Product Data Analyst, Experimentation

BOLD is looking for Product Data Analyst who 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!

Job Description

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 a significant impact for our users & business. We also work closely with Business Intelligence, Data Engineering & Software Engineering teams to advance our data infrastructure. We have a cutting-edge AB Testing program, automation and advanced data tools to deliver high-quality analyses very efficiently.

WHAT YOU’LL DO

• 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.
  
  
  

WHAT YOU’LL NEED

• 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.
  
  
  

WHAT'S 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.
  
  
  

EXPERIENCE-

• Product Data Analyst- 2.5 years+
  
  
  

BENEFITS

Outstanding Compensation

• Competitive salary
• Tax-friendly compensation structure
• Bi-annual bonus
• Annual/bi-annual appraisal
• Equity in company
  
  
  

100% Full Health Benefits

• Group Mediclaim, personal accident, & term life insurance
• Group Mediclaim benefit (including parents' coverage)
• Practo Plus health membership for employees and family
• Personal accident and term life insurance coverage
  
  
  

Flexible Time Away

• 24 days paid leaves
• Declared fixed holidays
• Paternity and maternity leave
• Compassionate and marriage leave
• Covid leave (up to 7 days)
  
  
  

ADDITIONAL BENEFITS

• Internet and home office reimbursement
• In-office catered lunch, meals, and snacks
• Certification policy
• Cab pick-up and drop-off facility
  
  
  

About BOLD

We Transform Work Lives

As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

We Celebrate And Promote Diversity And Inclusion

We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.