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.Β
Β ResponsibilitiesΒ
β’ Interpret data, analyze results using statistical techniques and provide ongoing reportsΒ
β’ Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and qualityΒ
β’ Acquire data from primary or secondary data sources and maintain databases/data systemsΒ
β’ Identify, analyze, and interpret trends or patterns in complex data setsΒ
β’ Filter and βcleanβ data by reviewing computer reports, printouts, and performance indicators to locate and correct codeΒ problemsΒ
β’ Work with management to prioritize business and information needsΒ
β’ Locate and define new process improvement opportunities Requirements And SkillsΒ
β’ Proven working experience as a Data Analyst or Business Data AnalystΒ
β’ Technical expertise regarding data models, database design development, data mining and segmentation techniquesΒ
β’ Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks)Β
β’ Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)Β
β’ Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyΒ
β’ Adept at queries, report writing and presenting findingsΒ
β’ BS in Mathematics, Economics, Computer Science, InformationΒ
Β
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