Seeking Experienced Product Analyst

@Shrutibimpl

Hello There, As per my understanding you want a data driven framework to own your product metrics, track user journeys, and scale growth through a rigorous A/B testing culture. 1) Which analytics stack like Mixpanel, Amplitude, or PostHog are you currently using for event tracking? 2) Do you have an existing North Star metric defined or should we start with a full metrics hierarchy audit? I will turn your raw user data into a clear growth roadmap so you can stop guessing and start scaling. You will get a professional dashboard that highlights exactly where users are dropping off and which features are driving the most value for your business. This setup ensures every product decision you make is backed by hard evidence, giving you the confidence to focus your team on the initiatives that move the needle on your bottom line. I will build a robust metrics hierarchy consisting of your North Star and L1 supporting indicators, ensuring full alignment between user behavior and business goals. I will implement a detailed event tracking schema and work with your engineering team to validate data integrity across all platforms. Using a hypothesis driven approach, I will design and analyze A/B tests with statistical rigor, providing you with actionable insights and a standardized experimentation framework to optimize the entire product lifecycle. Best regards, Bharat Joshi

@vishal1145

Your metrics framework will fail if you're tracking vanity metrics instead of input drivers that actually move retention and activation. Most product teams confuse correlation with causation - they see a spike in signups but can't explain why conversion dropped 15% two weeks later. Before building dashboards, I need clarity on two things: What's your current event tracking coverage across critical user flows (onboarding, activation, core feature usage)? And are you running experiments without proper sample size calculations, or do you have a standardized testing framework that accounts for statistical power? Here's the analytical approach: - SQL + AMPLITUDE: Build cohort retention queries that segment users by activation behavior, then identify which Day 1 actions predict Day 30 retention above 40%. - A/B TESTING FRAMEWORK: Design experiment protocols with proper power analysis, guardrail metrics, and sequential testing to detect 5% lift in conversion without false positives. - NORTH STAR ALIGNMENT: Map L2 input metrics (feature adoption rate, time-to-value) to L1 KPIs (MRR growth, churn rate) using regression analysis to prove causality, not just correlation. - EVENT TRACKING VALIDATION: Audit existing tracking plans against user journey maps, flag missing events that create blind spots in funnel analysis, then work with engineering to implement schema standards. - HYPOTHESIS-DRIVEN ROADMAP: Translate qualitative user research into testable hypotheses, prioritize experiments using ICE scoring (Impact/Confidence/Ease), then run controlled tests that isolate variables. I've built metrics frameworks for 3 B2B SaaS products that scaled from 500 to 50K users. I don't just report numbers - I identify which levers actually drive growth versus which ones look good in executive decks but don't move the business. Let's schedule a 20-minute call to discuss your current analytics maturity and experimentation velocity before committing to a structure.

@oingato

Data tells the real story behind every product decision — and that’s where I bring value. I can help your team turn user behavior, product metrics, and experiment results into clear actions that improve growth and retention. I work confidently with SQL, Power BI, Python, Google Sheets, and analytics tools to build dashboards, analyze trends, track KPIs, and uncover insights that matter. I also understand A/B testing, event tracking, and product performance optimization. Beyond technical skills, I focus on asking the right questions, finding patterns fast, and helping teams make smarter product decisions with confidence.

@virendra895

I am season product owner/analyst and built end to end use case and ETE/UAT testing. I hve strong analytical mind and very good at SQL to interpresent the data.

@amitjha100898

Hello, I am an experienced AI/ML Engineer and Data Analyst with a strong background in SQL, data visualization, product metrics, and user behavior analysis. I have hands-on expertise in building dashboards, defining KPIs, and conducting A/B testing to drive product growth and optimization. Why I am a strong fit for this role: Metrics Ownership: Skilled in defining North Star, L1, and L2 metrics, ensuring clarity and consistency across product initiatives. User Behavior Analysis: Experienced in mapping user journeys, identifying friction points, and segmenting cohorts to uncover actionable insights. Event Tracking & Integration: Proficient in creating detailed tracking plans, validating event data, and maintaining documentation for reliability. Experimentation & A/B Testing: Strong knowledge of hypothesis-driven development, statistical significance, and experiment design. Technical Skills: Advanced in SQL, Power BI, Python, and analytics tools; capable of translating complex data into clear, actionable recommendations. I bring a data-driven mindset with the ability to connect product performance to business outcomes. My focus is on delivering measurable impact by optimizing user engagement, retention, and conversion. I am confident I can contribute effectively to your product team and help achieve growth-oriented goals. Looking forward to collaborating on this project. Best regards, Amit

@raomohit2001

Hello, To be completely transparent: I am entirely new to this freelancing platform, which is why my bid is priced well below market rate. By day, I am a Senior Product Analyst at American Express. I love my day job, but I’m expanding my horizons to help growing products scale their data maturity. Since I need to build up my platform reviews from scratch, you get corporate-grade analytical precision at an absolute bargain. Working at AmEx has drilled an uncompromising work ethic into me—data integrity is non-negotiable, deadlines are absolute, and I treat my freelance commitments with that exact same corporate discipline. Here is how I will optimise your product lifecycle: 1. Metric Hierarchy: Map your North Star to actionable L1 (growth/churn) and L2 (feature adoption/activation) input metrics so your team knows exactly which levers to pull. 2. A/B Testing Framework: Design rigorous experiment protocols with proper sample sizes and statistical power analysis to ensure clean, valid results. 3. Behaviour & Tracking Analytics: Audit your current event tracking layout, build clean tracking plans with your developers, and map user journeys to fix drop-offs. I am deeply proficient in SQL, Google Sheets, Amplitude, and building clean dashboards. Because I am building my portfolio, I am ready to over-deliver for you. Let's hop on a quick 10-minute chat to review your current analytics stack maturity. Best regards, Mohit