Data Analyst - BytePlus Recommend

3 Months ago • 3 Years + • Data Analysis

Job Summary

Job Description

As a Data Analyst for BytePlus Recommend, you'll collaborate with Algorithm Engineers, Product Management, and Engineering teams. Responsibilities include conducting data analyses to understand client needs and KPIs, proposing innovative solutions to improve recommendation accuracy and client ROI, designing and executing A/B tests, developing dashboards to monitor key performance indicators, and communicating findings to stakeholders. You'll work with cross-functional teams to align data strategies with broader business goals, establishing standardized protocols for project outputs. The role requires proficiency in SQL, Python, and data visualization tools.
Must have:
  • Proficient in SQL and Python
  • Data visualization skills (Tableau/Power BI)
  • Strong analytical and problem-solving skills
  • Excellent communication skills
  • Experience in A/B testing
  • Data-driven decision making
Good to have:
  • Experience with machine learning
  • Experience with high-dimensional datasets

Job Details

Responsibilities
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+ year 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.
Job Information
About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico 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 ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.

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About The Company

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok 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.
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