Product Analyst Intern

3 months ago

Singapore Wego Full time

As a product analyst intern at Wego, you will work closely with Product Managers and help conduct a range of data-driven analysis including customer research, competitive analysis, gap analysis, feature comparison, market analysis, technology analysis, among others. Reports will drive decision-making for our product roadmap. You will have access to company-wide statistics, follow developments in the travel sector and utilise various tools and information services to work with data. Specifically, you will have a chance to learn and work with some of the best datasets & tools for business analysis including AppAnnie and Similarweb for competitive analysis; Google Analytics, Appsflyer and Apsalar for internal analytics; BigQuery, Tableau and Looker for data collection and visualisations among others. 

This is a key learning opportunity in shaping how our products respond to user behaviour, and in shaping both the tactical and strategic decisions made. The role requires someone with strong logic skills, with the ability to see a problem from multiple angles a key competency.

If you love creating products from insights, connecting the dots and discovering trends to see the real story behind numbers, all the while working in a casual start-up atmosphere, we would like to invite you to join our product team.

Preferred Job Skills: while none of the skills below are strictly required and you will certainly have a chance to expand your expertise in all of them, a pre-existing familiarity with any of the below is preferred:

• Product strategy: Critically analyse products in various markets, competition, opportunities

• Product analytics: Analyze funnel conversion, A/B test performance, and product features rollouts performance. Exploring data to find actionable insights and make product recommendations through funnels, cohort analyses, long-term trends, user segmentation, regression models, and more

• Data analytic skills: strong command of SQL/Excel/Google Sheets; natural inclination to analyse and structure information; strong presentation skills in Google Slides; Tableau or other data visualisation tools. Understanding of statistical analysis, regression models, experiment design, and common pitfalls of data analysis. Critically evaluate information gathered from multiple sources, reconcile data conflicts, and summarize complicated analysis in a clear way that informs product decisions. 

• Ownership: Document the projects development requirements and follow up the projects progress continuously to tracking the outcomes post launch

• Technical skills: SQL for data extraction; any macros and/or scripting languages such as Python;

• Strong grasp of commercial concepts: familiarity with e-commerce/m-commerce metrics & analytics, customer segmentation. 

• Communication skills: strong communication skills for day-to-day work with executives; good business writing & presentation skills; being proactive and self-organised. 

Role is suitable for university students.

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