Data Analyst - BytePlus Recommend

About ByteDance

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the team

BytePlus is a business unit in ByteDance and provides intelligent platform services powered by industry-leading research in emerging technologies. From data analytics tools to computer vision software, BytePlus solutions enable businesses to reach their potential. To help businesses access BytePlus technologies, the Platform team delivers a reliable and easy-to-use platform that businesses can use to discover, learn more about, purchase, and use BytePlus solutions. Our platform makes it radically safe and effortless for technology professionals to consume solutions like BytePlus Recommendation, BytePlus Effects, and BytePlus Data Intelligence to grow their businesses.

As a Data Analyst for BytePlus Recommend, you will work closely with Algorithm Engineer, Product Management, and Engineering teams to deliver actionable insights and data-driven decisions for our business. Your role will be pivotal in shaping our recommendation product by identifying risks and optimizing performance.

Responsibilities

- Conduct tailored data analyses to understand the specific needs and KPIs of our B2B clients.

- Propose innovative solutions by exploratory data analysis from complex and high-dimensional datasets, applying statistical and modeling techniques to improve recommendation accuracy and effectiveness, as well as client ROI

- Design, execute, and evaluate A/B tests focused on assessing the effectiveness of strategies or refinements in our recommendation algorithms. Troubleshoot any irregularities in key metrics and provide data-backed optimization strategies.

- Develop and maintain specialized dashboards that monitor key performance indicators specific to recommendation services. Translate complex data into actionable insights and communicate these clearly to both technical and non-technical stakeholders.

- Work in alignment with cross-disciplinary teams, such as engineering and product, to ensure that data strategies support broader business goals, including client acquisition and retention.

- Establish standardized protocols for all manually generated project outputs. Streamline document formats, key stages, and external reporting to enhance efficiency and consistency across teams.

Qualifications

Minimum Qualifications

- Bachelor's degree or higher in a related field such as Statistics, Mathematics, or Business Analytics with 3+ yearw of experience in data analytics or a similar field.

- Proficiency in data analysis tools such as SQL and Python, and familiar with data visualization tools like Tableau or Power BI.

- Demonstrated ability to juggle multiple projects in a fast-paced setting with strong attention to detail and accuracy.

- Strong analytical thinking, centered around problem-solving and data-driven decision-making.

- Exceptional communication skills, being able to articulate finding in a systematic way with an emphasis on simplifying complex data for stakeholders across businesses and levels.

Preferred Qualifications

- Experience with machine learning technologies is a plus.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.