Dragnet Solutions is a dynamic Information Technology company that specializes in the design, development and implementation of innovative people screening solutions. Since our incorporation in 2007, we have been at the forefront of creating and recreating objective recruitment and application management processes to meet international standards. As official...
Read more about this company
The Data Analyst will be responsible for formulating management techniques for quality data collection, analysis, and dissemination of analyzed information within the business.
To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.
Responsibilities
Establish and monitor operations performance management metrics, policies, and processes
Creating and designing data visualizations, dashboards, and 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
Analyzing and interpreting performance data and reports to identify trends and generate appropriate courses of action
Managing and designing the reporting environment, including data sources, security, and metadata.
Processing confidential data and information according to guidelines.
Share data insight with business users and management to prioritize business and information needs
Perform a meaningful role in long-term planning and establishment of initiatives aimed at operational excellence.
Locate and define new process improvement opportunities.
Requirements
Bachelor's degree in a numerate field such as Mathematics, Economics, Computer Science, Information Management or Statistics, etc. with at least 2 years work experience as a Data Analyst.
High-level written and verbal communication skills
Proven ability to think critically, strategically & act tactically
An analytical mind and inclination for problem-solving
Attention to detail.
High standards of accuracy & precision with excellent organizational skills
Strong commercial awareness & business acumen
Accountability and relationship management
Adept at queries, report writing and presenting findings
Technical Knowledge:
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
Considerable knowledge of software packages including programming (Python, Business Objects, XML, Javascript, or ETL frameworks, etc), databases (SQL etc), and visualization (Microsoft Power BI, Tableau)
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Proven experience in the analysis and modeling of large datasets, and cloud-based database development
Ability to translate business requirements into non-technical, lay terms.
Gmail
Yahoomail