Work from home Data Analyst Jobs

EPAM Anywhere is looking for WFH Data Analysts.

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senior data & web analyst

Web Analytics

Google Analytics, Google Cloud BigQuery, Google Tag Manager

40 hrs/week

12+ months

Poland

We are seeking a Senior Data & Web Analyst with expertise in Google Analytics and Google Cloud BigQuery to join our remote team.

The ideal candidate will have a strong proficiency in English and a data-oriented mindset, essential for troubleshooting and improving product performance, enhancing user experience, and conversion rates. They will be responsible for strategically guiding and assessing whether the data and reports answer key business queries and identifying and consolidating the main data points within the user journey. The candidate will design and implement data analytics/visualization solutions, collaborate with product and engineering teams, and write project documentation.

responsibilities

Collect business requirements and evaluate new features and architecture
Design and implement data visualizations for product and commercial teams
Build collaborative partnerships with stakeholders, agencies, and development teams
Perform detailed analysis of business problems and technical environments
Actively participate in code review and testing of solutions
Write and maintain documentation
Establish effective cross-functional collaboration between product, UX, user testing, and analytics teams

requirements

3+ years of experience in Web Analytics
Proficiency in Google Analytics and Google Cloud BigQuery
Experience in data visualization and user journey optimization
Skilled in SQL, Looker, and Google Tag Manager
Ability to troubleshoot and improve product performance and enhance user experience
Strong analytical and problem-solving skills
Excellent communication and presentation skills in English
Experience in working with data streams from various services and turning technical language into layman's terms
Awareness of GDPR compliance

nice to have

Experience in app, web, and digital analytics
Familiarity with Firebase, Google Analytics 4, and Looker/Metabase
Knowledge of basic SQL

lead data & web analyst

Web Analytics

Google Analytics, Google Cloud BigQuery, Google Tag Manager

40 hrs/week

12+ months

Poland

Our remote team is looking for a Lead Data & Web Analyst who is adept in Google Analytics and Google Cloud BigQuery.

The perfect fit for this role will exhibit strong English language skills and a data-oriented approach, which is crucial for troubleshooting and enhancing product performance, as well as user experience and conversion rates. The role involves strategic guidance to ensure data and reports answer key business questions, identifying and consolidating the main data points in the user journey. The candidate will also be tasked with designing and implementing data analytics/visualization solutions, collaborating with product and engineering teams, and drafting project documentation.

responsibilities

Gathering business requirements and assessing new features and architecture
Creation and implementation of data visualizations for product and commercial teams
Building collaborative relationships with stakeholders, agencies, and development teams
Detailed analysis of business issues and technical environments
Active participation in code review and solution testing
Writing and maintaining documentation
Establishing cross-functional collaboration between product, UX, user testing, and analytics teams

requirements

A minimum of 5 years of experience in Web Analytics
At least 1 year of relevant leadership experience
Proficiency in Google Analytics and Google Cloud BigQuery
Experience with data visualization and user journey optimization
Skills in SQL, Looker, and Google Tag Manager
Capability to troubleshoot, improve product performance, and enhance user experience
Strong analytical and problem-solving skills
Excellent communication and presentation skills in English
Experience with data streams from various services and translating technical language into layman's terms
Awareness of GDPR compliance

nice to have

Experience in app, web, and digital analytics
Familiarity with Firebase, Google Analytics 4, and Looker/Metabase
Understanding of basic SQL

credit management analyst

Accounting and Financial

Credit Risk Management, Loan management, Finance Review

40 hrs/week

12+ months

Colombia

We are currently looking for a Credit Management Analyst for the Business Partnering Service unit to strengthen the team even further.

In this position, you are going to work with Business Partnering Services (BPS) - part of EPAM`s Global Finance department, responsible for administrative and financial functions in terms of the relationship between EPAM leadership and EPAM Clients. You will join the team of 300+ specialists to help business to grow business. The Credit Management Analyst will be responsible for performing analysis of customers’ creditworthiness and ensuring mitigation of credit risk.

responsibilities

Perform credit analysis to recommend internal credit ratings and prepare a written analysis substantiating your assessment
Conduct periodic reviews of existing customers’ creditworthiness

requirements

Strong knowledge of accounting principles and comfort with evaluating financial statements and business models across a range of industries
The ability to transform business and financial data into a cohesive narrative that outlines potential credit risks
2+ years of relevant experience with knowledge of commercial credit underwriting and credit risk management
At least an upper-intermediate level of English
Highly detail-oriented, possession of proven organizational and analytical skills and is able and willing to work efficiently in a fast-paced, dynamic work environment
Excellent interpersonal and verbal/written communication skills
Highly proficient in Microsoft Office

senior credit management analyst

Accounting and Financial

Credit Risk Management, Loan management, Finance Review

40 hrs/week

12+ months

Colombia

We are currently looking for a Senior Credit Management Analyst for the Business Partnering Service unit to strengthen the team even further.

