26 Empregos para Google Data Analytics Professional Certificate - Brasil
Marketing Analytics Professional - Consultor(a)
Publicado há 5 dias atrás
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Descrição Do Trabalho
Principais atividades
Responsável por fornecer suporte para o crescimento de vendas e estratégias de marketing, bem como retenção de clientes manipulando grande base de dados e usando habilidades analíticas avançadas.
Descrição do perfil
- Executar a extração de dados e manipular informações;
- Utilizar soluções de modelagem estatística para prever a potencial aquisição de novos clientes, deserção, programas de retenção e oportunidades de vendas;
- Analisar e interpretar dados para fornecer métricas e compreender os requisitos para construir e melhorar iniciativas de sucesso;
- Resolver problemas de negócios usando técnicas estatísticas e linguagens de programação avançadas;
- Apoiar estratégias de CRM usando metodologias/sistemas, como perfil de cliente, análise de comportamento e segmentação, para desenvolvimento de estratégia e avaliação de impacto e desempenho;
- Usar plataformas de análise da web e ferramentas de relatório para fornecer relatórios/painéis para clientes internos para conduzir programas táticos.
Conhecimento, Experiência e Formação
- Ferramentas de visualização de dados (Power BI, Tableau, Qlik etc);
- Ferramentas de análise de dados (SAS, Knime, etc.);
- Data Mining;
- Data Modeling;
- Project Management;
- Metodologias desenvolvimento lean/agile;
- Obrigatório Superior completo em Administração, Economia, Ciências Contábeis, Engenharia de Produção, Estatística, e áreas afins.
Marketing Analytics Professional - Consultor(a)
Hoje
Trabalho visualizado
Descrição Do Trabalho
Principais atividades
Responsável por fornecer suporte para o crescimento de vendas e estratégias de marketing, bem como retenção de clientes manipulando grande base de dados e usando habilidades analíticas avançadas.
Descrição do perfil
- Executar a extração de dados e manipular informações;
- Utilizar soluções de modelagem estatística para prever a potencial aquisição de novos clientes, deserção, programas de retenção e oportunidades de vendas;
- Analisar e interpretar dados para fornecer métricas e compreender os requisitos para construir e melhorar iniciativas de sucesso;
- Resolver problemas de negócios usando técnicas estatísticas e linguagens de programação avançadas;
- Apoiar estratégias de CRM usando metodologias/sistemas, como perfil de cliente, análise de comportamento e segmentação, para desenvolvimento de estratégia e avaliação de impacto e desempenho;
- Usar plataformas de análise da web e ferramentas de relatório para fornecer relatórios/painéis para clientes internos para conduzir programas táticos.
Conhecimento, Experiência e Formação
- Ferramentas de visualização de dados (Power BI, Tableau, Qlik etc);
- Ferramentas de análise de dados (SAS, Knime, etc.);
- Data Mining;
- Data Modeling;
- Project Management;
- Metodologias desenvolvimento lean/agile;
- Obrigatório Superior completo em Administração, Economia, Ciências Contábeis, Engenharia de Produção, Estatística, e áreas afins.
Senior Lead, Data Analysis
Publicado há 25 dias atrás
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Descrição Do Trabalho
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**
Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories.
In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes.
Your role goes beyond traditional data analysis. You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions. Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data - ensuring it is primed for analysis, business intelligence, and insightful visualizations.
Collaboration will be at the heart of your work. As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data. Together, we will ensure the data is in its finest form, ready to deliver actionable insights.
Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact.
At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference.
If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**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.
Required Skills and Experience
-Hands-on experience in data analysis, business intelligence, or analytics consulting
-Proven ability to translate business needs into analytical use cases and technical requirements
-Proficiency in SQL, Python or R for data analysis, including data wrangling, statistical modeling, and visualization
-Strong experience with Analytics and Business Intelligence platforms such as Microsoft Power BI (Fabric), Workday PRISM, One Model, or similar tools
-Solid understanding of data modeling, ETL processes, and data governance
-Demonstrated ability to independently conduct data exploration, build dashboards, and present insights to both technical and non-technical audiences
-Excellent communication and storytelling skills, with the ability to engage stakeholders and influence decision-making
-Experience working in agile, cross-functional teams and collaborating with developers, data scientists, and business leaders
-Enthusiasm for working in a fast-paced, global environment with a diverse and collaborative team
-Bachelor's in Data Science, Statistics, Computer Science, Business Analytics, or a related field
-Advanced English proficiency required to collaborate with global teams
Preferred Skills and Experience
-Experience in workforce analytics, HR data, or professional services
-Cloud platform certification, e.g., AWS Certified Data Analytics - Specialty or Microsoft Certified: Power BI Data Analyst Associate
-Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
-Data Science, experience with predictive analytics and machine learning models
**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 learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, 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.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Senior Lead, Data Analysis
Publicado há 25 dias atrás
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Descrição Do Trabalho
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**
Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories.
