Tableau Data Analyst Jobs

EPAM Anywhere is looking for Tableau Data Analysts.

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chief data analyst

System Analysis

Data Classification, Data Modeling, Google Cloud Platform

40 hrs/week

12+ months

Colombia

We are currently seeking a highly skilled Chief Data Analyst to join our team remotely.

We are currently seeking a highly skilled Chief Data Analyst to work remotely with our team, taking charge of designing and implementing data models and classification schemes to support our business objectives. In this role, you will develop an event metamodel that traces specific business/data events to their source components and lifecycle mutation channels, ensuring the accuracy and validity of our data.

responsibilities

Develop data models and classification schemes to support business objectives
Collaborate with the Data Ontologist to develop an event metamodel tracing specific business/data events to their source components and lifecycle mutation channels
Extract data from a variety of sources using SQL and other data analysis tools
Work with large datasets to ensure data accuracy and consistency
Identify and resolve complex data-related issues
Communicate complex ideas to both technical and non-technical stakeholders
Manage projects using Agile methodologies and project management tools
Work independently and as part of a team to achieve project goals

requirements

At least 7 years of experience as a System Analyst, focusing on data modeling and classification
Experience in leading software development teams, demonstrating adept leadership skills
Expertise in SQL and the ability to write complex queries to extract data from a variety of sources
Experience in Google Cloud Platform and other cloud-based data storage solutions
Ability to work with large datasets, ensuring data accuracy and consistency
Strong analytical and problem-solving skills, with the ability to identify and resolve complex data-related issues
Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical stakeholders
Experience with Agile methodologies and project management tools
Ability to work independently and as part of a team to achieve project goals
Fluent spoken and written English at an Upper-Intermediate level or higher

nice to have

Experience in data visualization tools such as Tableau or Power BI
Familiarity with machine learning algorithms and techniques

lead sap data analyst

SAP (Others)

SAP, SAP Basis, SQL

40 hrs/week

12+ months

India

We are seeking a highly skilled remote Lead SAP Data Analyst with extensive experience in SAP, SAP Basis, and SQL to join our team.

In this role, you will be responsible for building a comprehensive dataset from SAP raw data, transforming and joining data to create insightful dashboards and reports, and conducting thorough data validations. You will work closely with cross-functional teams, answering questions and triaging bugs about the dataset you built. If you have a strong background in SQL, knowledge in Data Warehouse and SAP, and experience in data visualization, we encourage you to apply.

responsibilities

Build a comprehensive dataset from SAP raw data, transforming and joining data to create insightful dashboards and reports
Conduct thorough data validations to ensure data integrity
Answer questions and triage bugs about the dataset from people who use the dataset
Collaborate with cross-functional teams to ensure data quality and data integration processes are optimized
Monitor and mentor the team members

requirements

Minimum of 5 years' experience as a SAP Data Analyst or similar role
1+ years of relevant leadership experience
Extensive knowledge and experience in SAP, SAP Basis, and SQL
Experience with data visualization tools such as Data Studio, Tableau, and others
Strong understanding of data warehouse concepts and data modeling
Effective communication and collaboration skills to work in cross-functional teams
Fluent English language skills with an Upper-Intermediate level

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a talented remote Data Solution Architect to join our team and work on a cutting-edge project in the field of data analytics.

In this role, you will lead a team of engineers in the development of advanced data solutions using Apache Spark, Databricks, Python, and Scala. You will be responsible for designing and implementing scalable and reliable data pipelines, as well as optimizing data processing and storage. If you have a passion for big data and the skills to lead a team to success, we invite you to apply for this exciting opportunity.

