Work from home Data Analyst Jobs

EPAM Anywhere is looking for WFH Data Analysts.

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lead data scientist

Data Science

Data Analysis, Data Science Commons, Machine Learning

40 hrs/week

12+ months

Brazil, Portugal

We are seeking a Lead Data Scientist to join our remote team.

In this role, you will be responsible for the full data mining process, including data collection, cleansing, exploratory analysis, and development of Artificial Intelligence models such as Machine Learning. You will be proposing solutions and strategies to tackle business challenges. Your role will be essential in driving innovation and accelerating business growth through the use of data analytics and insights.

responsibilities

Lead and mentor a team of Data Scientists towards technical excellence and deliver projects on-time and within budget
Collaborate with cross-functional teams to identify business challenges and opportunities for data-driven solutions
Perform data analysis and develop predictive models to generate insights and recommendations for business decisions
Design and implement Machine Learning models and algorithms to solve complex business problems
Propose data-driven strategies and solutions to tackle business challenges and drive innovation
Stay up-to-date with the latest trends and advancements in Data Science and Machine Learning, and apply them to enhance our capabilities

requirements

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or equivalent experience
A minimum of 5 years of experience in Data Science, with a focus on Machine Learning and Data Analysis
Proven track record of leading and mentoring a team of engineers
Experience in developing and implementing predictive models and algorithms
Expertise in Data Science Commons, with proficiency in tools such as Python, R, SQL, etc.
Capability to lead and mentor a team of Data Scientists towards technical excellence and deliver projects on time and within budget
Ability to communicate complex ideas and insights effectively to both technical and non-technical stakeholders
Fluency in spoken and written English and Portuguese, allowing for effective communication with teams and stakeholders

nice to have

Experience in developing and deploying scalable Machine Learning models in a production environment
Familiarity with Big Data technologies such as Hadoop, Spark, etc.
Experience in Natural Language Processing (NLP) and Deep Learning

senior data engineer

Data Software Engineering

Python, Databricks, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking a highly skilled Senior Data Engineer to join our team and work remotely with one of the biggest American athletic footwear and apparel corporations.

In this role, you will be responsible for developing, constructing, testing and maintaining high-performance data architecture. You will be required to have a deep understanding of data analysis, data modeling, and data warehousing. If you have a passion for data engineering, we encourage you to apply.

responsibilities

Design, develop and maintain data-driven applications and systems
Develop and maintain data pipelines to facilitate efficient data processing and analysis
Create and execute data modeling and analysis strategies
Collaborate with cross-functional teams to analyze business requirements and design solutions that meet the needs of our clients
Identify and troubleshoot data integration and processing issues to maintain data integrity
Optimize and fine-tune data software solutions to ensure enhanced performance and scalability
Develop and maintain technical documentation for data software solutions

requirements

Minimum of 3 years of experience in data engineering
Strong programming skills in Python
Solid understanding of database technologies, data integration and ETL processes
Proficiency in Amazon Web Services (AWS) and Databricks
Strong command of data analysis and modeling techniques
Ability to work remotely with excellent communication and collaboration skills
Proven track record in designing and implementing scalable, high-performance data-driven applications and systems
Fluent English language skills with an upper-intermediate level or higher

nice to have

Experience with big data technologies such as Hadoop, Spark and Kafka
Experience with data governance and security best practices

chief data scientist

Data Science

Data Analysis, Data Science Commons, Machine Learning

40 hrs/week

12+ months

Brazil, Portugal

We are looking for a Chief Data Scientist to lead our remote team in developing Artificial Intelligence models and data analysis solutions.