In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes.
Your role goes beyond traditional data analysis. You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions. Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data - ensuring it is primed for analysis, business intelligence, and insightful visualizations.
Collaboration will be at the heart of your work. As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data. Together, we will ensure the data is in its finest form, ready to deliver actionable insights.
Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact.
At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference.
If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**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.
Required Skills and Experience
-Hands-on experience in data analysis, business intelligence, or analytics consulting
-Proven ability to translate business needs into analytical use cases and technical requirements
-Proficiency in SQL, Python or R for data analysis, including data wrangling, statistical modeling, and visualization
-Strong experience with Analytics and Business Intelligence platforms such as Microsoft Power BI (Fabric), Workday PRISM, One Model, or similar tools
-Solid understanding of data modeling, ETL processes, and data governance
-Demonstrated ability to independently conduct data exploration, build dashboards, and present insights to both technical and non-technical audiences
-Excellent communication and storytelling skills, with the ability to engage stakeholders and influence decision-making
-Experience working in agile, cross-functional teams and collaborating with developers, data scientists, and business leaders
-Enthusiasm for working in a fast-paced, global environment with a diverse and collaborative team
-Bachelor's in Data Science, Statistics, Computer Science, Business Analytics, or a related field
-Advanced English proficiency required to collaborate with global teams
Preferred Skills and Experience
-Experience in workforce analytics, HR data, or professional services
-Cloud platform certification, e.g., AWS Certified Data Analytics - Specialty or Microsoft Certified: Power BI Data Analyst Associate
-Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
-Data Science, experience with predictive analytics and machine learning models
**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 learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, 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.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Merchant Operation Manager (Data Analysis）
Publicado há 11 dias atrás
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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! Within just one year, Keeta has become an industry leader in Hong Kong . With our ongoing expansions into Saudi Arabia , Keeta achieved the remarkable feat of launching 5 cities in just 17 days, allowing the Arab world to witness the speed of China! Keeta offers exciting opportunities to join a transformative journey that is shaping the future of delivery and retail. Join Keeta, explore the world.
Know more:Keeta website
Job Descriptions
- Provide data analysis and data support for merchant-side operations of Keeta's food delivery business.
- Work closely with both internal and cross-functional teams, identify business needs and build scalable indicator systems for different operation scenarios.
- Through in-depth data analysis, collaborate with the business team to deeply explore and gain insights into merchant needs, identifying key business opportunities .
- Participate in operation key projects , provide data analysis support for projects, promote project implementation, and share responsibility for project results.
Job Requirements
- Bachelor's degree or above . Background in Mathematics, Economics, Computer Science or related fields preferred.
- Experience in data analysis. Top-tier internet companies or consulting firms preferred.
- Technical proficiency in SQL, Python, and BI tools .
- Exceptional structured problem-solving skills with strong logical/critical thinking .
- Expertise in statistical analysis and proven track record of driving business improvements through data insights.
- Strong ownership, communication skills, and ability to lead projects in multicultural environments.
- Proficiency in English.
Job Highlights
- Join a startup-like business. Opportunity to participate in the design of key business processes and products.
- Grow alongside rapidly expanding businesses.
- Work with members from 25 countries and experience a diverse work environment
Merchant Operation Manager (Data Analysis）
Hoje
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Descrição Do Trabalho
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! Within just one year, Keeta has become an industry leader in Hong Kong . With our ongoing expansions into Saudi Arabia , Keeta achieved the remarkable feat of launching 5 cities in just 17 days, allowing the Arab world to witness the speed of China! Keeta offers exciting opportunities to join a transformative journey that is shaping the future of delivery and retail. Join Keeta, explore the world.
