... Computer Science, Information Systems, Data Analytics, or related field. Experience: Minimum 5 years in data analysis, reporting, or business intelligence roles. Proficiency in Tableau, Power BI, or Grafana. Strong knowledge of SQL, data modeling, and relational databases. Familiarity with ETL processes and data pipelines.
... US product and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... evaluation, and deployment. Explore and implement LLM and agentic AI applications to drive innovation in customer experience and workforce productivity. Partner with data engineering teams to build robust data pipelines and ensure model reliability in production. Mentor and guide junior data scientists/analysts, providing code ...
... development. As a Clinical Data Science Programmer at ICON, you will develop and implement programming solutions that enhance the analysis of clinical trial data. What You Will Do: You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities ...
... fund data and technology. We are proud of our vast, diverse, and highly skilled team, who help to make our industry Better Connected and Better Informed. As a Data Analyst you will play a key role in delivering accurate mutual fund data. You'll work with a global team, gain exposure to financial data processes, and grow ...
... Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics. Integrate data from various sources including APIs, flat files, relational databases, and cloud services. Ensure data quality, data governance, and compliance standard are met. ...
... Visualization : - Support and maintain Tableau and Power BI platforms that cater to business intelligence needs. - Utilize Alteryx for ETL processes and to streamline data preparation, ensuring data consistency. - Data Mining and Advanced Analytics : - Leverage Splunk for advanced log analysis and operational insights, optimizing ...
... the management of end-to-end data infrastructure—from design and construction to installation and ongoing maintenance of large-scale processing systems. Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data governance and regulatory requirements. ...
... more product deployments of big data technologies – Business Data Lake, NoSQL databases etc - Awareness and decision-making ability to choose among various big data, NoSQL, analytics tools and technologies - Should have experience in architecting and implementing domain centric big data solutions - At MakeMyTrip, we're committed ...
... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...
... potential can thrive. The Role Required Skills and Experience - •Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes - •Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc - •Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... delivery and stakeholder management.- Practical data-lake https://jobeax.com/link/hgZXWGbivT1rywct Stack & Qualifications:- Bachelors degree in computer science, Data Analytics, Engineering, or a related discipline.- Strong grasp of core data engineering principles, including data lake architectures, columnar storage formats, ...
... clients and each other. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Deploy data collectors in Adverity to gather data from media, agency system, and other sources ~ Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they ...
Key Responsibilities: Design and implement ELT processes for diverse data sources, including RDBMS, NoSQL databases, and data warehouses Develop and maintain scalable data pipelines for batch and stream processing using JVM-based languages and frameworks Collaborate with cross-functional teams to integrate diverse data ...
As a Data Centre Provisioning Engineer, you will be responsible for supporting the deployment, activation, and operational excellence of hyperscale data centre network infrastructure. You will collaborate with cross-functional teams and external partners to ensure seamless provisioning, troubleshooting, and optimization ...
As a lead data scientist in the EDO, Collection Platforms & AI - Cognitive Engineering team, you will own the technical direction of a large-scale entity resolution and linking This platform combines classical ML and GenAI techniques to power intelligent matching and linking services across multiple data domains, exposed ...
... skilled and experienced Senior Data Engineer to join our growing data team. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake, dbt, and Matillion Data Productivity Cloud, define architectural best practices, and drive data transformation at scale. You will work ...