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Job Description
- Designing of queries, compiling of data, and generation of reports in e.g., Excel.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Charting and graphing of data for reporting purposes.
- In depth research of defect trends.
- Generating reports from single or multiple systems.
- Present analysis in easily digestible standard reports.
- Supporting teams how to interpret data trends as needed.
- Develop amazon Quick Sight and SQL dashboards to automate analysis
- Analyzing data to find answers to specific questions.
- Generating information and insights from data sets and identifying trends and patterns.
- Creating visualizations of data.
- Using data to predict trends in the customer base and the consumer population as a whole
- Performing statistical analysis of data.
- Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs.
- Preparing reports and presenting these to management or clients.
- Identifying and recommending new ways to save money by streamlining business processes.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Evaluating changes and updates to source production systems.
Job Requirements
- 1-3 years of experience with proven working experience as a Data Analyst or Business Data Analyst.
- BS in Computer Science or equivalent
- Ability to translate business requirements into non-technical, lay terms.
- Knowledge of statistics and experience using statistical packages for analyzing data-sets.
- Adept at queries, report writing and presenting findings.
- Strong mathematical & numeracy skills.
- Intermediate understanding of databases such as SQL Server, Oracle and SAP.
- Understanding of reporting & data visualization tools such as Business Objects, Power Bi and Tableau.
- Understanding of website scripts such as XML, JavaScript, JSON.
- Understanding of ETL framework and ETL tools.
- Excellent analytical skills - the ability to identify trends, patterns and insights from data.
- Strong attention to detail.
- Presentation skills – ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand.
- Problem solving skills.
- Communicating with stakeholders to understand data content and business requirements.