Know more: Keeta website
Job Descriptions
- Provide data analysis and data support for merchant-side operations of Keeta's food delivery business.
- Work closely with both internal and cross-functional teams, identify business needs and build scalable indicator systems for different operation scenarios.
- Through in-depth data analysis, collaborate with the business team to deeply explore and gain insights into merchant needs, identifying key business opportunities .
- Participate in operation key projects , provide data analysis support for projects, promote project implementation, and share responsibility for project results.
Job Requirements
- Bachelor's degree or above . Background in Mathematics, Economics, Computer Science or related fields preferred.
- Experience in data analysis. Top-tier internet companies or consulting firms preferred.
- Technical proficiency in SQL, Python, and BI tools .
- Exceptional structured problem-solving skills with strong logical/critical thinking .
- Expertise in statistical analysis and proven track record of driving business improvements through data insights.
- Strong ownership, communication skills, and ability to lead projects in multicultural environments.
- Proficiency in English.
Job Highlights
- Join a startup-like business. Opportunity to participate in the design of key business processes and products.
- Grow alongside rapidly expanding businesses.
- Work with members from 25 countries and experience a diverse work environment
Data Analytics Consultant
Hoje
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About Making Science
Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation.
Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We’ve joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future.
As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation.
Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data.
Some details about your department
We are seeking a motivated and detail-oriented Junior Data Analytics Consultant with a strong focus on Google Analytics 4 (GA4) to join our team in Brazil. In this role, you will be responsible for managing local data analytics projects, helping our clients to leverage their data to drive business decisions. You will be the go-to person for GA4 implementation, analysis, and reporting, working closely with our clients to understand their needs and deliver actionable insights.
What we’d like you to do
Implement, configure, and manage Google Analytics 4 (GA4) and Google Tag Manager (GTM) for our clients.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide insights to stakeholders.
Analyze website and marketing campaign data to identify trends, opportunities, and areas for improvement.
Manage local data analytics projects from inception to completion, ensuring they are delivered on time and within scope.
Collaborate with internal teams and clients to understand their business objectives and provide data-driven recommendations.
Provide training and support to clients on how to use and interpret GA4 data.
Stay up-to-date with the latest trends and best practices in digital analytics and GA4.
What we’d like you to bring
Bachelor's degree in Marketing, Statistics, Economics, Computer Science, or a related field.
Proven experience working with Google Analytics (GA4 is a must).
Experience with Google Tag Manager.
Familiarity with data visualization tools such as Looker Studio, Power BI, or Tableau.
Strong analytical and problem-solving skills with the ability to translate data into actionable insights.
Excellent communication and presentation skills.
Fluent in both Portuguese and English.
️Perks of joining us
We give you complete stability with an indefinite job contract.
We offer a fixed salary according to your worth and experience, plus a performance based bonus.
Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they’re hired!
Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model.
The opportunity to meet our international team with our Ambassadors Program.
We care about a healthy work-life balance. You can count on having flexible working hours and one day a week where you can work from home.
You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more.
Work comfortably and follow your own style, because we don’t have a dress code.
We know how to have a good time!
Never go hungry with our free daily fruit and our vending machine card!
Take a break on our terrace, play foosball, darts, or PlayStation
Be a part of a young, adventurous, and professional team, with people you’ll grow fond of!
Seja o primeiro a saber
Sobre o mais recente Google data analytics professional certificate Empregos em Brasil !
Data Analytics Consultant
Hoje
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About Making Science
Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation.
Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We’ve joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future.
As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation.
Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data.
Some details about your department
We are seeking a motivated and detail-oriented Junior Data Analytics Consultant with a strong focus on Google Analytics 4 (GA4) to join our team in Brazil. In this role, you will be responsible for managing local data analytics projects, helping our clients to leverage their data to drive business decisions. You will be the go-to person for GA4 implementation, analysis, and reporting, working closely with our clients to understand their needs and deliver actionable insights.
What we’d like you to do
Implement, configure, and manage Google Analytics 4 (GA4) and Google Tag Manager (GTM) for our clients.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide insights to stakeholders.
Analyze website and marketing campaign data to identify trends, opportunities, and areas for improvement.
Manage local data analytics projects from inception to completion, ensuring they are delivered on time and within scope.
Collaborate with internal teams and clients to understand their business objectives and provide data-driven recommendations.