As the Chief Data Scientist, you will be responsible for the entire data mining process, including collecting, cleansing, and exploratory analysis. You will also be responsible for proposing solutions and strategies to tackle business challenges and developing Artificial Intelligence models such as Machine Learning. Your expertise in data science will be critical in driving our team's success and delivering value to our clients.

responsibilities

Lead the development of Artificial Intelligence models and data analysis solutions
Manage the data mining process, including collecting, cleansing, and exploratory analysis
Propose solutions and strategies to tackle business challenges
Collaborate with cross-functional teams to deliver value to our clients
Stay current with the latest advancements in data science and Artificial Intelligence
Mentor and develop junior team members
Drive thought leadership in the data science and Artificial Intelligence domains

requirements

Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
Minimum of 7 years of experience in data science, with at least 2 years in a leadership role
Proven experience in data analysis, data mining, and exploratory analysis
Expertise in Artificial Intelligence models such as Machine Learning, Deep Learning, and Natural Language Processing
Strong leadership and team management skills, with the ability to inspire and motivate teams
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences
Fluency in both English and Portuguese languages

nice to have

Familiarity with Big Data technologies such as Hadoop, Spark, etc.

lead business analyst

Business Analysis

SAP S4/HANA Extensibility, Scrum, Agile

40 hrs/week

12+ months

Colombia

We're on the lookout for a Lead Business Analyst to become an integral part of our remote team.

The role involves reviewing, eliciting, and authoring formal specifications, as well as facilitating communication of business requirements between our development team and clients in order to design and implement effective business solutions. The successful candidate will be tasked with developing and enhancing business processes within both our technology and business sectors. Furthermore, they will be required to propose and validate technical solutions to meet requirements, taking into account the likely impact on the business and stakeholders.

responsibilities

Reviewing, eliciting, and authoring formal specifications and facilitating business requirement communication between development and clients
Enhancing and developing business processes within technology and business sectors
Recommending and validating technical solutions based on their potential impact on the business and stakeholders
Offering technical guidance to junior Technical Business Analysts
Building and maintaining stakeholder relationships
Applying a structured requirements process to evaluate near-term needs

requirements

A minimum of 5 years in a Business Analyst role, specifically focusing on SAP S4/HANA
Proven experience in leading developer teams and managing successful project outcomes
Familiarity with Scrum and Agile methodologies
Proficiency in Requirements and Change management
Expert skills in elicitation, analysis, validation, and documentation of client business needs and requirements
Capability to propose and validate technical solutions, understanding their impact on the business and stakeholders
A history of establishing and nurturing stakeholder relationships
Exceptional communication abilities, both written and verbal, with a high level of English fluency

nice to have

Experience in researching and analyzing existing processes with an eye for recommending implementable, cost-effective tools within a project department or division
Experience in monitoring metrics to ensure customer satisfaction and recommending new metrics

senior business analyst

Business Analysis

SAP S4/HANA Extensibility, Scrum, Agile

40 hrs/week

12+ months

Colombia

We are seeking a Senior Business Analyst to join our remote team.

This position will require you to review, elicit, and write formal specifications and communicate business requirements between development and the client to design and implement business solutions. You will be responsible for developing and improving business processes within the technology and business organizations and recommending and validating technical solutions to meet requirements based on an understanding of how technical solutions will impact the business and stakeholders.

responsibilities

Review, elicit, and write formal specifications and communicate business requirements between development and client to design and implement business solutions
Develop and improve business processes within the technology and business organizations and understand client requirements, specifying and analyzing these to a sufficient or expert level of detail to ensure clarity of definition
Recommend and validate technical solutions to meet requirements based on an understanding of how technical solutions will impact the business and stakeholders as required
Provide technical guidance to less experienced Technical Business Analysts
Build and maintain a relationship with stakeholders
Monitor and use a structured requirements process to assess near-term needs

requirements

Minimum of 3 years of experience in a Business Analyst role, with a focus on SAP S4/HANA
Familiarity with Scrum and Agile
Knowledge of Requirements and Change management
Expertise in elicitation, analysis, validation, and documentation of client's business needs and requirements
Ability to recommend and validate technical solutions to meet requirements based on an understanding of how technical solutions impact the business and stakeholders
Proven track record of building and maintaining relationships with stakeholders
Excellent communication skills, both written and verbal, with fluency in English at an upper-intermediate level

nice to have

Experience in researching and analyzing current processes and recommending tools for implementation within a project department or division that meets user requirements and is cost-effective
Experience in monitoring and adhering to metrics to ensure customer satisfaction and recommending metrics

senior data integration engineer

Data Integration

ETL/ELT Solutions, Azure Data Lake Storage, Databricks

40 hrs/week

12+ months

Poland

We are seeking a skilled Senior Data Integration Engineer to join our remote team.

