Product Analyst

Job Title: Product Analyst

Department: Product

Location :Bangalore

About Digital Green

Digital Green is a pioneer global not for profit organization, utilizing digital platforms and community-driven approaches to amplify the voices of smallholder farmers and improve their livelihoods. Our mission is to create a world where farmers use technology and data to build prosperous communities. By harnessing the power of technology, we facilitate knowledge sharing, capacity building, and market linkages, enabling farmers to adopt sustainable agricultural practices and increase their productivity and income.

We are dedicated to transforming the lives of under-served smallholder farmers worldwide through innovative technology solutions. Backed by leading philanthropic organizations such as the Bill & Melinda Gates Foundation (BMGF), Walmart Foundation, USAID, and UK Foreign, Commonwealth & Development Office (UKFCDO), we are committed to leveraging data and technology to empower smallholder farmers and strengthen agricultural extension systems.

Description

We are actively seeking a highly motivated and data-driven Product Analyst to become an integral part of our rapidly expanding mobile application team. In this pivotal role, you will serve as the analytical backbone of our product organization, responsible for transforming complex data into clear, actionable insights. These insights will directly inform and drive our product strategy, foster intelligent decision-making, and ultimately enhance the user experience across our mobile platforms. You will play a crucial role in understanding user behavior, identifying opportunities for growth, and ensuring our product development efforts are always data-informed and impactful.

• Product Analytics Mastery: Take ownership of the end-to-end data analysis lifecycle for all product features, user behavior patterns, and critical metrics within our mobile application. This includes everything from initial data collection and cleaning to in-depth analysis and the presentation of findings. You will be responsible for understanding how users interact with our app and identifying areas for improvement.
• Strategic Partnership & Collaboration: Work in close collaboration with Product Managers, engineers, designers, program teams and other cross-functional teams. Your insights will be essential in shaping the product roadmap, prioritizing features, and making informed decisions that align with business objectives and user needs. You will be a key voice in strategic product discussions.
• Experimentation & A/B Testing Expertise: Design, meticulously implement, and thoroughly analyze A/B tests and other experimental frameworks to validate hypotheses and measure the impact of new features or changes. You will be instrumental in establishing robust testing frameworks and best practices across the organization, fostering a culture of continuous learning and data-driven iteration.
• Data Infrastructure Management: Oversee and manage ETL (Extract, Transform, Load) processes, ensuring the seamless and accurate flow of data between our various data sources, the data warehouse, and our analytics tools. You will be responsible for maintaining the integrity and reliability of our data pipelines, which are crucial for accurate analysis.
• Actionable Insights & Reporting: Develop and maintain comprehensive dashboards, insightful reports, and compelling presentations that effectively communicate complex data findings to stakeholders at all levels of the organization, from individual contributors to executive leadership. Your ability to translate data into clear, actionable recommendations will be paramount.
• Metrics Definition & Tracking: Define, track, and consistently monitor key performance indicators (KPIs), critical success metrics, and overall product health indicators. You will establish the benchmarks and frameworks necessary to evaluate product performance and identify trends or anomalies.

Required Qualifications

• Exceptional Technical Skills:
  1. Advanced SQL and BigQuery Proficiency: Demonstrated expertise in writing complex SQL queries and advanced proficiency in BigQuery for large-scale data extraction, manipulation, and analysis.
  2. ETL and Data Warehouse Operations (Good to have) : Hands-on experience managing ETL processes and significant experience working with and maintaining data warehouse operations, ensuring data quality and accessibility.
  3. Strong Data Manipulation & Analysis: Proven ability to manipulate, analyze, and interpret large datasets with a high degree of accuracy and attention to detail, uncovering meaningful patterns and insights.
• Relevant Experience: 2-4 years of dedicated experience in product analytics, data analysis, or a similar quantitative role, with a strong preference for experience gained within the mobile or technology industry.
• Deep Product Mindset: A profound understanding of the entire product development lifecycle, from ideation to launch and post-launch optimization, coupled with a strong user-centric thinking approach to problem-solving.
• Proven Experimentation Experience: Demonstrated experience in designing, executing, and rigorously analyzing A/B tests and various experimentation methodologies to drive product improvements and validate hypotheses.
• Outstanding Communication Skills: The ability to translate complex technical data and analytical findings into clear, concise, and actionable recommendations for both technical and non-technical audiences, fostering understanding and driving informed decision-making.

Preferred Qualifications

• Mobile Analytics Platform Experience: Direct experience with leading mobile analytics platforms such as Firebase, Amplitude, Mixpanel, or similar tools, leveraging their capabilities to gain deeper insights into mobile user behavior.
• Statistical Analysis & Experimentation Methodologies: A solid understanding of statistical analysis principles and various experimentation methodologies, enabling more sophisticated data interpretation and robust test design.
• Data Visualization Tool Familiarity: Familiarity with popular data visualization tools like Tableau, Looker, or similar platforms, for creating impactful and easy-to-understand visual representations of data.
• Programming for Advanced Analytics: Proficiency in Python or R for performing advanced statistical analysis, predictive modeling, and automating data processing tasks.
• Startup Environment Experience: Prior experience working in a fast-paced, high-growth startup environment, demonstrating adaptability, resilience, and the ability to thrive with evolving priorities.

What You'll Bring

• Analytical Rigor & Attention to Detail: An unwavering commitment to analytical rigor, precision, and meticulous attention to detail in all data-related tasks, ensuring the highest quality of insights.
• Proactive Problem-Solving Approach: A self-starter mentality with a proactive and inquisitive approach to identifying problems, investigating root causes, and proposing effective, data-driven solutions.
• Autonomy & Prioritization: The ability to work effectively independently, manage multiple competing priorities, and deliver high-quality results within established deadlines without constant supervision.
• Passion for User Experience: A genuine passion for leveraging data to understand user behavior, identify pain points, and continuously improve the overall user experience and product satisfaction.

Compensation and Application Process:

Digital Green is a great place to work and prides itself on a competitive and comprehensive compensation and benefits package. Digital Green is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Please send your application along with an updated CV and a cover letter explaining your suitability for the position. All completed applications should be applied through or send your resume to

Join us at Digital Green and leverage your expertise in AI to transform agricultural practices and improve the livelihoods of smallholder farmers worldwide.