139 Empregos para Data analyst associate - Rio de Janeiro

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You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data-driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data-driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Work from home
• Celebrations
• Entertainment area
• Great work environment
• Private medical insurance

*Benefits may vary according to your location and/or availability. Request further information when applying.

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries IT Services and IT Consulting

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Job Description

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data-driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data-driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization.

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Work from home
• Flexible schedule
• Celebrations
• Special discounts
• Entertainment area
• Flexible work spaces
• Great work environment
• Private medical insurance

*Benefits may vary according to your location and/or availability. Request further information when applying.

Job Description

About You

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data-driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering , or a related field — or equivalent experience.
• Proven experience working with Azure cloud services for data processing and analytics.
• Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
• Solid knowledge of SQL for querying, data preparation, and optimization.
• Hands-on experience with Power BI for building dashboards and delivering insights.
• Ability to design and execute data-driven solutions to support business objectives.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills to explain complex findings to technical and non-technical stakeholders.
• English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

• Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
• Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
• Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
• Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
• Write and optimize SQL queries to extract, analyze, and transform large datasets.
• Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
• Translate business problems into data science approaches and deliver actionable recommendations.
• Stay current with emerging tools and methods in data science, cloud analytics, and visualization .

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits:

• Work from home
• Flexible schedule
• Celebrations
• Special discounts
• Entertainment area
• Flexible work spaces
• Great work environment
• Private medical insurance

*B enefits may vary according to your location and/or availability. Request further information when applying.

Position Title: Data Scientist

Position Summary:

• Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
• Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
• Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
• Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models
• Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
• Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
• Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
• Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)

Position Title: Data Scientist

Position Summary:

• Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
• Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
• Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
• Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models
• Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
• Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
• Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
• Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)

Position Title: Data Scientist

Position Summary:

• Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
• Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
• Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
• Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models
• Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
• Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
• Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
• Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)

Position Title: Data Scientist

Position Summary:

• Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
• Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
• Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
• Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models
• Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
• Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
• Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
• Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)

Position Title: Data Scientist

Position Summary:

• Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
• Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
• Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
• Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models
• Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
• Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
• Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
• Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)

Position Title: Data Scientist

Position Summary:

• Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
• Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
• Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
• Expertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these models
• Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
• Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
• Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
• Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)