Вакансии: Business Intelligence

Lead commercial planning, forecasting, and data analysis to drive sales performance and strategic decisions. Build dashboards, manage CRM and BI tools, and drive automation across a global organization.

Join a global digital intelligence leader as a Data Analyst. Responsible for building custom reports, turning big data into actionable insights for top-tier clients using SQL, PySpark, and Python, while collaborating with engineering and advisory teams.

Data Analyst with strong finance background needed to analyze complex financial datasets using SQL, investigate data quality, build BI dashboards, and collaborate with cross-functional teams. Experience with Python, BI tools, and data validation required.

Join our CDO unit's BI for Business Lines team to analyze business requirements, design data solutions, and lead end-to-end BI projects. Collaborate with analysts, developers, and architects to deliver dashboards and reports.

Lead the analysis and specification of business information needs, translating requirements into actionable data and BI solutions. Drive data integration, mapping, and modernization initiatives, working closely with business stakeholders and development teams. Contribute to methodology and standards in a large-scale, data-rich environment.

Data Analyst role in a sports analytics company. Responsibilities include analyzing data, generating insights, developing logic flows, supporting researchers, and enriching datasets. Requires 2+ years experience, strong SQL, Python/R, and statistics. Advantage: FinTech/Algorithmic Trading interest, passion for soccer.

Lead BI front-end development team, driving transition to modern BI solutions. Responsible for technical specifications, data modeling, cloud/on-prem integrations, and analytics. Collaborate with business, developers, and end-users to deliver data-driven decision-making tools for thousands of users.

Analyze sales performance, build reports, and generate insights for the sales division. Monitor key metrics, manage budget control, and support commercial analysis for retail clients. Collaborate with sales management, marketing, and finance to drive data-driven decisions. Requires 3-5 years of analytical experience in FMCG, advanced Excel, Power BI, SQL, and strong communication skills.

Join our team to design and maintain ETL processes using SSIS, Azure Data Factory, and Databricks. Develop Power BI dashboards, data models, and automation solutions with Power Platform. Collaborate with stakeholders to translate business needs into impactful BI solutions, supporting data-driven decision-making across the organization.

Responsible for identifying business needs and delivering end-to-end data solutions. Develops Power BI dashboards, analyzes data using SQL and Python, and manages ETL/ELT processes. Integrates AI to support decision-making and collaborates with business and technical stakeholders.