Продакт аналитик

Team.Inno – one of the most experienced Belarusian companies providing full-circle software development, implementations and supporting, business analysis, design, testing and project management services.

Over 18+ years, we’ve implemented over 1600 projects in different industries for our clients in the USA, Canada, UK, Germany, France, Italy, Japan, and other countries. Our team specializes in 40+ business domains, including Artificial Intelligence, Machine Learning, Augmented & Virtual Reality.

Today, Team.Inno brings together over 3500 employees across its offices in Belarus, Poland, Georgia, Germany and Lithuania. We are constantly looking for both experienced professionals and entry-level specialists, and starting in 2025, we also offer free online courses for everyone who wants to begin a career in IT.

Here you can work on projects of different scales, explore various domains, and choose your own career path. Join us!

Requirements:

• Strong hands-on experience with Power BI Desktop and Power BI Service;
• Strong knowledge of DAX, including measures, calculated columns, and KPI logic;
• Experience building and maintaining Power BI semantic models;
• Strong SQL skills for data analysis, validation, reconciliation, and troubleshooting;
• Strong understanding of dimensional data modeling, relationships, facts, dimensions, and hierarchies;
• Experience working with complex hierarchical data structures;
• Prior experience working within Azure infrastructure and Azure-based data/analytics environments;
• Experience analyzing and extending existing Power BI reports, semantic models, and calculations;
• Experience with data quality, reconciliation, lineage, and data freshness;
• Experience implementing Row-Level Security (RLS) and deploying Power BI solutions across environments;
• Ability to optimize Power BI reports and troubleshoot performance, DAX, filtering, and refresh issues.

Nice to Have:

• Hands-on experience with Microsoft Fabric, including Lakehouse/Warehouse, semantic models, SQL Analytics Endpoint, or Direct Lake;
• Experience with VCAD for Power BI, VCAD Connector, VCAD API, or VCAD Power BI extensions;
• Experience integrating interactive 2D/3D CAD or BIM floor plans into Power BI;
• Experience with ETL/ELT processes and data pipelines;
• Experience designing dashboard and report mockups in Figma;
• Strong understanding of Power BI UI/UX and dashboard design principles;
• Hands-on experience with Python and common data analytics libraries such as Pandas, NumPy, and Matplotlib;
• Experience with other BI and analytics tools such as Tableau, Qlik Sense, Looker, or similar platforms;
• Familiarity with other cloud platforms such as AWS or GCP, including their data and analytics services;
• Practical experience using AI-assisted development and analytics tools in a responsible and effective way;
• Experience in Digital Twin, real estate, facility management, data centers, occupancy, or capacity planning;
• Understanding of data governance, canonical identifiers, source mappings, and reusable semantic models;
• Conversational English at B2 level

Main responsibilities:

• Design, develop, and maintain interactive Power BI dashboards and reports;

• Build and maintain reusable Power BI semantic models;

• Develop DAX measures, calculated columns, relationships, and hierarchies;

• Analyze and reuse existing Power BI reports, semantic models, and calculations;

• Develop reporting for space, occupancy, customer, contract, and capacity data;

• Integrate and visualize complex hierarchical and location-based data;

• Support VCAD/BIM floor-plan visualization in Power BI;

• Validate and reconcile data across reporting and source systems;

• Implement data-quality, lineage, and freshness indicators;

• Configure RLS and support deployment across environments;

• Optimize report performance and troubleshoot reporting issues;

• Collaborate with Data Engineers, Business Analysts, Solution Architects, and stakeholders.

We offer:

Learning and Development:

• A wide range of diverse projects in industries such as FinTech, Medicine, Entertainment, eCommerce, Gaming, Artificial Intelligence, and more;
• A broad technology stack with the opportunity to switch between technologies;
• Individual growth plans and regular reviews of conditions (project roles, salary level);
• Preparation for interviews with international clients in English.

Work Environment:

• On-site work format;
• Spacious and comfortable workstations;
• Detailed onboarding: introduction to the team, processes, and policies, office tour, welcome card;
• Cozy kitchens, game rooms, coworking spaces, and lounge areas.

Additional Perks:

• Voluntary health insurance;
• Discounts from partner companies (from pizzerias and bookstores to electronics stores).

If you’re looking for real opportunities to grow professionally and take control of your career — we’ll be happy to welcome you to our friendly team!

The creation of the workplace is planned for the longer term.

Что предстоит делать:

• Парсинг данных с использованием Python (requests, selenium), обработка данных в pandas, numpy, re;
• Работа с ClickHouse (написание запросов, оптимизация, создание витрин);
• Автоматизация процессов и задач и использованием Apache Airflow;
• Разработка отчётности и дашбордов в Qlik Sense;
• Взаимодействие с заказчиками, сбор требований, описание задач.

Что мы ожидаем:

• Qlik Sense: уверенная разработка дашбордов, работа с моделями данных;
• Python (requests, selenium, pandas, numpy, re) : уверенное владение, опыт парсинга и подготовки данных;
• SQL / Clickhouse: базовые запросы, понимание структуры данных;
• Airflow: опыт в создании DAG;
• работа с API OZON / Wildberries / YM будет преимуществом.

Что мы предлагаем:

• Оформление в соответствии с ТК РФ с первого дня работы;

• Заработная плата полностью белая;

• График 5/2, гибридный формат работы;

• Работа в федеральной стабильной компании, более 25-х лет на рынке.

А также:

• Корпоративная мобильная связь;

• Скидки на ювелирную продукцию, специальные предложения от партнеров компании;

• Развитая система обучения сотрудников в собственном корпоративном университете. ​​​​​​​

Условия: