... , revenue leadership, and other revenue analysts Build and maintain data models in dbt and Looker ... a business intelligence or a data analyst role Strong working knowledge of SQL, Python, data modeling, and data visualization Hands-on experience with ...
... to be answered through data analysis - Collect data from various sources, identify and address data quality issues, and convert the data into a format suitable for ... to identify problems, gather relevant data, and develop creative solutions - Continuous ...
... trends and advancements in SAP data migration tools and technologies Our ... , with the ability to analyze data issues and provide effective solutions ...
... to maintain and extend our data platform (modern data stack) Closely cooperate with Data Analysts, Data Scientists, and Developers in your team on the productization of data solutions and building data culture within the company Be ...
... together. Were looking for a Data Analyst who will do the same ... your time: As a Data Analyst at edrone, you will be ... is key to identifying data-driven opportunities for improvement and innovation. Master Email Deliverability : Deepen your expertise ...
... in Looker About you:As Data Analyst, you will have 2+ years working experience in data analytics projects (e.g., data manipulation, reporting, dashboard development, EDA, ...
... Platform & Snowflake Financial experience getting data out in Experience with Affinity CRM Data experience and BI Tool on ToughtSpot Bachelors or masters degree in Computer Science, Database ...
... existing solutions; Data quality checks implementation; Designing, managing ... the following data services and technologies in Azure (for example Databricks, Data Lake, Synapse, Azure SQL, Azure Data Factory, Azure Data Explorer); Good understanding of Azure ...
... and provide support for deployed data applications and analytical models. Our ... identify, develop and deliver innovative data solutions * Influencing skills ability. Must ...
... experience in designing and managing data pipelines with knowledge about data modeling, ETL processes, and big data technologies (e.g., Spark) to ... describe business use cases outcomes, data sources and management concepts, and ...