Product Data Analyst - (Experimentation)

Job Description

Position Overview: About this role: This role will provide critical insights from our A/B Testing program to business partners. You will also have your fingers on the pulse of the business and develop metrics and reporting to keep the organization informed. Through your high-quality analysis and attention to detail, you will be the go-to person for experimentation(A/B test) analytics and insights. The ideal candidate is highly motivated and will use their technical skills and business acumen to quickly make an impact! About this Team: Analytics team is responsible for generating actionable insights & analyses for the business, AB testing, data driven decision making and supporting Product, Marketing & Finance teams to create significant impact for our users & business. We also work very closely with Business Intelligence, Data Engineering & Software Engineering teams to advance our data infrastructure. We have a cutting edge AB Testing program, automations and advanced data tools to deliver high quality analyses very efficiently. Company Overview: BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America (and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities: Conduct in-depth A/B test analysis to uncover opportunities for improving our products. Ensure data quality/accuracy in our A/B test reports. Develop new A/B Test reports and improve the existing ones. Present your A/B Test insights and recommendations to business leaders. Provide support to other analysts in their A/B test analysis/insights. Required skills: 2+ years’ experience performing quantitative data analysis on A/B tests, preferably for an internet or technology company. Expertise in managing large Google Sheets (querying, other advanced aspects). Excellent written and verbal communication skills, especially around complex project areas. Impeccable attention to detail and data accuracy Ability to write complex SQL queries to drive critical business decisions and reports. Robust understanding of Statistics with ability to explain statistical concepts to non-technical audiences. Bachelors or Masters’ degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence. Self-starter with a desire to learn and the ability to rapidly understand the business and its drivers. Ability to handle multiple projects and meet deadlines in a fast-paced environment. Additional skills (Good to have): Proficiency with BI tools such as Tableau, Looker, or equivalent. Proficiency in Python/R. Experience with Google Analytics, MixPanel or other front-end analytical platforms. Experience with building machine learning/predictive models. Qualifications: Engineering/ Master’s Degree from a good Institute (preferably Computer Science or related) Experience required: Product Data Analyst: 2 years+ of experience performing quantitative data analysis on A/B Tests Location: Noida (Hybrid working model)