Data Analyst at Dragnet Nigeria

Job Description

• 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.