Senior Data Analyst

SUMMARY:
Our client is looking for someone who is passionate about Data, open to learn and ready to contribute to a strong team environment. The successful candidate will turn data into information, information into insight and insight into business decisions.
The Data Analyst role includes conducting full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

POSITION INFO:
Responsibilities
- Interpret data, analyse results using statistical techniques and provide ongoing reports.
- Provide quality assurance of imported data, working with quality assurance analysts if necessary.
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Develop and implement database queries, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain data systems.
- Identify, analyse, and interpret trends or patterns in complex data sets.
- Filter and “clean” data by reviewing computer reports.
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.

Requirements:
- Proven working experience as a Data Analyst or Business Data Analyst.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques.
- Knowledge of statistics and experience using software for analysing datasets (Excel, Power BI etc).
- Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing and presenting findings.
- Ability to translate business requirements into non-technical, lay terms.
- Demonstrated experience in handling large data sets and relational databases.
- High-level written and verbal communication skills.
- The ability to understand the broader role of data within an organization and how it affects all users, clients and departments.