Cake Job Search

咖啡廳有咖啡師)、健身空間、國內外旅遊、家庭日、電影招待日、各類社團活動 - 可遠端(一周2-3天) JD: - Conduct data analysis to solve problems and support product owners making data driven decisions. - Develop data processing and interpretation on dashboard to provide business insights. - Find pattern, identify problems from data insights and make suggestion to product owners.

- Conduct data analysis to solve problems and support product owners making data driven decisions. - Develop data processing and interpretation on dashboard to provide business insights. - Find pattern, identify problems from data insights and make suggestion to product owners.

市場需求的變化。隨著業務快速朝向國際化擴展，在此誠摯邀請具有挑戰和創新精神的人才加入。 Job Description Conduct data analysis to solve problems and support product owners making data driven decisions. Develop data processing and interpretation on dashboard to provide business insights. Find pattern, identify problems from data insights and make suggestion t

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. 3 years of experience in developing and troubleshooting data processing algorithms. Experience coding with one or more programming languages (e.g.,Java, Python) and Bigdata technologies such as Scala, Spark and Hadoop frameworks. Preferred qualifications: Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist at NielsenIQ, you create and deliver client outputs in a correct and timely manner. Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories Does cro

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management or a related technical role. Preferred qualifications: 3 years of experience in product management, database systems, ETL, data lakes/warehouses, or Online Analytical Processing. Experience in life-cycle data rollouts , promoting product excellence and collaboration. Experience in leading cross-organizational efforts interacting with multiple director-level stakeholders. Expe

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Mumbai, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience. 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience coding in one or more languages: Java, C++,

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Computer Science, related field, or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. 2 years of experience in a customer-facing role (e.g., pre-sales engineer, consultant, professional services). Experience in data management Business Intelligence Application (e.g., Tableau, PowerBI), Data Processing (e.g., Informatica), or Analytics Pl

Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 15 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies. Experience with SQL data bases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL data bases (e.g., Mongo, Cassandra, DynamoDB, etc.). Experience with different types of data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transactio

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data