20 Empregos para Statistical Analysis - Brasil

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.

Join to apply for the Senior Lead, Data Analysis role at Kyndryl

Join to apply for the Senior Lead, Data Analysis role at Kyndryl

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

As a Senior Lead Data Analyst, you will play a pivotal role in driving data-driven decision-making across our organization. You will leverage your expertise in data analysis, visualization, and output interpretation to provide actionable insights that optimize our workforce strategies, especially related to Talent Management, Performance, and Employee Experience. You will collaborate closely with data engineers, data scientists, and business stakeholders to ensure data integrity and deliver impactful analytical solutions.

Key Responsibilities:

• Data Analysis and Interpretation: Conduct in-depth data analysis to identify trends, patterns, and insights that inform workforce strategies and business decisions.
• Stakeholder Engagement: Engage with HR, business leaders, and other stakeholders to understand their data needs and provide tailored analytical solutions that answer their critical questions and drive business outcomes.
• Collaboration with Data Teams: Work closely with data engineers and data scientists to ensure data is clean, structured, and ready for analysis. Participate in designing scalable data pipelines and architectures to support analytical workflows.
• Insights and Data delivery: Utilize data visualization tools (e.g., Tableau, Power BI) and design presentations using PowerPoint to deliver compelling visualizations that communicate basic to complex analytical insights to non-technical audiences.
• Advanced Insights: Surface hidden insights using statistical techniques (e.g., ANOVA, Regression) to uncover drivers of performance or why some groups are more engaged than others to drive business performance.
• Data Quality: Ensure data integrity, consistency, and accuracy across your projects. Collaborate with data governance teams to align processes and maintain high data quality standards.
• Identify opportunities: Monitor requests and find opportunities to automate frequent asks, streamline and help enhance efficiency in our processes, products, and cross-collaboration.
  
  

• Have a bachelor or master degree in Computer Science, Data Engineering, IT or related areas.
• Fluent English
• Show strong experience in data analysis, visualization, and interpretation.
• Proficiency with data visualization tools such as Tableau or Power BI.
• Strong proficiency with data management and analysis tools, such as SQL, Python or R, Excel
• Experience designing compelling data stories on presentation tools, such as PowerPoint is preferred
• Formal training in quantitative related fields
• Strong analytical and problem-solving skills.
• Proven experience with simple to advanced analysis, such as descriptive statistics, ANOVA, and regression is preferred.
• Excellent communication and collaboration skills.
• Curious and self-starter
• Ability to work in a fast-paced, dynamic environment.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Analyst, Information Technology, and Engineering
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Kyndryl by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Senior Lead, Data Analysis page is loadedSenior Lead, Data Analysis Apply remote type Fully Remote locations Hortolandia, São Paulo, Brazil time type Full time posted on Posted Yesterday job requisition id R-45390

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

As a Senior Lead Data Analyst , you will play a pivotal role in driving data-driven decision-making across our organization. You will leverage your expertise in data analysis, visualization, and output interpretation to provide actionable insights that optimize our workforce strategies, especially related to Talent Management, Performance, and Employee Experience. You will collaborate closely with data engineers, data scientists, and business stakeholders to ensure data integrity and deliver impactful analytical solutions.

Key Responsibilities:

• Data Analysis and Interpretation: Conduct in-depth data analysis to identify trends, patterns, and insights that inform workforce strategies and business decisions.
• Stakeholder Engagement: Engage with HR, business leaders, and other stakeholders to understand their data needs and provide tailored analytical solutions that answer their critical questions and drive business outcomes.
• Collaboration with Data Teams: Work closely with data engineers and data scientists to ensure data is clean, structured, and ready for analysis. Participate in designing scalable data pipelines and architectures to support analytical workflows.
• Insights and Data delivery: Utilize data visualization tools (e.g., Tableau, Power BI) and design presentations using PowerPoint to deliver compelling visualizations that communicate basic to complex analytical insights to non-technical audiences.
• Advanced Insights: Surface hidden insights using statistical techniques (e.g., ANOVA, Regression) to uncover drivers of performance or why some groups are more engaged than others to drive business performance.
• Data Quality: Ensure data integrity, consistency, and accuracy across your projects. Collaborate with data governance teams to align processes and maintain high data quality standards.
• Identify opportunities: Monitor requests and find opportunities to automate frequent asks, streamline and help enhance efficiency in our processes, products, and cross-collaboration.

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Skills and Experience

• Have a bachelor or master degree in Computer Science, Data Engineering, IT or related areas.
• Fluent English
• Show strong experience in data analysis, visualization, and interpretation.
• Proficiency with data visualization tools such as Tableau or Power BI.
• Strong proficiency with data management and analysis tools, such as SQL, Python or R, Excel
• Experience designing compelling data stories on presentation tools, such as PowerPoint is preferred
• Formal training in quantitative related fields
• Strong analytical and problem-solving skills.
• Proven experience with simple to advanced analysis, such as descriptive statistics, ANOVA, and regression is preferred.
• Excellent communication and collaboration skills.
• Curious and self-starter
• Ability to work in a fast-paced, dynamic environment.

Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learningprograms give you access to the best learning in the industry to receive certifications, includingMicrosoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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.

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.