We are currently seeking a Senior Credit Management Analyst to join our Business Partnering Service unit, and further bolster our team. As a member of the Business Partnering Services (BPS), a subdivision of EPAM's Global Finance department, you will be handling administrative and financial functions related to the interaction between EPAM leadership and EPAM Clients. By joining our team of over 300 specialists, you will contribute to the expansion of the business. The role of the Credit Management Analyst includes conducting analyses of clients' creditworthiness and ensuring that credit risk is minimized.

responsibilities

Undertaking credit analysis to support internal credit ratings and compile a written evaluation backing your assessment
Carrying out regular reviews of existing clients' creditworthiness

requirements

In-depth understanding of accounting principles and ease with assessing financial statements and business models across diverse industries
Capacity to consolidate business and financial data into a cohesive narrative emphasizing potential credit risks
A minimum of three years of pertinent experience, including knowledge of commercial credit underwriting and credit risk management
Minimum of upper-intermediate proficiency in English
Highly detail-focused, with demonstrable organizational and analytical skills, and ability to work efficiently in a fast-paced, dynamic work setting
Exceptional interpersonal skills and proficiency in verbal/written communication
High level of proficiency in Microsoft Office

senior data software engineer

Data Software Engineering

Python.Core, Pandas, Databricks

40 hrs/week

12+ months

Poland

We are seeking a highly skilled Senior Data Software Engineer to join our remote team for a government project aimed at boosting the capacities of administrative service centers to deliver accessible and inclusive assistance.

In this role you will be responsible for developing and implementing data pipelines for collecting data from various sources, as well as creating regular reports and dashboards using Power BI tools. If you have a passion for data-driven solutions and want to work on a project that has a positive impact on society, we encourage you to apply.

responsibilities

Design and implement scalable, high-performance data software solutions that meet project requirements
Develop and implement data pipelines for collecting data from various sources
Create regular reports and dashboards using Data Analysis and Visualization tools as needed
Write data transformations using advanced scripting
Collaborate with cross-functional teams to conceptualize, design, develop, and implement effective data solutions
Ensure data quality and integrity throughout the data lifecycle
Develop and maintain technical documentation for data solutions
Stay up-to-date with emerging trends and technologies in data software engineering

requirements

At least 3 years of experience in Data Software Engineering
Expertise in Python programming and core Python libraries such as Pandas
Experience with Power BI Report Development and Jupyter Notebook
Strong knowledge on Databricks and Amazon Web Services
Experience with data modeling and database design
Proven ability to design and implement scalable, high-performance data software solutions
Familiarity with Agile methodologies and software development best practices
Excellent written and oral communication skills in English (Upper-Intermediate level)

nice to have

Experience with data visualization tools such as Tableau or QlikView
Familiarity with data warehousing and ETL processes

senior data developer

Data Software Engineering

Python, Apache Spark, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking a highly skilled Senior Data Software Engineer to join our remote team, working on a tech-enabled healthcare delivery system focused on improving the health of diverse populations.

We are seeking a highly skilled Senior Data Software Engineer to join our remote team, working on an integrated, holistic, and tech-enabled healthcare delivery system focused on improving the health of diverse populations. As a Senior Data Software Engineer, you will be responsible for designing and maintaining data integration pipelines and ETL/ELT workflows, implementing end-to-end data solutions. You will work closely with stakeholders to analyze data requirements and collaborate with the data science team to identify optimal solutions for problems related to data quality, reliability, and performance.

responsibilities

Design and maintain data integration pipelines and ETL/ELT workflows
Develop and implement end-to-end Data solutions to meet business requirements
Ensure that data solutions are scalable, secure, and optimized for performance
Work with stakeholders to analyze data requirements and implement data models that support business objectives
Collaborate with the data science and engineering team members to identify optimal solutions for problems related to data quality, reliability, and performance

requirements

3+ years of experience in Data Software Engineering, demonstrating your expertise in AWS, Apache Spark, PySpark
Demonstrated experience in designing and maintaining data integration pipelines and ETL/ELT workflows
Proficient in implementing best practices for data management, data governance, quality control, and data security
Ability to work independently and manage stress effectively, maintaining a high level of performance even under pressure
Fluent spoken and written English at a B2 level or higher

nice to have

Experience in Integration Management

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

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

The right candidate will have a strong technical background with expertise in Apache Spark, Microsoft Azure, and Python. This position offers a unique opportunity to work on a high-impact project with one of the world's most recognized brands.

