Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data integrity, accuracy, and reliability. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft's suite of tools a
Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Reporting and analytics products including designing dashboards for diverse stakeholders (executives, analysts, operational teams), implementing
Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc. Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate bu
We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. You'll work on large-scale data challenges that require creativity, algorithmic thinking, and engineering excellence. Exposure to ranking, clustering, or statistic
The ideal candidate should have practical experience with distributed systems, Hadoop stack, and a solid understanding of REST services. Samsung is looking for a skilled Developer to join their data analytics team in San Jose, California. The position offers an exciting opportunity to work with emer
Core Functions Design and build reports, scorecards and dashboards Generate insights, trends and actionable recommendations, leading to implementation of initiatives and projects Ability to build relationships and work cross functionally within partners teams (including Sales, Media Insights, Mar
Strong understanding SQL, Python, and/or R skills for data extraction, manipulation, and analysis. The Portfolio Management (PM) Data Analytics team is the analytics engine behind Portfolio Management - owning the tools and reporting infrastructure that Netflix planners and strategists rely on to ma
This role involves supporting and evolving the company's enterprise analytics platform through data engineering, analytics delivery, and reporting, focusing on cloud data platforms like Snowflake and Power BI. Peterson Cat is seeking a Data & Analytics Engineer to work onsite in San Leandro, CA. The
Strong data analysis and modeling skills; ability to manage large data sets and extract actionable insights. Customs and Border Protection (CBP) and/or other North American customs agencies, strong analytical and data manipulation skills, and the ability to thrive in a fast-changing trade environmen
As a Partner or Principal at Kearney, you will be a key contributor to the growth and development of our Data and AI business within the Digital and Analytics (D&A) practice. Kearney Digital and Analytics, Data and AI-005WZ. Kearney prides itself on providing a culture where our employees belong and
Create and deliver a strategic partner development plan for target partners and customers, and ensure it's in line with the AWS Analytics and AI strategy and achieves partner goals. Amazon Web Services (AWS) is leading the next paradigm shift in computing and is looking for world class candidates to
Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys. Drive strategic initiatives including identifying issues, creating hypotheses, executing t
Deep understanding of analytical tools and dashboarding technologies, data warehousing, software, and applications (SQL, Tableau, AWS, Python, Machine Learning). Data Analytics Quantitatively analyze ambiguous problems using large datasets (prescription, medical claims, longitudinal patient data).