Product Data Analyst Intern

Company:
Location: Remote

*** Mention DataYoshi when applying ***

Company
Nas Daily Pte Ltd nasdaily.com

Designation
Product Data Analyst Intern

Date Listed
15 Apr 2021

Job Type
Entry Level / Junior Executive Intern/TS

Job Period
Immediate Start, For At Least 4 Months

Profession

Engineering

Industry

Creative / Media

Location Name
Singapore 138649 Work from Home

Address
Singapore 138649

Map

Allowance / Remuneration
$600 - 1,000 monthly

Company Profile

Nas Academy is an Edtech Platform that enables Content Creators to monetize their skills through Education. With a click of a button, a creator can become an Academy - with their own curriculum, marketing, sales, and community tools.
Nas Academy was founded by Nuseir Yassin of Nas Daily, one of Facebook's biggest content creators, with more than 11 Billion views and 35 million followers on the internet. We just closed our Series A round - and we are looking for our first Product Analyst Intern. What’s even better is that you can work remotely for this role.
Nas Academy aims to capitalize on being at the intersection of the continued explosive growth of both the Creator Economy and the Online Education industry. Within 7 months, Nas Academy has generated $1.5m of revenue, reaching over 3,000 students across 51 countries, with alumni who have gone on to generate significant followership.
Headquartered in Singapore and having already achieved over 13 billion views on the Founder's pages, we partner with world-leading creators to teach new-age skills required to tackle the changing job and media landscape.
Content creators and storytelling are the future - and we want to help build that future. Our goal is to be the Global leader for online learning.
So far, 3,500+ students from over 100 countries have already taken our courses and are part of our community for lifetime! We aim to grow these numbers by 10x in 2021.

Job Description

The Product Data Analyst Intern will be working closely together with the Nas Academy Product and Engineering Team and experience hands-on how to hyper-scale an education platform.
If you believe in our mission and you can build a similar product like Masterclass or SkillShare yet much more unique for live education, or believe that you can figure it out, then come join our tech team. Isn’t that thrilling? This is a once-in-a-life-time opportunity to work with experienced engineers/product managers/designers from top companies in the world including Grab, Alibaba, Ernst & Young & Visa to build technology from the ground up and scale rapidly. Visit nas.academy for more details.
We are looking for someone passionate, assertive, and gets things done in half the time.
You will be responsible for driving the Product Data to help Nas Academy scale up to be the best global education platform for Creators. The job is challenging but very rewarding. If you love building and scaling products for tech platforms and marketplaces with a passion for our mission, then we are looking for you!
Major Responsibilities
Work closely with the Product, Design and Tech team - Be the in-house Product metrics champion
Build analytical dashboards, develop forecasts and analyses, monitor product KPIs.
Dig into user behaviour across the funnel, tell stories using data and suggest opportunities to improve the product/UI/UX.
Define, set up and conduct A/B experiments to improve acquisition, engagement and retention of users.
Ensure that each feature release with adept with the event tracking requirements
Assist the operations and marketing teams to improve their workflows
Requirements
Extensive knowledge of Microsoft Office Suite (Excel)
Experience in SQL, Python, tools such as Microsoft Excel (Advanced), Amplitude, Google Analytics will be preferred
The ability to work under pressure and adapt to change.
Available for 4-6 months at least
Bachelor’s/Master’s student at a Singapore-based university (Credit bearing internship)

Application Instructions

Please apply for this position by filling up this form providing all the necessary information: https://bit.ly/3sjJWui

Kindly note that only shortlisted candidates will be notified.

*** Mention DataYoshi when applying ***

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