Data Analyst


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. 

  • 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 
  • 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 
  • 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 
Expires :  2023-01-31
Employment Type
Salary and benefits
Salary and benefits info not provided.
Salary negotiable
Your Career Level
Early Career
Years Experience
Minimum of One year
Your Education Level
Bachelor's Degree|in Computer Science
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