machine learning techniques to solve business problems, generate predictive insights, and identify patterns in large datasets.

Qualifications:

• Bachelor’s or Master’s degree in Statistics, Applied Mathematics, Computer Science, or equivalent experience.
• 3+ years of Business Analysis or Data Analysis experience.
• Must have — Proficiency in SQL and/or other data query languages.
• Strong hands-on experience with Python for data analysis, automation, and building ETL pipelines (pandas, NumPy, SQLAlchemy, etc.).
• Familiarity with Product Analytics — understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, and funnel analysis.
• Experience with data science and machine learning techniques (regression, classification, clustering, time series, etc.) to derive actionable insights and build predictive models.
• Familiarity with ML frameworks such as scikit-learn, XGBoost, or similar libraries.
• Automate reporting via SQL and Python-based ETL frameworks.
• Use of data mining techniques to extract information from data sets and identify correlations and patterns to help build and improve our products.
• The ideal candidate is an intelligent, sharp, detail-oriented, and highly quantitative individual who loves working with and analyzing data.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent communication skills — ability to translate complex analytical findings into clear, actionable insights for non-technical stakeholders.