We are looking for an experienced Senior Data Integration Engineer to join our team. As a Senior Engineer with 3+ years of relevant production experience, you will play a key role in designing, developing, and implementing data integration solutions. You will leverage your expertise in ETL/ELT solutions, Azure Data Lake Storage, Databricks, Azure Data Factory, MySQL, PostgreSQL, MS SQL.SQL, Oracle, SQL, and Python to deliver high-quality and scalable data integration processes. If you thrive in a challenging environment and have a passion for data integration, we want to hear from you.

responsibilities

Lead the design and development of data integration solutions, including ETL/ELT processes and data pipelines
Collaborate with stakeholders to gather and analyze data integration requirements
Provide technical guidance and mentorship to junior team members
Ensure data quality and consistency across integrated systems
Optimize data integration workflows for performance and scalability
Troubleshoot and resolve complex data integration issues
Stay up-to-date with industry trends and emerging technologies in data integration

requirements

Bachelor's degree in Computer Science, Information Systems, or a related field
3+ years of relevant production experience in data integration
In-depth knowledge of ETL/ELT solutions and data integration best practices
Strong proficiency in Azure Data Lake Storage, Databricks, and Azure Data Factory
Extensive experience with MySQL, PostgreSQL, MS SQL.SQL, and Oracle
Expert-level skills in SQL and Python for data manipulation and transformation
Solid understanding of data modeling and database design principles
Proven track record of successfully delivering complex data integration projects
Strong problem-solving and analytical skills
Excellent communication and leadership abilities
B2+ English level

nice to have

Experience with cloud-based data integration platforms such as AWS Glue or Google Cloud Dataflow
Familiarity with big data technologies like Hadoop and Spark
Knowledge of data warehousing concepts and tools
Understanding of data governance and data management practices
Ability to architect and implement real-time data integration solutions

senior data software engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a fast-paced and innovative company, focusing on cutting-edge technologies for data-driven applications. We are seeking a highly motivated and experienced engineer to work on development and deployment of data solutions. You will work closely with cross-functional teams to design, implement, and optimize data processing systems. This role offers an opportunity to make a significant impact on the company's growth, working with the latest technologies and contributing to the development of complex and scalable systems.

responsibilities

Design, develop and deploy data solutions for various business needs
Collaborate with cross-functional teams to identify and address data-related challenges
Develop and maintain data pipelines for data processing and analysis
Ensure the quality, reliability, and scalability of data systems
Develop data models and schemas for efficient data storage and retrieval
Perform data analysis and provide insights to support business decisions
Develop and maintain documentation for data systems and processes
Perform code reviews and provide feedback to improve code quality and maintainability
Stay up-to-date with the latest technologies and trends in data engineering and analytics

requirements

At least 3 years of experience in Data Software engineering and development
Expertise in one of the languages (Python, Spark, PySpark, SQL) with knowledge on how to build both within dev and enabling deployment to production
Proficient in SQL for data manipulation and analysis
Experience working on one or more cloud platforms (Azure, GCP, AWS). Strong preference for Azure
Expertise in Databricks for data processing and analytics
Experience with Azure DevOps, GitHub, (or others) and version control for code management
Experience with developing end-to-end production solutions
Strong problem-solving skills with the ability to debug complex issues
Experience with data engineering and analytical development
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with RESTful APIs and integration with external systems
Experience with machine learning and data science
Experience with CI/CD tools such as Jenkins for automated deployment
Experience with data visualization tools such as Power BI or Tableau

senior data engineer

Data Integration

Microsoft SQL Server, SQL, SQL SSIS

40 hrs/week

12+ months

Poland

We are seeking a highly skilled remote Senior Data Engineer to join our team.

