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BOLD is looking for a Senior Product Data Analyst to provide critical insights to business partners and strategic support to the executive team. You will play a key role in monitoring business performance and developing metrics and reporting tools to keep the organization informed. Through high-quality analysis and attention to detail, you will become the go-to expert for product performance and insights. The ideal candidate is highly motivated and will use their technical skills and business acumen to make a meaningful impact.

Job Description

About this Team

The Analytics team is responsible for generating actionable insights and analyses for the business, conducting A/B testing, enabling data-driven decision-making, and supporting the Product, Marketing, and Finance teams to drive significant impact for our customers and the company. We also collaborate closely with the Business Intelligence, Data Engineering, and Software Engineering teams to enhance our data infrastructure. Our advanced A/B testing program, automation, and data tools enable us to deliver high-quality analytics efficiently.

Responsibilities

  • Conduct in-depth analysis to identify opportunities for product improvement.

  • Work closely with business partners to extract meaningful insights from various data sources, including relational databases, front-end analytics tools, and clickstream data.

  • Present insights and recommendations to executive leadership using clear visuals and concise messaging.

  • Design and analyze A/B tests to drive KPI improvements.

  • Develop dashboards to support business decisions with a focus on automation and scalability.

  • Collaborate with engineering teams to enhance data infrastructure and governance.

Qualifications

  • 5+ years of experience performing quantitative data analysis, preferably in the internet or technology sector.

  • Expertise in writing complex SQL queries to support critical business decisions.

  • Strong understanding of statistics and the ability to explain statistical concepts to non-technical audiences.

  • Self-starter with a strong desire to learn and the ability to quickly grasp business drivers.

  • Proficiency in Python or R.

  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.

  • Experience as a Senior Product Data Analyst (4.5+ years preferred).

Benefits

Competitive Compensation

  • Attractive salary package

  • Tax-friendly compensation structure

  • Biannual bonuses

  • Annual/biannual performance appraisals

  • Equity in the company

  • Full health benefits coverage

Comprehensive Insurance

  • Group Medi-Claim, Personal Accident, and Term Life Insurance

  • Group Medi-Claim benefit (including parent coverage)

  • Practice Plus Health membership for employees and their families

  • Personal Accident and Term Life Insurance coverage

Flexible Time Off

  • 24 days of paid vacation

  • Public holidays

  • Maternity and paternity leave

  • Compassionate and marital leave

  • COVID leave (up to 7 days)

Additional Perks

  • Internet and home office expenses covered

  • Office-provided meals, snacks, and lunch

  • Certification sponsorship

  • Cab pickup and drop-off facility

About BOLD

We transform work life. As a globally established organization, BOLD helps people secure employment by building digital products that empower millions in 180 countries to create compelling resumes, cover letters, and CVs. Our work enables individuals to approach job interviews with confidence and find the right opportunities faster. Our team consists of experts, learners, collaborators, and creators dedicated to making a difference.

Diversity and Inclusion

At BOLD, we celebrate and promote diversity and inclusion. We are proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs. We do not discriminate based on race, color, religion, gender, pregnancy, national origin, citizenship, ancestry, age, physical or mental disability, veteran status, orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

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