Business oriented data analyst offering professional expertise in providing solutions for data analysis, coding, and variable information controls.
Cooperates closely with IT experts, project engineers and subject matter experts in planning and developing analytical methods for data collection, data variables, storage, analysis, statistics and presentations.
Potential Areas of Expertise and Tools
SAP | CRM | Crystal Reports | SQL | MySQL | Oracle| Access | SAS
Core Competencies, Strengths and Qualifications
• Extensive expertise in computer and IT systems – Excellent in mathematics (numerical aptitude).
• Adherence to confidentiality principles.
• Understanding of SAS code
• Bachelor’s degree in Computer Science [business administration, statistics, mathematics, or any business-related field].
Professional Experience
• 5 year minimum in data analysis specifically
Key Functions and Contributions:
• Focal point for making sound decisions related to data collection, data analysis, data security, methodologies and designs.
• Built data input and designed data collection screens – Managed database design and maintenance, administration and security for the company.
• Conducted research to collect and assemble data for databases – Was responsible for design/development of relational databases for collecting data.
• Maintained the data integrity during extraction, manipulation, processing, analysis and storage.
• Discussed Data and Information requirements with project stakeholders.
• Data output – Made data chart presentations and coded variables from original data, conducted statistical analysis as and when required and provided summaries of analysis.
• Have trained data analysis beginners to improve overall efficiency of the project.
• Cooperated with external parties/vendors for the design and development of data analysis work that has been done.
• Decoding scripts and documenting all the relevant input fields, sources, business rules etc.
• Creating data lineage
• Profiling data
• Documented defined and extracted technical metadata
• Have modelled data (Entity relationship diagrams, class diagrams etc.)