The successful candidate will have 3+ years of relevant work experience and will be a key developer responsible for developing complex solutions for our clients using Microsoft SQL Server. They will participate in the analysis, design, implementation, and maintenance of our projects, ensuring database performance, security, and availability.

responsibilities

Implement Data Integration solutions using SQL SSIS
Participate in the design, development, and testing of database solutions
Ensure database performance, security, and availability
Collaborate with team members and stakeholders to implement solutions that meet business requirements
Provide guidance and support to junior team members

requirements

3+ years of relevant work experience
Hands-on experience with Data Integration tools, particularly SQL SSIS
Bachelor's or higher degree in Computer Science or related field is preferred
Strong SQL skills and proficiency in Microsoft SQL Server
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
B2+ English level

nice to have

Experience working with remote teams and clients
Experience providing technical guidance and support to junior team members
Familiarity with additional database platforms and technologies
Knowledge of Agile methodologies and best practices
Ability to adapt to a fast-paced and dynamic work environment

senior data software engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a global leader in providing innovative solutions for data management and analytics. We are looking for a highly skilled and experienced engineer who will be responsible for developing and implementing data solutions, as well as ensuring the quality, performance, and scalability of data systems. This role offers an opportunity to work with cutting-edge technologies and to contribute to the continued growth of our company and its clients.

responsibilities

Designing, developing, and implementing data solutions in collaboration with stakeholders
Ensuring the quality, performance, and scalability of data systems through regular maintenance and optimization
Identifying and resolving issues related to data quality, data processing, and data integration
Providing support for data-related issues and incidents
Collaborating with cross-functional teams to deliver customer-centric solutions
Defining and implementing data management best practices and standards
Creating and maintaining technical documentation for data systems and solutions
Ensuring compliance with data security and privacy regulations
Leading and mentoring less experienced team members to enhance their skills and grow their careers
Participating in code reviews and ensuring adherence to coding standards
Staying up-to-date with emerging data technologies and trends

requirements

At least 3+ years of solid/hands-on experience in Data Software Engineering
Expertise in PySpark for data processing and analysis
Experience working with Azure Data Factory for building and managing data pipelines
Advanced SQL knowledge for designing and managing database schema, including procedures, triggers, and views
Proficiency in Python for data manipulation and scripting
Experience with cloud-based data management tools such as hdinishght, Azure Data Lake, and Data API
Knowledge of Spark, Scala, and Kafka for distributed computing and real-time data processing
Expertise in Databricks for data engineering and analytics
Experience with EDL changes in DB Views/Stored procedures
Experience in data analysis and troubleshooting
Ability to provide integration testing support
Ability to plan and implement new requirements/data entities on EDL
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Hadoop, Hive, and MapReduce is a plus
Familiarity with AWS, GCP, or other cloud platforms is a plus

lead data software engineer

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

India

We are in search of a skilled Lead Data Software Engineer for a remote position, ready to contribute to our team's success and bolster our Data Science endeavors.

As the Lead Data Software Engineer, you'll be instrumental in crafting and sustaining datamarts, ensuring the delivery of efficient and scalable data solutions that meet the unique needs of our clients. Your primary focus will revolve around constructing and maintaining data pipelines, offering on-call support, and fostering collaboration with Data Science teams to deliver top-tier solutions. Additionally, you'll be tasked with steering a group of proficient professionals, providing mentorship and guidance to empower them to produce cutting-edge solutions for the industry.

responsibilities

Guide and nurture the Data Software Engineering team, cultivating a culture of continual learning and growth within the unit
Collaborate with interdisciplinary teams to furnish top-notch data solutions aligning with project objectives and timelines
Forge and uphold robust Data Software Engineering processes and practices emphasizing automation, innovation, and efficiency
Ensure the realization and upkeep of streamlined and scalable data solutions utilizing AWS services
Supervise the fine-tuning of data processing and workflow management through Apache Airflow and Apache Spark
Consistently assess industry trends and best practices to enhance and implement the most potent Data Software Engineering strategies
Provide on-call assistance for data pipelines and datamarts
Direct the team in crafting and deploying REST APIs for seamless data integration and communication
Engage directly with clients to comprehend their requirements and deliver tailored, effective solutions
Steer the organization and structure of the team, guaranteeing the prompt and efficient delivery of projects
Collaborate with stakeholders, showcasing excellent communication and leadership skills