Provide training and support to clients on how to use and interpret GA4 data.
Stay up-to-date with the latest trends and best practices in digital analytics and GA4.
What we’d like you to bring
Bachelor's degree in Marketing, Statistics, Economics, Computer Science, or a related field.
Proven experience working with Google Analytics (GA4 is a must).
Experience with Google Tag Manager.
Familiarity with data visualization tools such as Looker Studio, Power BI, or Tableau.
Strong analytical and problem-solving skills with the ability to translate data into actionable insights.
Excellent communication and presentation skills.
Fluent in both Portuguese and English.
Perks of joining us
We give you complete stability with an indefinite job contract.
We offer a fixed salary according to your worth and experience, plus a performance based bonus.
Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they’re hired!
Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model.
The opportunity to meet our international team with our Ambassadors Program.
We care about a healthy work-life balance. You can count on having flexible working hours and one day a week where you can work from home.
You will never stop learning with us: subsidized training, free language classes, learning capsules, an e-learning platform, and many more.
Work comfortably and follow your own style, because we don’t have a dress code.
We know how to have a good time!
Never go hungry with our free daily fruit and our vending machine card!
Take a break on our terrace, play foosball, darts, or PlayStation
Be a part of a young, adventurous, and professional team, with people you’ll grow fond of!
Sr. Data Analytics Engineer
Publicado há 3 dias atrás
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About Credix
Credix is a FinTech company dedicated to growing businesses in Latin America. Building on our expertise, we now focus on providing a tailored Buy Now, Pay Later (BNPL) solution for B2B transactions in Brazil with our platform, CrediPay. CrediPay is created to help business grow their sales and improve their cashflow efficiency through seamless and risk-free credit offering. Sellers offer their buyers flexible payment terms at an attractive price point and receive upfront payments. We manage and protect our clients from any credit & fraud risk, letting them focus only on what matters: increased sales and profitability.
Why choose Credix?
- Become part of a forward-thinking start-up where boldness and a commitment to excellence are paramount, and your personal and professional development is at the forefront.
- Work alongside a dedicated team of bright individuals driven by an Olympian mindset to excel in every aspect of our operations. Together, we aim to build with velocity, utilizing innovative embedded finance strategies to expand business operations in Latin America.
- Experience a close and supportive work atmosphere where collaboration thrives, wise judgment guides our decisions, and you can learn, grow, and take on meaningful responsibilities.
About the job We are looking for someone to join Credix as a a Senior Analytics Engineer. You will take ownership of structuring our data analytics platform and analytics use-cases. You love to tackle big problems and break them down into smaller pieces. You will build an analytics platform that features reliable, timely and understandable metrics in a slice-and-dice format to empower other teams to make better decisions.
Responsibilities
- Design and maintain dbt models and reliable datasets that power analytics, experiments, and decision-making across the company.
- Define and act upon standards for metrics, data modeling practices, and documentation.
- Oversee the full analytics lifecycle, from transforming raw to delivering insights in BI platforms (e.g. Hex).
- Collaborate with Data Engineering to ensure analytics pipelines meet high standards of quality, observability and testing.
- Enable self-service analytics by creating semantic layers and reusable data assets that let teams create insights independently.
Qualifications
- 5+ years of experience in analytics engineering, data engineering, or a related technical data role.
- Deep expertise with SQL and dbt, including modular modeling, documentation, and testing.
- Proven track record of building source-of-truth data models that support product use cases.
- Experience with cloud data warehouses (BigQuery), semantic layers (dbt), version control (Git), and visualization tools (Hex).
- Experience in a (credit) FinTech is a must.
- Manager of one: structuring, and executing upon the analytics roadmap.
- Analytical and system-oriented mindset with a strong problem-solving ability to handle complex data challenges.
- Proactive, clear and concise communication both in Portuguese and English, ensuring alignment with cross-functional teams.
- Anticipate business metrics needs and structure the analytics layer to ensure scalability and reusability across the entire company.
- High attention to detail and a perfectionist approach, especially in maintaining metrics quality and integrity.
- Thrives in a fast-paced, startup environment.
- Genuine interest/passion for disrupting the B2B credit market in Brazil by using data.
- Collaborative mindset, working effectively with diverse stakeholders.
