... -service analytics tools. Advocate for data modeling depth, rigor, and consistency across the data and business teams, and coach data scientists and engineers on the principles of effective data modeling. What Are We Looking ...
... modeling. This will involve using data wrangling techniques, data cleaning tools, and data quality checks - Apply statistical methods, data visualization techniques, and machine learning algorithms to uncover hidden patterns, ...
... . Our data stack We collect data from dozens of data sources, ranging from transactional data, availability data, payments data, customer event-level data, voice-of-customer data, third party data and much much ... learning other coding languages and tools ...
... diverse team of ground-breaking data scientists, data engineers, BI developers, UX designers ... culture of excellence and continuous learning within the team data visualization and reporting: Creating and ...
... efficiently discover and onboard new data sources to enrich the organizations assets. Data Mapping: Design and implement data mapping processes to ensure seamless ... Python, Scala, or SQL for data manipulation and transformation. Hands-on ...
... other equivalent methods Collaborate with data scientists and analysts to enable advanced analytics and data-driven insights through the implementation of appropriate data structures and algorithms. Stay up- ...
... , stakeholders, and senior management. Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies. We ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...
... and maintenance of various data sets, including but not limited to, contract data, focal point data, Salesforce data, CRM contracts, and operational data. The role demands a proactive ... : Flexibility to handle various data-related tasks and support all ...
... : Applies expertise in machine learning, data mining, and information retrieval to ... on structured and unstructured data (e.g. Machine Learning, Bayesian statistics, NLP, deep learning) Version control Data extraction and visualisation tools Relevant ...