requirements

A minimum of 5 years of experience as a Data Software Engineer, engaged in substantial projects and intricate data infrastructures
At least 1 year of confirmed leadership experience, adeptly managing and motivating a team of Data Software Engineers
Proficiency in Amazon Web Services, encompassing the design and implementation of scalable and effective data solutions
Substantial expertise in Apache Airflow and Apache Spark, ensuring streamlined data processing and workflow management
Advanced familiarity with at least one CI/CD tool, preferably Jenkins, for the efficient delivery of data pipelines
Proficiency in Python and SQL, facilitating the creation and upkeep of data pipelines and ETL processes
Experience with Databricks and PySpark for data processing and analysis
Acquaintance with REST APIs for seamless data integration and communication
Robust analytical skills, empowering adept problem-solving and decision-making in intricate environments
Effective client-facing skills, facilitating clear communication and collaboration to attain project objectives
Exceptional organizational and structuring abilities, championing the efficient delivery of projects
Upper-intermediate proficiency in the English language, enabling clear collaboration, presentation, and discussion with the team and stakeholders

nice to have

Background with Redshift for data warehousing and analysis

Work from home data analyst jobs at EPAM Anywhere

Discover the freedom of remote work with work-from-home data analyst jobs at EPAM Anywhere. As a data analyst, you'll have the opportunity to work on various projects and to help businesses make informed, data-driven decisions.

Enjoy the work from home as a data analyst while still part of a supportive and collaborative team. With EPAM Anywhere, you can balance your personal life and career without sacrificing professional growth. If you're a seasoned data analyst looking for a challenging yet flexible role, explore our current job openings.

Key requirements for data analyst jobs (work from home) at EPAM Anywhere

Here are the key requirements for work-from-home data analyst jobs at EPAM Anywhere:

Proficiency in data analysis tools: You should be skilled in using tools like SQL, Python, or R.
Understanding of statistical analysis: Data mining and visualization knowledge is crucial.
Problem-solving skills: You should be able to tackle complex data-related problems.
Attention to detail: This is key to ensuring accuracy in your analysis.
Experience with big data platforms: Familiarity with platforms like Hadoop or Spark is a plus.
Self-motivation and independence: Remote work requires discipline and excellent time management skills.

Job responsibilities of data analyst WFH jobs at EPAM Anywhere

Taking up one of the WHF data analyst jobs at EPAM Anywhere, your responsibilities will include:

Collecting and interpreting data: You'll need to gather data and draw meaningful insights.
Developing and implementing data analyses: You'll use statistical techniques to create solutions for data-related problems.
Creating data visualizations: You'll present data clearly, visually to help stakeholders understand the information.
Ensuring data quality and integrity: You'll need to validate your data sources and ensure the information is accurate and reliable.
Collaborating with team members: Even though you're working remotely, you'll need to communicate and collaborate effectively with your team.

Soft skills required to work from home as a data analyst

Working from home as a data analyst at EPAM Anywhere requires not only technical skills but also certain soft skills:

Communication: You'll need to convey your findings to technical and non-technical team members.
Time management: With the flexibility remote work provides, it's essential to take responsibility and ensure that you're being productive and efficient with your time.
Self-motivation: Staying motivated and focused is crucial without the structure of a traditional office.
Problem-solving: You'll often need to think creatively to find solutions to complex data problems.
Adaptability: The ability to adjust to new tools and technologies is key in this ever-evolving field.

Work from home Data Analyst Jobs

Work from home data analyst jobs at EPAM Anywhere

Key requirements for data analyst jobs (work from home) at EPAM Anywhere

Job responsibilities of data analyst WFH jobs at EPAM Anywhere

Soft skills required to work from home as a data analyst

Other skills