• Analyze e-commerce, loyalty, behavioral and transactional datasets • Translate findings into clear, actionable recommendations • Build dashboards and reporting layers (Looker, Power BI). • Design and implement ML models (churn, segmentation, forecasts, scoring) • Deliver at least one end-to-end ML solution into production (your experience will be strongly valued) • Work with MLOps patterns on GCP (BigQuery, Vertex AI, Cloud Run, pipelines). • Lead analytical conversations with customers • Present insights, defend your recommendations, and translate tech into business • Collaborate with data engineers and business teams to shape the full solution • Participate in workshops, scoping sessions, and pre-sales when needed.

• Partner with stakeholders to understand business questions and support reporting needs • Help maintain dashboards and KPIs • Build, update, and maintain dashboards and reports in Domo for business stakeholders • Assist with trend analysis and performance monitoring • Support forecasting, planning, and recurring reporting processes • Provide clear, well-documented analyses that support business decision-making • Participate in requirement gathering sessions and stakeholder check-ins • Collaborate with other analysts, analytical engineers, and data engineers for accurate reporting

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a proactive, intellectually curious Data Analyst to support the Finance, Strategy, and Executive teams. In this role, you will partner closely with leaders across the organization to analyze subscription performance, unit economics, and operational efficiency, and to inform strategic and financial decision-making. - Lead analyses across payments, cash receipts, subscription retention, pricing, and customer lifetime value. - Develop scalable forecasting and reporting frameworks. - Build self-serve analytics tools that enable stakeholders to monitor performance and evaluate trade-offs. - Translate complex subscription data into clear, actionable insights that guide planning, strategic decisions, and execution in a fast-paced, metrics-driven environment. Responsibilities - Analyze subscription performance and economics: - Conduct deep-dive analyses of subscriber acquisition, conversion, retention, and churn to understand and improve the health of the subscription business. - Forecasting and planning: - Build and maintain forecasting models for subscribers, cash, and revenue to support strategic planning. - Define and track success metrics: - Establish and refine KPIs that measure the health of the subscription business and define success for the company. - Build self-serve reporting tools and dashboard: - Create and maintain automated dashboards and reporting tools that enable business partners to monitor business health and explore data independently. - Translate data into insights: - Synthesize complex analyses into clear, actionable insights and recommendations that inform leadership decisions and improve revenue growth, retention, and profitability. - Communicate findings clearly: - Present results and recommendations to a broad range of stakeholders in a concise, compelling, and accessible way. - Influence business reviews: - Shape weekly and monthly business reviews with executive stakeholders, ensuring the right metrics and insights inform decisions on growth, retention, and profitability. Qualifications - 6+ years of experience in a product analytics, data analytics, or related role supporting subscription-based businesses. - Ability to conduct exploratory data analyses and synthesize complex datasets and ambiguous questions into clear, actionable insights. - Advanced proficiency in SQL for querying large datasets; experience with data transformation and modeling (e.g., dbt) is a plus. - Extensive experience with a BI tool such as Omni, Looker, or Lightdash. - Ability to perform statistical analyses and create visualizations using R or Python; experience with forecasting, cohort analysis, or financial modeling is a plus. - Bachelor’s or Master’s degree in a quantitative field (e.g., statistics, applied math, data science, economics, computer science, or related discipline). - Curious, motivated self-starter who thrives in a collaborative, high-performing environment and values high-quality, thoughtful analysis. Requirements - Experience in product analytics, data analytics, or related roles. - Technical skills in SQL and BI tools. - Statistical analysis capabilities using R or Python. - Education in a quantitative field. Benefits - 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums. - A 401(k) program with employer match. - 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year. - Flexible work culture with options for hybrid or fully remote work.

Role Description A Data Analyst interprets data and turns it into actionable insights to improve business decisions. The analyst gathers information from various sources, applies statistical analysis and data modeling, and reports findings through dashboards and visualizations to business stakeholders. - Design and develop data pipelines and ETL processes using Apache Airflow and Google Cloud Dataflow - Extract and analyze large datasets from relational databases (BigQuery, Redshift, Oracle, Teradata) using SQL - Perform data analysis using Python and SQL with advanced statistical methods - Create data visualizations using Tableau, Power BI, or R-Shiny - Conduct hypothesis testing and A/B testing for business insights - Use Git for version control and collaborative development - Optimize database queries and create views across multiple tables - Report analytical findings to business stakeholders Qualifications - Bachelor's degree in quantitative field (Statistics, Computer Science, Data Science, or related) - 5+ years of experience in data analysis - Proficiency in Python and SQL - Experience with Apache Airflow for workflow orchestration - Experience with Google Cloud Dataflow and ETL processes - Experience with relational databases (BigQuery, Redshift, Oracle, or Teradata) - Proficiency with data visualization tools (Tableau, Power BI, or R-Shiny) - Experience with Git version control - Knowledge of statistical analysis and hypothesis testing Company Description We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit: Confiz LinkedIn