2 Statistical Significance Jobs

Role: Lead Product Analyst Location: Noida and Bangalore Job Overview: We are looking for a Lead Product Analyst to join our dynamic product team and take ownership of driving data-led product strategies and insights across multiple product lines. The ideal candidate will lead analytical initiatives, influence product direction through actionable insights, and mentor a team of analysts while closely partnering with cross-functional stakeholders. This is a strategic role designed for someone who can bridge data with business and product vision to drive measurable impact. Key Responsibilities: Strategic Data Analysis & Reporting Lead end-to-end product analytics to evaluate product performance, identify key trends, and recommend actionable improvements. Design and maintain advanced dashboards and reports using tools like Excel, SQL, Python, BigQuery, Power BI, and Google Analytics (GA4). Define and track KPIs aligned with business goals; proactively surface opportunities and risks. Advanced Market & User Research Drive in-depth market and competitor research to inform product strategy. Synthesize customer feedback, usage data, and behavioral signals to uncover user needs and pain points. Stay ahead of industry trends, benchmarks, and innovations in analytics and digital product strategies. Product Strategy & Development Support Partner with product managers to define and refine product roadmaps through data-driven insights. Lead development of user stories, success metrics, and A/B test strategies. Guide experimentation and validation plans (e.g., cohort analysis, retention studies, funnel analysis, heatmaps). Project Leadership & Stakeholder Management Manage cross-functional analytics initiatives and ensure timely delivery of insights to product, tech, and business teams. Support key decision-making across the product lifecycle from ideation to post-launch optimization. Ensure consistent documentation, visibility, and prioritization of analytics tasks. Team Leadership & Collaboration Mentor junior analysts and contribute to establishing best practices for the analytics function. Act as a data evangelist across the company, promoting a culture of evidence-based decision-making. Present high-impact insights and product recommendations to senior leadership and executive stakeholders. Qualifications: Education: Bachelor&aposs or Masters degree in Business, Engineering, Economics, Statistics, Computer Science, or a related field. Experience: 5+ years of experience in product analytics, with at least 2 years in a lead or senior role . Proven success in influencing product decisions through analytics at a high-growth or product-first company. Technical Skills: Advanced proficiency in tools such as Excel, SQL, Power BI/Looker Studio, Python or R, BigQuery, and GA4. Hands-on experience with tools like Firebase, GTM, and data visualization/BI platforms. Strong knowledge of experimentation frameworks including A/B testing, hypothesis testing, and statistical significance. Deep understanding of product funnels, acquisition sources, user retention, and behavioral analytics. Product & Analytical Skills: Demonstrated ability to generate insights and influence product strategy. Proficient in funnel analysis, cohort studies, churn and retention metrics, segmentation, and user flow mapping. Show more Show less

As a Senior Data Analyst on the Patient Experience Platform team at Commure, you will play a crucial role in transforming data into actionable insights that will shape the future of patient engagement. Your primary responsibility will be to analyze both structured and unstructured data to identify trends in patient behavior, satisfaction, and engagement across the platform. By working closely with product, clinical, and engineering teams, you will drive data-informed decisions that aim to enhance the overall healthcare journey for patients. Key Responsibilities: - Analyze data to uncover trends in patient behavior, satisfaction, and engagement on the platform. - Define, track, and report on key performance indicators (KPIs) related to patient experience, platform adoption, Net Promoter Score (NPS), Customer Satisfaction (CSAT), and clinical outcomes. - Collaborate with stakeholders to support experimentation, feature evaluation, and user behavior analysis through A/B testing. - Design and maintain dashboards and self-service analytics tools to effectively communicate insights to business and clinical teams. - Ensure accurate and consistent data capture across the platform, working closely with product managers and engineers. - Support efforts to improve data quality, integrity, and accessibility from various sources such as Electronic Health Records (EHRs), surveys, and engagement tools. - Translate complex data into compelling stories that inform decision-making and help prioritize product enhancements. - Maintain compliance with HIPAA and other healthcare data privacy and security standards. - Mentor junior analysts and promote a data-driven culture within the organization. - Drive initiatives to enhance data governance practices, ensuring data accuracy and consistency. - Lead the analysis of A/B test results to guide product and User Experience (UX) optimizations. - Contribute to creating reports and presentations for senior leadership summarizing insights and recommending actions. Requirements: - Bachelors or Masters degree in Data Science, Statistics, Public Health, Computer Science, or a related field. - 3+ years of experience in data analysis, preferably within healthcare or digital health technology. - Proficiency in SQL and at least one analytical programming language (Python or R). - Experience with Business Intelligence (BI) tools such as Looker, Tableau, Power BI, or similar. - Strong understanding of behavioral and product analytics including funnel analysis, cohort analysis, retention, and segmentation. - Familiarity with healthcare data formats such as HL7, FHIR, EMR/EHR data, HCAHPS, and CAHPS. - Experience working with cloud data warehouses like BigQuery, Snowflake, Redshift, or Clickhouse. - Knowledge of A/B testing methodologies and statistical significance. - Excellent data storytelling, communication, and collaboration skills. - Passion for improving healthcare experiences through data and technology. - Experience with predictive analytics or machine learning models is a plus. - Familiarity with data visualization best practices to present complex findings in an easily digestible format. - Knowledge of data privacy regulations including GDPR, in addition to HIPAA. - Ability to work with large-scale datasets and experience in data wrangling.,