Start Date
Immediate
Expiry Date
04 May, 25
Salary
0.0
Posted On
04 Feb, 25
Experience
4 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Etl, Working Experience, Data Warehouse, Javascript, Computer Science, Sql, Python, Analytical Skills, Spss, Mathematics, Data Mining, Segmentation, Statistical Packages, Datasets, Writing, Data Models, Information Management, Databases, Statistics, Economics, Excel
Industry
Information Technology/IT
SKILLS:
Lead Data analyst manage queries for MuleSoft and Data warehouse team in US.
Effective communication and responsive follow through are critical
REQUIREMENTS AND SKILLS:
Proven working experience as a Data Analyst or Business Data Analyst
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
BS in Mathematics, Economics, Computer Science, Information Management or Statistics
Job Type: Contract
Pay: $60.00 - $62.00 per hour
Expected hours: 40 per week
Schedule:
Experience:
Work Location: Remot
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities