Data Analyst (Fintech Software)

• Data Analyst and play a pivotal role in transforming data into actionable insights for our clients.
• You will design robust data models, build impactful dashboards, and partner closely with stakeholders to deliver measurable business value.
• This is an opportunity to grow your analytical expertise in a culture that values customer focus, integrity, and engineering excellence.

Key Responsibilities

• Design and implement robust data integration models using SQL to support business reporting and analytics.
• Clean, transform, and prepare large or complex datasets using Python and advanced wrangling techniques.
• Conduct exploratory, cohort, funnel, and root cause analyses to uncover actionable business insights.
• Build, maintain, and optimize Power BI dashboards and Excel reports for internal and client stakeholders.
• Validate and ensure the quality, consistency, and reliability of data and analytical outputs.
• Leverage AI tools for prompt-driven analytics, code generation, and dashboarding, while critically verifying AI outputs.
• Partner with engineering to improve data pipelines and resolve schema or source inconsistencies.
• Translate analytical findings into clear, decision-ready business recommendations for technical and non-technical audiences.
• Lead solution clarification and client meetings, eliciting requirements and aligning deliverables with stakeholder goals.
• Demonstrate ownership, integrity, and transparency throughout the analytical project lifecycle.

Requirements Must have

• Minimum of 3 years' experience in data analysis or analytics roles
• Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
• Demonstrated proficiency in SQL and Python for data integration and analysis
• Hands-on experience with Power BI or similar data visualization tools
• Proven ability to build dashboards and communicate insights to business stakeholders
• Strong analytical thinking and problem-solving skills
• Excellent communication and stakeholder management abilities
• Demonstrated ownership and accountability in delivering analytical projects
• Good to have Experience with Adobe Analytics or CRM platforms is preferred
• Familiarity with SaaS data environments is a plus
• Background in customer analytics for SaaS products is advantageous

Bonus

• Certifications in data analytics or business intelligence are an added advantage Experience with data harmonization projects is a plus

Skills

• Must have: SQL, Python, Power BI, Tableau, Data Integration, Data Modeling, Data Wrangling, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Data Validation, Excel, Dashboarding, Customer Engagement Analytics, Business Reporting, A/B Testing, Effective AI Prompting, AI Output Verification, Responsible AI Use
• Good to have: Adobe Analytics, CRM Platforms, SaaS Platforms, Data Harmonization, Data Wrangling (advanced techniques)

Benefits

• Competitive compensation package Opportunities for professional growth and upskilling Exposure to cutting-edge technology and diverse data challenges
• Collaborative, customer-focused work environment
• Culture of ownership, transparency, and engineering excellence.