Qualifications

• 5-7 years of experience in data analysis and engineering tools including Power BI and SQL.
• Strong skills in data modeling and analysis, utilizing Python libraries like pandas and numpy.
• Excellent communication, organizational, and interpersonal abilities, with a focus on presenting to non-technical audiences.
• Proficient in developing reports and visualizing data to convey insights effectively.
• Preferred experience in geographic mapping and demographic analysis techniques.
• Up-to-date with the latest trends and advancements in data analytics.
• Experience in the banking sector and understanding of banking systems is beneficial.

Responsibilities

• Analyze business requirements and build reports/dashboards to address them.
• Communicate complex data insights to non-technical stakeholders and senior management.
• Collaborate with the data enablement team to develop new data solutions for strategic goals.
• Manage data requests and advise business partners on data needs.
• Execute advanced data queries, analyze results, and present conclusions to management.
• Mentor junior analysts and advocate for a data-driven culture within the organization.

Benefits

• Opportunity for professional growth and development in a data-driven environment.
• Work closely with business partners and diverse teams.
• Expand influence in shaping the data capabilities of the organization.
• Engage in a fast-paced setting that values analytical insight and business interaction.