THE ROLE  

The Data Analyst is responsible for ensuring the accuracy, integrity, and quality of data, and presenting timely information to improve decision-making.  The successful candidate will be working with stakeholders to actively source, integrate, prepare, model, explore and present data and make recommendations as needed. 

MAIN DUTIES AND RESPONSIBILITIES 

• Support data sourcing initiatives across the group, to extract and integrate data from multiple sources, improve digitizing efforts via custom or off-the-shelf software integrations 
• Identifying obsolete information, and assessing quality, and meaning of data for continuous cleansing initiatives 
• Support data mining projects to measure business performance while using predictive analytics and statistical programming languages to improve the performance of future campaigns and exploit opportunities for growth 
• Manage the use of analytical tools to create and monitor key performance indicators and outcome metrics; identify, analyze, and interpret patterns in large, complex data sets. 
• Develop database queries using programming language tools to extract, transform, and load data for analytics, insights, and business operational activities. 
• Maximize productivity, process efficiency, and quality through streamlined workflows, process standardization, documentation, audits, and investigations periodically. 
• Processing confidential data and information according to guidelines 
• Support business units in project management and tracking through SDLC and support quality assurance and user acceptance testing 
• Document data interfaces and data mappings, enforcing data dictionary consistency for data elements and metadata management. 
• Maintain up-to-date skills in data science, analytics, and data visualization platforms; seek out continuing education, certification, and training opportunities; stay current with market trends and continually improve strategies, tactics, and techniques; evaluate emerging technologies 

QUALIFICATIONS AND EXPERIENCE  

• Bachelor's Degree in Computer Science, Data Science, Statistics, Actuarial Science, or related discipline with experience with data analysis, modeling, design, development 
• Minimum of one (1) year of relevant work experience 
• Data Warehouse or Business Intelligence experience with data sourcing, integration, and quality projects 
• Sound knowledge of data architecture, standards, and data governance in relational and non-relational databases 

OTHER COMPETENCIES 

• Proficient in Microsoft Suite including Excel 
• Proficient in visualization tools such as Tableau, Cognos Analytics, or Power BI 
• Proficient in programming languages such as Python and R 
• Proficient in SQL and other database-accessing languages 
• Excellent leadership and time management skills 
• Excellent analytical and problem-solving skills 
• Maintain a high standard of integrity 
• Keen attention to detail and accuracy of data 
• Excellent communication skills