Dawn InfoTek Inc. is a professional IT consulting firm that partners with major financial institutions, investment firms, and government organizations. We are committed to delivering cutting-edge IT consulting services and providing highly qualified talent for a wide range of technology positions.
We are currently seeking a Data Analyst /Reporting Analyst to join our dynamic team and work with one of our major banking clients.
Contract Duration: 12 months
Role type: hybrid – onsite 3x/week minimum (Tuesdays, Wednesday and Thursday) (Could change to 4x/ week in office in future)
Possibility of Extension: Yes
Candidate Value Proposition:
The successful candidate will have the opportunity to grow withing a large-scale data environment. If the candidate performs well, there is a good chance of extension.
Role Responsibilities / Typical Day in Role:
• Ingest and transform data from multiple sources (e.g., BigQuery, SQL Server, CSV) using SQL and Python.
- Build and maintain Power BI reports, and dashboards for CIAM fraud metrics, trends, and patterns across channels and geographies.
- Track and report CIAM KPIs and produce weekly/monthly insights decks with trend analysis and operational recommendations.
- Support root-cause analysis and post-incident reporting with clear, concise data narratives.
- Execute ad hoc queries to answer business questions around control performance, user journeys, and fraud patterns.
Candidate Requirements/Must Have Skills:
1. 2–4 years of hands-on experience as a Data Analyst or Reporting Analyst
2. Proficiency in SQL for querying large datasets.
3. Practical experience with Power BI and building dashboards.
- Experience working in Agile teams and tools (Jira, Confluence).
- Exposure to Python, BigQuery or similar cloud data warehousing.
Nice-To-Have Skills:
• Experience in Fraud Analytics, CIAM, or Cybersecurity analytics.
- Prior global financial institution or large-scale data environment experience.
Soft Skills:
Detail-oriented with strong communication skills and analytical thinking.
Educational Requirements:
Bachelor’s degree in a STEM field such as computer science, engineering, technology, statistics, mathematics or a related field is required
