Qualifications

• Hands-on experience in data modeling, data engineering, and analysis tools like BI tools, Power BI, SQL, and Python (including pandas, numpy).
• Proficiency in developing reports and dashboards in Power BI or Tableau.
• Strong communication, organizational, and interpersonal skills with the ability to juggle multiple priorities.
• Ability to derive key insights and present findings effectively to a non-technical audience.
• Familiarity with mapping techniques to calculate distances and routes; expertise in creating custom maps.
• Current knowledge of trends in data analytics.
• Experience and knowledge in banking systems and the banking industry.
• Advanced ability in data visualization to communicate insights effectively.

Responsibilities

• Interpret business needs and perform analysis independently, building necessary reports and dashboards.
• Translate findings and technical subjects into insights for non-technical audiences and management.
• Identify new data capabilities and collaborate with the data enablement team for solution development.
• Manage interactions with business partners, addressing data requests with autonomy.
• Conduct complex data queries, reconcile information, analyze outcomes, and draw conclusions for senior leaders.
• Promote a strong data-driven culture by mentoring analysts and enhancing data capabilities across functions.

Benefits

• Opportunities for professional development and continued education.
• Access to state-of-the-art data analytics tools.
• Collaborative work environment with diverse teams and business functions.
• Potential to influence strategic decisions through data-driven insights.
• Mentorship opportunities that aid in career advancement.