Data Analyst

We are looking for a highly analytical Data Analyst with strong expertise in SQL, campaign management/campaign analytics, and banking (loans, mortgages, and deposits). The ideal candidate will work closely with business, marketing, and analytics teams to generate insights, optimise campaigns, and support strategic decision-making using data.

Responsibilities:

• Analyse large datasets using SQL to generate actionable business insights.
• Design, execute, and evaluate marketing/customer campaigns.
• Measure campaign performance and recommend optimisation strategies.
• Develop dashboards, reports, and KPIs for business stakeholders.
• Perform customer segmentation, campaign targeting, and performance analysis.
• Work with cross-functional teams, including Business, Marketing, Product, and Data Engineering.
• Identify trends, opportunities, and risks using analytical techniques.
• Ensure data quality, accuracy, and governance across reporting.
• Support business decisions related to customer acquisition, retention, and cross-sell initiatives.
• Present analytical findings to senior stakeholders in a clear and concise manner.

Requirements:

• 5-8 years of experience as a data analyst or campaign analyst.
• Hands-on experience working with banking datasets.
• Experience in campaign performance analysis and customer segmentation.
• Strong understanding of banking products such as loans, mortgages, and deposits.
• Experience working with large datasets and translating business problems into analytical solutions.
• Mandatory Skills: SQL (Advanced), Campaign Management / Campaign Analytics, Banking Domain, Loans / Mortgages / Deposits, Data Analysis, and Stakeholder Management.

Technical Skills:

• Strong SQL (Advanced Queries, Joins, CTEs, Window Functions, Performance Optimisation).
• Experience in data analysis and reporting, campaign analytics / campaign management, and Excel (advanced).
• Experience with BI tools such as Power BI, Tableau, or Looker (preferred).
• Domain Expertise: Banking and Financial Services, Loans, Mortgages, and Deposits.

Preferred Qualifications:

• Bachelor's degree in engineering, computer science, statistics, mathematics, economics, or a related quantitative field.
• Experience with Python or R is an added advantage.
• Knowledge of statistical analysis and A/B testing is preferred.
• Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.

Key Competencies:

• Strong analytical and problem-solving skills.
• Excellent stakeholder management.
• Business acumen in retail banking.
• Effective communication and presentation skills.
• Ability to work in a fast-paced environment.
• Attention to detail and ownership mindset.

Skills

SQL, bank, banking, campaign, campaigns