Sql developer állások III. kerületben (adminisztráció, asszisztens, irodai munka)

Analyzing digital journeys, engagement, conversion funnels, and product performance; translating findings into actionable recommendations for Product, UX, and business partners...

• AI a gyakorlatban: elemzési feladatok gyorsítása és hatékonyabbá tétele mesterséges intelligenciával
• Excel új szinten: nagyméretű táblázatok automatizálása, adatok elemzése, kimutatások készítése és új összefüggések feltárása

• Provide data-driven support to the Network Development team.
• Support strategic decision-making through data-driven insights and strengthen the company’s data-driven way of working.

• Aktuárius gyakornokként nem-élet aktuáriusi, riportálási feladatokban vehetsz részt
• Pénzügyi gyakornokként tapasztalatot szerezhetsz a klasszikus és biztosításspecifikus számvitel és adózás, továbbá a biztosító treasury területén

• Working on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems
• Developing high-quality data science products and solutions for clients as well as assets for internal data teams, focusing on modeling

• Folyamatos kapcsolattartás az üzleti terület, IT képviselőivel
• Rendszerszervezési tudást igénylő szakmai feladatok végrehajtása, dokumentálása
• Komplex szakértői közreműködés, dokumentációk és folyamatábrák készítésében

• Translating business requirements from internal teams and clients into clearly defined KPIs, metrics and visualizations
• Building and maintaining semantic and analytical data models on top of the data warehouse
• Writing and optimizing SQL queries, views and calculated measures for reporting use cases

• Assisting in integrating data from various sources (e.g. APIs, databases, files) into centralized data platforms
• Ensuring the quality and availability of data across data pipelines and storage systems
• Supporting the implementation of data models and data warehouse solutions

Designing, developing, and maintaining interactive Power BI dashboards and reports to support spend analysis, supplier performance, contract lifecycle management, and procurement KPIs...

• Establishing data feeds with custodian banks, data vendors, and other service providers
• Supporting senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automating and centralizing existing data integration processes

• Miben számítunk rád?
• Támogatod az adatvagyon gazdálkodási (Data Governance) és adatminőségi kezdeményezéseket
• Segítesz üzleti és technikai adatok összegyűjtésében, strukturálásában és elemzésében
• Közreműködsz adatleltárak, üzleti fogalomtárak és egyéb adatmenedzsment dokumentációk karbantartásában

• Leading data projects across the EMEA region, including initiatives leveraging Artificial Intelligence and automation
• Leading and delivering innovation and transformation projects, from scoping through to measurable business impact

• Leading and developing the three-person QC function, including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk

• Configuring the P&P platform end to end, across both frontend and backend
• Tuning and optimizing forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go where standard configuration isn’t enough

Developing a thorough understanding of the Sage Workplace Management operating model, contractual requirements and reporting objectives to ensure all Business Intelligence activities support successful contract delivery...

• Developing, testing, and maintaining data pipelines to extract, transform, and load (ETL) data from various sources (APIs, Databases, Files)
• Writing high-quality, maintainable Python code and participating in code reviews

• Analyzing consumer needs around menu, merchant and business performance to identify gaps and growth opportunities
• Using SQL, Snowflake, spreadsheets and dashboards to investigate performance and support data-driven decision-making

• Supporting the migration of ETL pipelines between source systems and Snowflake
• Using SQL to validate data, check data quality, reconcile datasets, and identify discrepancies
• Monitoring pipeline executions, investigating issues, and helping resolve technical blockers

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost, differentiating between a working query and an efficient one

• Leading a Snowflake migration project, supporting the migration of ETL pipelines between source systems and Snowflake
• Assigning tasks, tracking progress, and ensuring smooth day-to-day delivery