responsibilities

Lead a team of engineers in the development of advanced data solutions using Apache Spark, Databricks, Python, and Scala
Design and implement scalable and reliable data pipelines, optimizing data processing and storage
Collaborate with cross-functional teams to understand business and data requirements, and develop solutions that meet those needs
Troubleshoot and optimize data pipelines and processing, ensuring high performance and reliability
Mentor and train junior engineers, providing guidance and support in their professional development
Stay up-to-date with the latest trends and technologies in big data processing and analytics, and share knowledge with the team
Ensure the quality and accuracy of data solutions, and maintain high standards of code quality and documentation

requirements

Minimum of 7 years of practical hands-on experience in Data Software Engineering
At least 2+ projects in a technical team lead role with constant hands-on work during the last 3 years
1+ years of experience as a Data Solution Architect
Expertise in Apache Spark and Databricks, with experience in developing and optimizing Spark jobs and clusters
Proficiency in Python and Scala, with experience in developing data pipelines and ETL processes
Experience in designing and implementing scalable and reliable data solutions, including data processing, storage, and retrieval
Strong leadership skills, with experience in leading and mentoring a team of engineers
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Ability to troubleshoot and optimize data pipelines and processing, ensuring high performance and reliability
Fluent spoken and written English at an Upper-Intermediate level or higher
Spanish language proficiency is a must

nice to have

Completed Databricks Data Engineering Professional certification
Experience with cloud-based data solutions, such as AWS or Azure
Experience with data visualization tools, such as Tableau or Power BI

lead big data engineer

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working on a cutting-edge project that leverages the latest technologies to deliver innovative solutions in the field of data engineering.

In this role, you will lead a team of engineers in the development, implementation, and maintenance of large-scale data processing systems, ensuring the highest levels of performance, reliability, and scalability. If you are a creative problem solver with a passion for data engineering and a proven track record of delivering complex projects, we invite you to apply for this exciting opportunity.

responsibilities

Lead a team of engineers in the design, development, and maintenance of large-scale data processing systems
Collaborate with stakeholders to identify business requirements and translate them into technical specifications
Develop and implement data processing pipelines using technologies such as Apache Spark and Databricks
Optimize data processing performance and scalability, ensuring high levels of reliability and availability
Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and development
Conduct code reviews and ensure adherence to coding standards and best practices
Stay up-to-date with emerging trends and technologies in data engineering, and make recommendations for their adoption

requirements

A minimum of 5 years of experience in Data Software Engineering, with expertise in designing and building large-scale data processing systems
A minimum of 1 year of experience in leading a team of engineers, providing technical guidance and mentorship, and driving successful project outcomes
Expertise in Apache Spark and Databricks, showcasing your proficiency in distributed computing and data processing
In-depth knowledge of programming languages such as Python and Scala, enabling you to write efficient and effective code
Strong understanding of data modeling and database design principles, including experience with SQL and NoSQL databases
Experience with cloud-based data processing platforms such as AWS, Azure, or Google Cloud Platform
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher
Spanish language proficiency is a must-have

nice to have

Completed Databricks Data Engineering Professional certification
Experience with machine learning and data analytics tools and frameworks such as TensorFlow, PyTorch, or Apache Flink
Experience with data visualization tools such as Tableau, Power BI, or QlikView

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a skilled remote Data Solution Architect with expertise in Databricks, to join our team, working with a leading provider of data-driven solutions for businesses worldwide.

We are seeking a skilled remote Data Solution Architect with expertise in Databricks , to join our team, working with a leading provider of data-driven solutions for businesses worldwide. In this position, you will be responsible for designing and implementing complex data solutions, utilizing your extensive knowledge of data software engineering and Big Data technologies. You will work closely with cross-functional teams to identify and analyze business requirements, providing valuable insights and recommendations to support data-driven decision-making. If you are passionate about data and have experience in designing and implementing scalable data solutions, we invite you to apply for this exciting opportunity.

responsibilities

Design and implement complex data solutions, utilizing your expertise in Big Data technologies and programming languages
Collaborate with cross-functional teams to identify and analyze business requirements, providing valuable insights and recommendations to support data-driven decision-making
Develop and optimize data pipelines, ensuring scalability, reliability, and performance
Implement data security and privacy measures, ensuring compliance with data protection regulations
Monitor and analyze data performance metrics, identifying and addressing potential issues and bottlenecks
Maintain and update data documentation, ensuring accuracy and completeness
Participate in code reviews, offering input on code quality and potential improvements

