5.404 Empregos para Hadoop - Brasil

Responsibilities:

1. Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.

2. Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.

3. Data Auditing: Conduct daily performance calculations and data verification for business teams.

4. Metrics Framework:Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

1. Experience with data support;

2. Bachelor’s degree or higher is preferred;

3. Proficiency in SQL, Python, common data analysis tools, and office software.

4. Strong data sensitivity and ability to independently solve problems.

5. Excellent logical thinking, communication skills, and fast learning agility.

6. Detail-oriented, responsible, and team-oriented work ethic.

Responsibilities:

1. Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.

2. Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.

3. Data Auditing: Conduct daily performance calculations and data verification for business teams.

4. Metrics Framework:Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

1. Experience with data support;

2. Bachelor’s degree or higher is preferred;

3. Proficiency in SQL, Python, common data analysis tools, and office software.

4. Strong data sensitivity and ability to independently solve problems.

5. Excellent logical thinking, communication skills, and fast learning agility.

6. Detail-oriented, responsible, and team-oriented work ethic.

Responsibilities:

1. Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.

2. Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.

3. Data Auditing: Conduct daily performance calculations and data verification for business teams.

4. Metrics Framework:Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

1. Experience with data support;

2. Bachelor’s degree or higher is preferred;

3. Proficiency in SQL, Python, common data analysis tools, and office software.

4. Strong data sensitivity and ability to independently solve problems.

5. Excellent logical thinking, communication skills, and fast learning agility.

6. Detail-oriented, responsible, and team-oriented work ethic.

Responsibilities:

1. Data Support: Provide daily data extraction and processing services for projects initiated by business units and other operational teams.

2. Data Products: Develop and optimize data products (e.g., reports/dashboards) to monitor business performance and ensure operational continuity.

3. Data Auditing: Conduct daily performance calculations and data verification for business teams.

4. Metrics Framework:Collaborate with business units and operational teams to design and refine data metrics frameworks, addressing diverse analytical needs.

Basic Requirements:

1. Experience with data support;

2. Bachelor’s degree or higher is preferred;

3. Proficiency in SQL, Python, common data analysis tools, and office software.

4. Strong data sensitivity and ability to independently solve problems.

5. Excellent logical thinking, communication skills, and fast learning agility.

6. Detail-oriented, responsible, and team-oriented work ethic.

About Us

Keeta, the international subsidiary of Meituan—the global delivery giant—is on a mission to revolutionize food and consumer product delivery worldwide. With our core belief: "We help people eat better, live better," we're taking innovation to the global stage!

Job Responsibilities:

1. Responsible for sales of the whole process of data monitoring, analysis, insight into business growth points, and can timely locate and early warning of business problems and risk points, to provide strategic direction and improve the proposal; construction of data reports, to promote the construction of business data products, to enhance the operational efficiency of the sales and operations team;

2. Focus on special analysis: based on analysis results derived from data, collaborate with internal and external resources to promote key projects and drive sales. Continuously review and iterate to improve the results.

3. In-depth understanding of the sales business, continue to follow up on business actions, establish a multi-dimensional business strategy diagnosis system, discover and locate the current business problems, and provide support for business decision-making.

What You'll Do:

1. Two or more years of relevant experience in business analysis and sales data analysis. Experience in a head internet analyst position is preferred.

2. Excellent logical thinking ability, able to perform structured analysis and dismantling of the problem, with the ability and habit of independent thinking and discernment;

3. Good command of commonly used data analysis tools, with solid basic skills in mathematical statistics;

4. Excellent communication and collaboration skills.

What Make This Role Exciting:

1. A startup team with plenty of opportunities to participate in core projects for rapid growth.

2. Experiencing different countries, languages, and cultures.

ABOUT SHEIN

SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from global network of vendors, all at affordable prices. Headquartered in Singapore, SHEIN remains committed to making the beauty of fashion accessible to all, promoting its industry-leading, on demand production methodology, for a smarter, future-ready industry. Founded in 2012, SHEIN has more than 16,000 employees operating from offices around the world, and continues to expand operations globally. Join SHEIN and be the future!

CAREERS AT SHEIN

We Commit to Inclusion

At SHEIN, we believe that diversity is the force that drives innovation. We are committed to creating an environment where all voices are heard, valued and respected. All our vacancies are inclusive for people with disabilities, women, black people, LGBTQIAPN+ community and all types of diversity.

We Empower Talents with Diverse Careers

At SHEIN, we empower talent to excel with regular opportunities to elevate their career in their respective fields. As a dynamic business, we support internal mobility, diverse career pathways and recognition of success and contribution in a variety of meaningful ways.

We Engage with Global Cultures

SHEIN has over 20 offices worldwide , providing talent with many opportunities to collaborate with colleagues around the world. Perspective sharing and leveraging cultural differences, is one of our core strenghts as we work on many exciting projects and draw insights from industry-leading experience.

ABOUT THE ROLE

Job Responsabilities

1. Establish a data monitoring system for warehousing, including maintaining datasource, building data dashboards, and generating periodic data reports for visualization.

2. Monitor the operational health of warehousing, develop frameworks and processes to improve efficiency, and provide optimization suggestions for business processes, labor performance, capacity planning and so on.

3. Provide data support for projects, assisting warehouse teams, product teams, and other departments in smooth business operations.

4. Support ad-hoc data tasks to meet business needs.

Job Requirements

1. Bachelor's degree or above, preferably in Mathematics, Statistics, Computer Science, or related fields.

2. At least 5 years of experience in warehousing data analysis.

3. Proficient in SQL, data tools (such as Tableau, Power BI), and statistical analysis skills, with a solid understanding of analytical methodologies. Responsible for business-related data extraction, analysis, and optimization strategies.

4. English proficiency for workplace communication; Chinese proficiency is a plus.

5. Strong ability to work under pressure and a high sense of responsibility, excellent communication and teamwork skills, independent problem-solving abilities, and adaptability to various data analysis requirements and scenarios.