... team, working on global assignments). Nice to have: ability to identify and amend errors in transactional data in SAP; AWS; experience in building relational databases, applying best practices for database design and development activities; experience with software such as: Active Directory, Microsoft SQL Server Management ...
Forma współpracy: kontrakt B2B Stawka (B2B PLN netto + VAT/h): 120-140 Tryb: zdalny Poszukujemy osoby o profilu Data Analyst, która posiada min. 4 lata komercyjnego doświadczenia. Wiodący stack technologiczny: PL/SQL, Abinitio, Oracle SQL Projekt polega na realizacji prac analityczno-deweloperskich związanych z modyfikacją ...
Wymagane, SQL, Python, PySpark Twój zakres obowiązków, audytowanie i tworzenie projektów procesów raportowania danych sprzedaży online dla Erste Bank Polska w oparciu o platformę Databricks,, optymalizacja obecnych kodów PySpark pod kątem jakości i funkcjonalności,, tworzenie i optymalizacja zaawansowanych procesów przetwarzania ...
... sense Ensure data quality and apply statistical thinking in real business contexts You're a perfect match for the role, if: You have 2–4 years of experience in data analytics or a similar role You’re confident with SQL and have worked with analytical datasets You use Python for data analysis You have hands-on experience with ...
... Support executive communication and reporting Your profile More than 5 years of hands-on experience in: Process mining or BI tools (e.g. Celonis, Power BI) SQL, data modeling, and data visualization skills ERP systems (SAP, Oracle) Moreover: Understanding of finance processes (P2P, C2C, R2R) Strong storytelling and data presentation ...
... credit monitoring. This is the right job for you if: -Have excellent and practical knowledge of SQL (we use Snowflake), -Have experience in analyzing credit data, including BIK/BIG data, -Have proven experience in credit risk management, -Have experience in creating data visualisations using tools like Tableau, -Are able ...
... testing) analysis c) Fraud / risk-control analysis d) Forecasting e) General reporting / dashboard maintenance - What do you use hands-on in your day-to-day work? a) SQL b) ETL pipelines c) Advanced Excel d) Dashboarding tools (Tableau, Looker, Metabase, etc.) e) None of these — others pull/process the data for me - Which best ...
... documentation to ensure completeness and consistency. - Supporting the analysis and coordination of custom software development projects when required. - Utilizing SQL and relational database knowledge to support system analysis activities. - Working with collaboration and ticketing tools such as Jira and Confluence. Must-haves: ...
We are seeking a detail-oriented and analytical Senior Compensation Analyst to join our People Science & Analytics team. You will analyze complex compensation data, generate actionable insights, develop analytical products, reports, and models, and enable data-driven decision-making within compensation processes and programs ...
We are seeking a detail-oriented and analytical Senior Compensation Analyst to join our People Science & Analytics team. You will analyze complex compensation data, generate actionable insights, develop analytical products, reports, and models, and enable data-driven decision-making within compensation processes and programs ...
... Continuously monitor outsourced service providers (e.g., brokers, e-money providers, support teams) to ensure compliance with SLAs and quality standards. - Perform data reconciliation and create SQL queries for reporting and analysis. - Tax reportings. - Feed into the technology team to help develop backend enhancements. - Prepare ...
... ongoing maintenance of the Adobe stack: Adobe Analytics, Adobe Target, Adobe Customer Attributes, Implementation and maintenance of Web SDK / Mobile SDK based data collection, including XDM schemas, data streams and identity management, Design, deployment and operation of server-side measurement, including Event Forwarding ...
... (BI/DWH): Bardzo dobra, praktyczna znajomość technologii hurtowni danych oraz narzędzi Business Intelligence (mile widziane doświadczenie z Google BigQuery) Znajomość SQL: Biegłość w pisaniu zapytań SQL na potrzeby wyciągania, transformacji i modelowania danych Data Governance & Jakość: Doświadczenie w dbaniu o spójność, czystość ...
... (BI/DWH): Bardzo dobra, praktyczna znajomość technologii hurtowni danych oraz narzędzi Business Intelligence (mile widziane doświadczenie z Google BigQuery) Znajomość SQL: Biegłość w pisaniu zapytań SQL na potrzeby wyciągania, transformacji i modelowania danych Data Governance & Jakość: Doświadczenie w dbaniu o spójność, czystość ...
... problem-solving skills - Competency with MS SQL and ability to read, write and understand scripts - Advanced excel and financial modelling skills - Experience in data analysis and dealing with unstructured data of various quality - Proficiency in accounting and reconciliation principles - Willingness to expand knowledge and ...
... (OKRs, KPIs, talent acquisition, and employee lifecycle flows). - Hands-on experience in ERP configuration or building directly within an Analytics Platform/Data Warehouse. - Professional certifications in Business Analysis or Data (IIBA ECBA/CCBA/CBAP, PMI-PBA, CAP, or Power BI Data Analyst Associate). Why you’ll love ...
... Mixpanel, Google Analytics, or similar Ability to structure ambiguous problems and define meaningful metrics Experience with experimentation (A/B testing) Python, SQL or similar data querying skills Experience in complex or enterprise environments What You'll love about working here Well-being culture: medical care with Medicover, ...
... underwriting management, and provide actionable insights to drive profitability and growth. - Design, maintain and test scalable and reusable APIs using R and SQL facilitating seamless interaction between tools and data services within property pricing. - Ensure efficiency of pricing and support automation of underwriting ...
Poland, Wrocław
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... Expected Capabilities & Expertise: – Data analyst instincts + software engineer’s hands. ~70% of the job is finding a cohort in BigQuery, working out why the data is wrong, and fixing it at scale. Strong SQL and genuine curiosity about data are non-negotiable. – JVM backend (Kotlin/Java, Spring Boot). Must be able to build ...