requirements

Minimum of 7 years of professional experience in Data Software Engineering
Minimum of 2 projects in a technical team lead role with constant hands-on work during the last 3 years
At least 1 year of experience as a Data Solution Architect
Expertise in Apache Spark, Databricks, and other Big Data technologies
Experience in programming languages such as Python and Scala
Practical experience with Microsoft Azure and other cloud-based platforms
Completed Databricks Data Engineering Professional certification
Strong analytical and problem-solving skills, allowing you to identify and analyze complex business requirements
Excellent organizational skills and attention to detail, crucial for meticulous data engineering efforts
Ability to work independently and manage multiple projects simultaneously, maintaining a high level of performance even under pressure
Fluent spoken and written English and Spanish at an Upper-Intermediate level or higher

nice to have

Experience in data modeling, data warehousing, and database design
Knowledge of machine learning and data science concepts and tools
Experience with data visualization tools such as Tableau or Power BI
Experience with containerization technologies such as Docker or Kubernete

lead big data engineer

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working with a leading provider of cloud-based solutions for the financial services industry.

In this position, you will be responsible for managing and developing the company's big data infrastructure, collaborating with cross-functional teams to design and implement scalable and reliable data solutions. You will also be responsible for driving the adoption of new technologies and tools to enhance the company's data processing capabilities. If you are passionate about big data and have experience in managing complex data systems, we invite you to join our team.

responsibilities

Design and develop big data solutions using Apache Spark and Databricks, ensuring scalability and reliability
Collaborate with cross-functional teams to understand business requirements and design data solutions to meet them
Optimize data processing and analytics performance using advanced techniques and tools
Develop and maintain data pipelines and ETL processes using Python and Scala
Ensure the quality and integrity of data by implementing data validation and testing processes
Drive the adoption of new technologies and tools to enhance the company's data processing capabilities
Manage and mentor junior engineers, providing guidance and support in their daily tasks
Ensure compliance with data privacy and security regulations

requirements

A minimum of 5 years of experience in Data Software Engineering
Strong experience in Apache Spark and Databricks, highlighting your proficiency in big data processing and analytics
Proficiency in programming languages such as Python and Scala, enabling you to develop and maintain data pipelines and ETL processes
Hands-on experience in Microsoft Azure, including Azure Data Factory, Azure Databricks, and Azure Blob Storage
Completed Databricks Data Engineering Professional certification, demonstrating your in-depth knowledge of Databricks and its features
Strong problem-solving skills and attention to detail, allowing you to identify and resolve complex data issues
Experience in managing and mentoring junior engineers, showcasing your leadership skills and ability to work with cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication with international teams

nice to have

Experience with other big data technologies such as Hadoop, Hive, and Kafka
Knowledge of data visualization tools such as Tableau or Power BI
Experience with data warehousing and data modeling techniques

big data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a skilled Big Data Solution Architect to join our remote team, working with a leading technology company that specializes in big data solutions.

In this position, you will play a critical role in designing and implementing data engineering solutions using Databricks on the Microsoft Azure platform. You will work closely with cross-functional teams to develop and deliver scalable, high-performance data solutions that meet the needs of our clients. If you are a problem solver with a passion for big data and a strong technical background, we invite you to apply for this exciting opportunity.

responsibilities

Design and implement data engineering solutions using Databricks on the Microsoft Azure platform
Develop and deploy scalable, high-performance data solutions that meet the needs of our clients
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Provide technical guidance and support to team members and clients, ensuring successful project delivery
Conduct code reviews and ensure adherence to best practices and coding standards
Identify and troubleshoot issues with data pipelines and implement solutions to optimize performance and reliability

requirements

7+ years of real production experience in Big Data
2+ projects in a technical team lead role with constant hands-on work during the last 3 years
1+ years of experience as a Big Data Solution Architect
Completed Databricks Data Engineering Professional certification, showcasing your proficiency in Databricks development and deployment
Hands-on experience with Apache Spark, Python, and Scala, enabling you to design and implement data engineering solutions
Strong knowledge of Microsoft Azure, including its data services and cloud infrastructure
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Strong analytical and problem-solving skills, critical for designing and implementing complex data solutions
Ability to work independently and manage multiple projects simultaneously
English at an Upper-Intermediate level or higher, enabling effective communication
Fluent in spoken and written Spanish

nice to have

Experience in data modeling and database design
Familiarity with other big data technologies, such as Hadoop or Kafka
Knowledge of machine learning and data science concepts
Experience with data visualization tools, such as Tableau or Power BI

lead big data developer (python)

Data Software Engineering

Amazon Web Services, PySpark, Python

40 hrs/week

12+ months

Colombia

We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working on a cutting-edge project that leverages computer vision and machine learning to provide innovative solutions for our clients.

