Senior Analytics Engineer

• About The Personal Development School
• The Personal Development School (PDS) is a leading online learning platform dedicated to helping people improve their emotional well-being, relationships, and personal growth through education based on attachment theory.
• We are looking for a Senior Analytics Engineer to lead our analytics infrastructure and help transform data into meaningful business insights. This role combines data engineering, analytics, and AI-powered problem-solving to support strategic decision-making across the organization.
• You'll work closely with Marketing, Product, Sales, Finance, Customer Success, and Leadership to build reliable data solutions, automate reporting, and uncover insights that drive business growth.

• Key Responsibilities
• Design, build, and maintain scalable ETL/ELT pipelines and modern data architectures.
• Build, optimize, and maintain our analytics platform using Google BigQuery, dbt, and Google Cloud Platform (GCP).
• Develop scalable data models and semantic layers that serve as the organization's trusted source of truth.
• Build interactive dashboards and self-service reporting using Looker Studio.
• Partner with stakeholders to translate business requirements into scalable analytics solutions.
• Analyze customer acquisition, conversion, engagement, retention, churn, revenue, and operational performance to identify trends and business opportunities.
• Ensure data quality, governance, lineage, and documentation through testing, monitoring, and validation.
• Optimize pipelines and queries for performance, reliability, scalability, and cost efficiency.
• Build and maintain automated deployment workflows (CI/CD) for analytics and data products.
• Troubleshoot data issues, perform root cause analysis, and implement long-term solutions.
• Identify opportunities to leverage AI and automation to improve analytics, reporting, forecasting, and business decision-making.
• Promote analytics best practices and foster a data-driven culture across the organization.

Qualifications

• Required
• 5+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or a similar role.
• Advanced SQL and Python skills.
• Hands-on experience with Google BigQuery and Google Cloud Platform (GCP).
• Experience building data transformation workflows using dbt.
• Experience with workflow orchestration tools such as Airflow or Cloud Composer.
• Strong understanding of data warehousing, dimensional modeling, and modern analytics architecture.
• Experience developing dashboards and reports using Looker Studio or similar BI platforms.
• Experience designing, optimizing, and maintaining scalable ETL/ELT pipelines.
• Strong query optimization, troubleshooting, and analytical problem-solving skills.
• Experience with Git and CI/CD practices.
• Excellent communication skills with the ability to present technical findings to non-technical stakeholders.
• Experience working in Agile environments and collaborating with cross-functional teams.
• Nice to Have
• Experience working with subscription, SaaS, or e-learning businesses.
• Experience integrating data from platforms such as Google Analytics 4, Google Ads, Meta Ads, Stripe, HubSpot, Thinkific, ActiveCampaign, or similar SaaS applications.
• Experience analyzing customer lifecycle metrics including CAC, LTV, retention, churn, and recurring revenue.
• Experience with experimentation, A/B testing, and statistical analysis.
• Experience with real-time data pipelines or streaming technologies.
• Experience using AI-powered analytics, machine learning, or generative AI to automate reporting, generate insights, improve forecasting, or enhance business decision-making is highly preferred.
• Familiarity with AI tools such as ChatGPT, Gemini, Claude, GitHub Copilot, or similar technologies to improve analytics workflows and productivity.

• Success in This Role
• Build a reliable, scalable, and well-documented analytics platform.
• Improve data quality, governance, and accessibility across the organization.
• Automate reporting and reduce manual processes.
• Deliver dashboards and insights that become the foundation for business decision-making.
• Identify opportunities that improve customer acquisition, retention, operational efficiency, and revenue.
• Help establish a culture where decisions are driven by trusted, actionable data.

• What We Offer
• Performance-based bonuses.
• Health insurance.
• Fully remote work with flexible working hours.
• Professional development opportunities, including complimentary access to Personal Development School courses.
• A collaborative, supportive, and mission-driven team where you'll have a direct impact on business growth.

Pay : $85000 to $100000