data analyst in data transformation

HireHi; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

EPAM ищет специалиста по аналитике данных с опытом реализации проектов BI и миграции данных. Ваша задача — разрабатывать дашборды и отчеты, заниматься профилированием данных и поддержкой проектов на протяжении цикла разработки.

Вам потребуется опыт работы с Power BI/Tableau, знание SQL и умение взаимодействовать с клиентами. Кандидат должен владеть английским языком на уровне B2 и выше, иметь опыт работы в многопроектной среде и способность работать независимо с минимальным контролем.

Qualifications

• Опыт работы над проектами данных: миграция, трансформация, BI и AI.
• Сбор, документирование и приоритизация требований к аналитике.
• Опыт внедрения end-to-end data delivery в Agile и Waterfall.
• Умение работать с большими наборами данных и SQL-проекты по профайлингу.
• Знания DWH, моделирования данных и качества данных.

Responsibilities

• Разрабатывать дашборды, интерактивные графики и отчеты по лучшим практикам визуализации.
• Участвовать в миграции и модернизации данных, включая ETL-процессы.
• Проводить встречи с клиентами и стейкхолдерами для определения бизнес-требований.
• Переводить требования в практические инсайты и сопровождать проект на всех этапах.
• Выполнять профилирование данных и подготовку моделей и потоков данных.

Skills

SQL

Data Modeling

Data Governance

Data Visualization

English Proficiency

Tools

Power BI

Tableau

ETL Tools

Job description

Описание:

EPAM steers data-driven digital transformation across international projects in oil and gas, finance, retail and distribution, e-commerce, life sciences, healthcare, and other industries.

Задачи:

• Design, develop, and maintain dashboards, interactive charts, and reports following visualization best practices;
• Collaborate with the development team on end-to-end data migration and modernization projects, including ETL processes, data extraction, transformation, and loading;
• Lead meetings and workshops with clients and stakeholders to define and prioritize business needs;
• Translate requirements into actionable insights and collaborate with the delivery team throughout the project lifecycle;
• Perform data discovery, data assessment, and data profiling using SQL queries;
• Prepare source-to-target mappings, data models, data flows, and related requirements documentation;
• Define and organize backlogs with epics, features, and stories;
• Participate in and drive Agile ceremonies, including Sprint Reviews, Daily Stand-Ups, Planning, Refinements, and Retrospectives;
• Conduct User Acceptance Testing with customer stakeholders;
• Prepare post-development and post-production materials;
• Monitor and ensure the quality and reliability of deliverables independently and with the development team and customer stakeholders.

Требования:

• 5+ Years of experience in data-related projects such as data migration, data transformation, data governance, BI, and AI;
• 3+ Years of experience handling BI, DWH, data, and analytical project requirements, including gathering, documenting, presenting, estimating, and prioritizing;
• Proficiency in end-to-end data and analytics project delivery using Agile and Waterfall methodologies;
• Experience working with large datasets and performing data profiling using SQL queries;
• Strong understanding of DWH fundamentals, data modeling, and data quality;
• Proficiency in preparing source-to-target mappings for data ingestion, curation, and related processes;
• Experience with BI tools such as Power BI and Tableau for data transformation, modeling, and visualization;
• Excellent written and verbal communication skills in the customer's communication language;
• Ability to produce high-quality documentation and reports;
• Self-motivated, able to work with minimal supervision and lead client interactions;
• English proficiency at B2 level or higher;
• Nice to have: Experience with data on cloud platforms like Azure, AWS, and GCP, ability to create prototypes and mock-ups, familiarity with the Data Governance framework, experience collaborating with data scientists and defining requirements for AI-focused features, familiarity with AI tools for BI analysis, information elicitation, documentation, agile workflows, and data analysis, industry knowledge in oil and gas, finance, insurance, supply chain, or marketing, ability to act as a Data Product Owner in analytical projects.

Условия:

No conditions specified