Data Analyst

SUMMARY:
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POSITION INFO:

Primary responsibilities:

• Interpret data, analyse 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, analyse, 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 prioritise business and information needs
• Locate and define new process improvement opportunities
• Writing SQL queries to verify the completeness and integrity of data
• Executing other data activities such as data compilation, data conversion, data cleaning, and string manipulation
• Turn data into visual representations using Power BI or SSRS
• Develop customized reports from databases to extract and collect data according to client or management needs
• Interpret data and analyse results using statistical techniques
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimise statistical efficiency and quality
• Generate metrics and develop actionable recommendations
• Present data in a way that is most meaningful and readily accessible to the business
• Collaborate with end-users to gather report requirements and ensure proper testing and validation
• Provide support to end-users on standardized and ad hoc reports
• Locate and define new process improvement opportunities
• Design and develop complex analytical reports, including trend and dashboard reports, to be provided on an ongoing basis

Requirements:

• BS in Mathematics, Economics, Computer Science, Information Management or Statistics
• A minimum of 3 years 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, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc)
• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy

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