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Data Analyst - IT Risk

Staffinity Inc - 2 Jobs
Halifax, NS
Posted yesterday
Job Details:
Full-time
Entry Level

Staffinity is currently seeking a IT Risk Data Analyst for a client located in Halifax, NS. This is a full-time, permanent position with salary, benefits, RRSP matching and vacation. The base salary range is 130-140k. This is a day shift position, Monday to Friday and will work on a hybrid model of 2 days per week in the office and 3 from home.
Responsibilities:
  • Develop and maintain reports and dashboards using SQL, Python, Tableau, and Excel to analyze risk-related data.
  • Collaborate with IT risk management teams to understand their data analysis needs and deliver precise reports.
  • Interpret data and analyze results using statistical techniques to identify trends or patterns in complex data sets.
  • Work closely with management to prioritize business and information needs and provide data-driven recommendations.
  • Ensure data integrity and accuracy in all reporting and analytics activities.
  • Proficiency in SQL for complex querying and data manipulation.
  • Strong programming skills in Python for data analysis and automation tasks.
  • Advanced proficiency in Tableau for creating intuitive and actionable dashboards.
  • Expertise in Excel for data analysis, including the use of advanced formulas, pivot tables, and charting.
  • Business knowledge in IT Risk Management and Reporting to understand and interpret the data correctly.

Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 5+ years of experience in a data analysis role, preferably within IT risk management.
  • Demonstrated ability to communicate complex findings and ideas in plain language.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing, and presenting findings.
  • Experience with DBT (Data Build Tool).
  • Familiarity with Dagster for orchestrating data pipelines.
  • Knowledge of containerization technologies to support application deployment consistency.

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