Dawn InfoTek Inc. is a professional IT consulting team that partners with major financial institutions, investment firms and government sectors. We have been dedicated to delivering cutting-edge consulting services and recruiting all levels of IT positions for our clients.

We are currently seeking competent individuals to fulfill the role of Senior Data Analyst to join our dynamic team for our client, one of the major banks.

Location Address: Hybrid - 2 days/week – possibility that it increases to 4/week during the contract Contract Duration: ASAP – Oct 31 Possibility of extension: Yes, Based on performance and Business needs

Typical Day in Role: • Provide actionable insights and recommendations on marketing initiatives to business line and marketing partners. • Analyze and synthesize large datasets to identify trends and opportunities, applying a customer-first approach to drive engagement. • Define and size target audience opportunities in collaboration with business and marketing teams. • Deliver Pre-Sizing, Segmentation, and Response Forecasting to inform campaign design and improve efficiency. • Optimize customer and channel allocation based on behavior, preferences, and historical performance. • Collaborate with stakeholders to define KPIs and benchmarks, and create reporting to track campaign performance. • Conduct Pre- and Post-Campaign Deep Dives, analyzing beyond offer acceptance to assess utilization, stickiness, cost of acquisition, and revenue impact. • Present insights and recommendations to stakeholders, maintaining strong communication and alignment. • Work in agile squads alongside marketing, execution, and business lines to identify new opportunities for improved customer experiences. • Explore and profile data sources, analyze backend data critically, and derive meaningful insights. • Perform SQL coding and data manipulation as needed. • Support automation and dashboard development using Power BI and Excel. • Participate in modernization initiatives, including migration to GCP and Python-based analytics.

Candidate Requirements/Must Have Skills:

1. 8+ years of experience in Data Analysis with strong ability to create and present reports to cross-functional stakeholders
2. 8+ years’ experience working with large data sets and relational databases with advanced SQL skills
3. 5+ years’ experience with Power BI
4. 2+ years of recent experience with Python

Nice-To-Have Skills:

1. Familiarity with banking products
2. Experience with Google Cloud Platform
3. Experience with targeted leads/campaign execution and segmentation

Soft Skills Required: ● Strong Communication and collaboration skills ● Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior ● Analytical mindset

Education: Analytical background with a quantitative focus, such as statistics, applied mathematics, economics, computer science