Data Analyst

Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design.

Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities 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 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 Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality Full-time Originally posted on Himalayas