In this position, you will be responsible for designing and implementing data pipelines, developing and maintaining data infrastructure, and collaborating with cross-functional teams to ensure seamless integration with the company's products and services. If you are passionate about data engineering and have a strong background in computer vision and machine learning, we invite you to apply for this exciting opportunity.

responsibilities

Design and implement data pipelines, data infrastructure, and data storage solutions, ensuring scalability and performance
Collaborate with cross-functional teams to integrate data solutions with the company's products and services
Develop and maintain data infrastructure, ensuring data quality, consistency, and reliability
Lead and mentor a team of data engineers, providing guidance and support to ensure high-quality deliverables
Optimize data processing and analysis using PySpark and Python, and develop and deploy computer vision and machine learning models
Conduct code reviews and ensure adherence to best practices and coding standards

requirements

A minimum of 5 years of experience in Data Software Engineering, showcasing your expertise in designing and implementing data pipelines, data infrastructure, and data storage solutions
1+ years of relevant leadership experience
In-depth knowledge of Amazon Web Services, including experience with core services such as EC2, S3, and Lambda
Expertise in PySpark and Python, with a solid understanding of data processing and analysis
Strong background in computer vision and machine learning engineering, with experience in building and deploying models
Experience with distributed computing frameworks such as Apache Spark and Hadoop, and the ability to optimize performance and scalability
Excellent communication skills and the ability to collaborate effectively with cross-functional teams, including data scientists, product managers, and software engineers
Ability to lead and mentor a team of data engineers, providing guidance and support to ensure high-quality deliverables
Fluent spoken and written English at an upper-intermediate level or higher

nice to have

Experience with data visualization tools such as Tableau or Power BI
Knowledge of natural language processing and text analytics
Experience with containerization and orchestration technologies such as Docker and Kubernetes

senior big data engineer (python)

Data Software Engineering

Amazon Web Services, PySpark, Python

40 hrs/week

12+ months

Colombia

We are looking for a highly skilled remote Senior Big Data Engineer to join our team and work on complex data engineering projects.

In this position, you will be responsible for building and maintaining data pipelines and infrastructure, integrating data within Kubeflow and Databricks using PyTorch and its ecosystem, and creating data tools for analytics and data scientist team members. The ideal candidate will have extensive experience in AWS, Python, Computer Vision, Machine Learning Engineering, SQL and NoSQL databases, and Terraform, and will be comfortable working in a fast-paced, dynamic environment.

responsibilities

Create and maintain optimal data pipelines for ingesting machine logs, image data, and various other types of datasets
Assemble large, complex data sets that meet functional and non-functional business requirements
Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, Databricks Spark, and AWS 'big data' technologies
Build and enhance CVML pipelines, integrate data within Kubeflow and Databricks using PyTorch and its ecosystem
Work with stakeholders from the Product, Data, and Infra teams to assist with data-related technical issues and support their data infrastructure needs
Create data tools for analytics and data scientist team members that assist them in building and optimizing their workflows
Triage and fix support issues related to data anomalies

requirements

A minimum of 3 years of experience in Data Software Engineering, with a proven track record of delivering high-quality results
Extensive experience in Amazon Web Services (AWS), including EC2, S3, Lambda, and EMR
Expertise in PySpark, Python, and SQL databases, with a deep understanding of data structures and algorithms
Strong knowledge of Computer Vision and Machine Learning Engineering, with experience in building and enhancing CVML pipelines
Experience with Apache Kafka and NoSQL databases, such as MongoDB or Cassandra
Proficiency in Terraform for infrastructure as code
Excellent problem-solving skills and ability to work independently
Strong communication skills and ability to collaborate effectively with cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher

nice to have

Experience with other big data technologies, such as Hadoop or Hive
Expertise in data visualization tools, such as Tableau or Power BI
Knowledge of DevOps practices and tools, such as Jenkins or GitLab
Experience with containerization and orchestration tools, such as Docker or Kubernetes
Familiarity with data privacy and security regulations, such as GDPR or CCPA

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a talented remote Data Solution Architect to join our team and work on a cutting-edge project in the field of data analytics.

responsibilities

Design and develop data pipelines using Apache Spark and Databricks, ensuring data quality and reliability
Collaborate with cross-functional teams to understand business requirements and design efficient data solutions
Implement and maintain data ingestion processes, including data validation and cleansing
Develop and maintain data processing workflows using Python, Scala, and other relevant languages
Monitor and optimize data pipelines to ensure efficient and scalable data processing
Contribute to the development of data architecture and infrastructure, including the selection and implementation of appropriate tools and technologies
Document data pipelines and processes, ensuring clear and concise communication with stakeholders

requirements

Minimum of 7 years of real production experience in Data Software Engineering
Minimum of 2 projects in a technical team lead role with constant hands-on work during the last 3 years
At least 1 year of experience as a Data Solution Architect
Hands-on experience with Apache Spark and Databricks, showcasing your ability to develop and maintain data pipelines
Strong programming skills in Python, Scala, and other relevant languages, enabling you to write efficient and scalable code
Experience working with Microsoft Azure, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks
Completed Databricks Data Engineering Professional certification, showcasing your knowledge and expertise in Databricks
English at an Upper-Intermediate level or higher, enabling effective communication
Fluent spoken and written Spanish

nice to have

Experience with other Big Data technologies, such as Hadoop, Kafka, or Cassandra
Experience with containerization technologies, such as Docker or Kubernetes
Knowledge of Data Science and Machine Learning concepts
Experience with Agile methodologies and project management tools, such as JIRA or Trello

Tableau data analyst vacancies at EPAM Anywhere

Companies actively adopting digital technologies and automating processes are creating large volumes of data. Their size can even reach terabytes and zettabytes. Processing and structuring such volumes is a very complex task, which is why Tableau products are used.

Such work requires appropriate skills and time, so dedicated developers are hired for it. In this regard, Tableau analyst jobs are very popular. Many offers include the possibility of comfortable remote work, a foundation for a future career, and a competitive salary.

Experience, level, and education required for Tableau analyst jobs

Employers are looking for active developers with analytical thinking skills and relevant qualifications. While the former skills can be checked during and interview, certificates, diplomas, and a portfolio will help to confirm your Tableau knowledge.

Most jobs require a bachelor's degree, while some offers require a master's degree. As for majors, employers are looking for graduates in computer technology, engineering, informatics, statistics, or economics. In any case, it is important to have a deep knowledge of Tableau tools. After all, it is with this product that the developer needs to work.

A detailed description of Tableau data analyst jobs

Employers are looking for developers with deep knowledge of statistics and analytics. This is required for productive work with the Tableau system, the essence of which is to perform the following duties:

Management of large volumes of data
Data collection and analysis (automatically and manually)
Designing reporting dashboards
Creating visualizations for data obtained by using the Tableau tool
Transformation of abstract data into easily digestible formats

Companies posting Tableau data analyst jobs also expect the developer to have the ability to identify business process bottlenecks and propose solutions. This requires extensive experience not only with Tableau tools but also with various software products and applications.

Required knowledge and skills for Tableau data analyst jobs

The main skills that the developer will need are the ability to work with all components of the Tableau system, such as Reader, Online, Server, Public, and Desktop. In addition, data analyst Tableau jobs require a number of other skills:

The ability to think analytically
Knowledge of SQL
In-depth knowledge of databases
Ability to solve complex problems related to databases and business processes.

It is also important for a developer to have good communication skills, as well as the ability to work in a team.

Apply for Tableau data analyst jobs at EPAM Anywhere

Many companies currently offer work for job seekers with this qualification. If you are interested in a remote format with a flexible schedule and competitive pay, you can consider jobs at EPAM Anywhere.

Interesting and promising data analysis using Tableau jobs suitable for ambitious and active developers are presented here. Additional benefits include the opportunity to build a dream career, ongoing support, and training at our company's online learning center.

Tableau Data Analyst Jobs

Tableau data analyst vacancies at EPAM Anywhere

Experience, level, and education required for Tableau analyst jobs

A detailed description of Tableau data analyst jobs

Required knowledge and skills for Tableau data analyst jobs

Apply for Tableau data analyst jobs at EPAM Anywhere

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