responsibilities

Collaborate with cross-functional teams to build and maintain the data integration solution
Develop, build, and optimize data pipelines using Apache Spark, Microsoft Azure, and Python
Ensure data pipelines are scalable, maintainable, and reliable
Take data science models and make them production ready
Develop and maintain forecasting models to support business decisions
Ensure data quality and consistency across all data sources
Monitor and optimize data pipelines to ensure efficient and effective data processing
Collaborate with data scientists to develop and implement machine learning models
Work with the team to continuously improve and optimize the data integration solution for Fedex
Stay current with emerging technologies and trends in data software engineering

requirements

At least 3+ years of experience in data software engineering or similar roles
Expertise in Apache Spark, Microsoft Azure, and Python
Strong knowledge of forecasting models, data science, and MLOps
Experience working with Databricks to build, maintain, and optimize data pipelines
Ability to take data science models and make them production ready
Experience with Git for version control
Understanding of basic Azure concepts including clouds, regions, ADLS, and compute
Strong analytical and problem-solving skills with the ability to think critically and creatively
Experience working in Agile development environments
Excellent English communication skills, both written and verbal (B2+ level)

nice to have

Experience with Panda for data manipulation and analysis
Strong knowledge of SQL and relational tables
Understanding of statistical models and the ability to develop models utilizing Python, Spark, etc.
Knowledge of ML tools space

senior data software engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer with experience in PySpark, Azure Data Factory, and advanced SQL for the project.

The ideal candidate must have at least 2 years of solid/hands-on experience in Data Software Engineering with primary skills in Big Data and a strong data background.

responsibilities

Conduct data analysis and troubleshootin
Plan and implement new requirements/data entities on ED
Provide support for integration testing
Make sure data pipelines are scalable and efficient

requirements

3+ years of relevant work experience
Must have skills in DSE Python and Azure Databricks
Familiarity with EDL changes in DB Views/Stored procedures and integration testing support
Advanced knowledge of PySpark, Azure Data Factory, and SQL
Ability to collaborate effectively with the team
Excellent communication skills with an upper-intermediate level of English

nice to have

Experience with HDInsight, Azure Data Lake, Data API, Spark, Scala, and Kafka will be an added advantage

senior data software engineer

Data Software Engineering

Python, PySpark, Databricks

40 hrs/week

12+ months

Poland

We are seeking a highly skilled Senior Data Software Engineer to join our team, working with one of the biggest sportswear brands in the world.

We are seeking a highly skilled Senior Data Software Engineer to join our remote team, working with one of the biggest sportswear brands in the world. As a Senior Data Software Engineer, you will play a crucial role in designing, developing, and maintaining data engineering solutions. You will be responsible for building scalable and reliable data pipelines, ensuring data quality, and optimizing data processing performance. If you have a passion for data engineering and are excited about working with cutting-edge technologies, we invite you to join us.

responsibilities

Design, implement, test and deliver robust, scalable and reusable data processing and ETL solutions
Automate data extraction, transformation and provisioning, irrespective of type of source and target
Participate in testing activities, create own test cases, manage test data, set up environments
Drive collaborative reviews of design, code, test cases and dataset implementation performed by other data engineers in support of maintaining data engineering standards
Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
Mentor and develop other data engineers in adopting best practices
Represent the team as technical ambassador

requirements

A minimum of 3 years of experience in Data Software Engineering, showcasing your expertise in designing and developing data engineering solutions
Strong proficiency in Python, PySpark, Databricks, enabling you to build scalable and reliable data pipelines
Solid understanding of data structures and algorithms, enabling you to optimize data processing performance
Good knowledge of Amazon Web Services (AWS) or other cloud platform tools
Experience working with Data warehousing tools, including Dynamo DB, Amazon Redshift, and Snowflake
Average CI/CD knowledge and experience using CI tools like Jenkins
Good testing experience with some of the most common tools in the market (PyTest, Nose, Cucumber, JBehave, etc.)
Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication

nice to have

Experience in building and deploying machine learning models
Familiarity with Apache Airflow or other workflow management tools

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 leading tech firm. In this role, you will be responsible for designing, building, and optimizing robust data pipelines to support our cutting-edge applications. The successful candidate will have deep expertise in one of the languages (Python, Spark, PySpark, SQL) and be able to build within dev and enable deployment to production. We are seeking a thoughtful and reliable engineer who is capable of tying together solutions across systems and delivering end-to-end production solutions.

responsibilities

Design and implement scalable data pipelines to support our cutting-edge applications
Ensure data quality and data accuracy across all stages of data processing
Collaborate with cross-functional teams to understand business requirements and develop solutions that meet their needs
Develop and maintain codebase in accordance with industry best practices and standards
Troubleshoot and resolve issues in a timely and effective manner
Optimize data processing algorithms and improve application performance
Ensure compliance with data security and data privacy regulations
Conduct code reviews and ensure high code quality and compliance with standards and guidelines
Participate in architectural and technical discussions to help shape the product roadmap
Stay up-to-date with emerging trends and technologies in data engineering and analytics

requirements

At least 3+ years of experience as a Data Software Engineer or in similar roles
Expertise in one of the languages (Python, Spark, PySpark, SQL) for building scalable and high-performance applications
Experience with Microsoft Azure for cloud-based infrastructure and application management
Experience using Databricks for building robust data pipelines
Experience using Azure DevOps, GitHub, or other version control systems
Familiarity with developing end-to-end production solutions
Ability to tie loose ends together for solutions across systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with GCP and AWS cloud platforms
Experience with Apache Kafka and Apache Beam for building data pipelines
Experience with machine learning and data science tools and frameworks

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