What we offer
Collaboration and team spirit thrive best in an in-office environment. Our office provides a vibrant and engaging workspace where team members can connect, innovate, and grow. With access to our offices in Sao Paulo, you’ll immerse yourself in a culture of innovation and collaboration.
But that’s just the beginning - here’s what else we offer:
- A culture of learning and experimentation: where you are encouraged to explore new ideas and technologies
- Competitive salary package: Your hard work deserves recognition, and we ensure you’re well-rewarded for your contributions.
- Equity stock options plan: Be a part of our journey towards success and share in the rewards.
- Paid holidays: Enjoy the flexibility to recharge and rejuvenate
- Off-sites: Awesome team building, unforgettable memories, and adventures ensured during our team off-sites.
Sr. Data Analytics Engineer
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About Credix
Credix is a FinTech company dedicated to growing businesses in Latin America. Building on our expertise, we now focus on providing a tailored Buy Now, Pay Later (BNPL) solution for B2B transactions in Brazil with our platform, CrediPay. CrediPay is created to help business grow their sales and improve their cashflow efficiency through seamless and risk-free credit offering. Sellers offer their buyers flexible payment terms at an attractive price point and receive upfront payments. We manage and protect our clients from any credit & fraud risk, letting them focus only on what matters: increased sales and profitability.
Why choose Credix?
- Become part of a forward-thinking start-up where boldness and a commitment to excellence are paramount, and your personal and professional development is at the forefront.
- Work alongside a dedicated team of bright individuals driven by an Olympian mindset to excel in every aspect of our operations. Together, we aim to build with velocity, utilizing innovative embedded finance strategies to expand business operations in Latin America.
- Experience a close and supportive work atmosphere where collaboration thrives, wise judgment guides our decisions, and you can learn, grow, and take on meaningful responsibilities.
About the job We are looking for someone to join Credix as a a Senior Analytics Engineer. You will take ownership of structuring our data analytics platform and analytics use-cases. You love to tackle big problems and break them down into smaller pieces. You will build an analytics platform that features reliable, timely and understandable metrics in a slice-and-dice format to empower other teams to make better decisions.
Responsibilities
- Design and maintain dbt models and reliable datasets that power analytics, experiments, and decision-making across the company.
- Define and act upon standards for metrics, data modeling practices, and documentation.
- Oversee the full analytics lifecycle, from transforming raw to delivering insights in BI platforms (e.g. Hex).
- Collaborate with Data Engineering to ensure analytics pipelines meet high standards of quality, observability and testing.
- Enable self-service analytics by creating semantic layers and reusable data assets that let teams create insights independently.
Qualifications
- 5+ years of experience in analytics engineering, data engineering, or a related technical data role.
- Deep expertise with SQL and dbt, including modular modeling, documentation, and testing.
- Proven track record of building source-of-truth data models that support product use cases.
- Experience with cloud data warehouses (BigQuery), semantic layers (dbt), version control (Git), and visualization tools (Hex).
- Experience in a (credit) FinTech is a must.
- Manager of one: structuring, and executing upon the analytics roadmap.
- Analytical and system-oriented mindset with a strong problem-solving ability to handle complex data challenges.
- Proactive, clear and concise communication both in Portuguese and English, ensuring alignment with cross-functional teams.
- Anticipate business metrics needs and structure the analytics layer to ensure scalability and reusability across the entire company.
- High attention to detail and a perfectionist approach, especially in maintaining metrics quality and integrity.
- Thrives in a fast-paced, startup environment.
- Genuine interest/passion for disrupting the B2B credit market in Brazil by using data.
- Collaborative mindset, working effectively with diverse stakeholders.
What we offer
Collaboration and team spirit thrive best in an in-office environment. Our office provides a vibrant and engaging workspace where team members can connect, innovate, and grow. With access to our offices in Sao Paulo, you’ll immerse yourself in a culture of innovation and collaboration.
But that’s just the beginning - here’s what else we offer:
- A culture of learning and experimentation: where you are encouraged to explore new ideas and technologies
- Competitive salary package: Your hard work deserves recognition, and we ensure you’re well-rewarded for your contributions.
- Equity stock options plan: Be a part of our journey towards success and share in the rewards.
- Paid holidays: Enjoy the flexibility to recharge and rejuvenate
- Off-sites: Awesome team building, unforgettable memories, and adventures ensured during our team off-sites.