Data Analyst at Unified Payment Services Limited

Job Objective(s)

• The Data Analyst will be responsible for collecting, processing, and analyzing data to support strategic decision-making across the organization.
• This role involves creating meaningful reports, dashboards, and visualizations that provide actionable insights to various departments.
• The analyst will work closely with key stakeholders to understand business needs, identify trends, and present data-driven solutions that enhance operational efficiency, customer engagement, and business performance within a fast-paced fintech environment.

Duties & Responsibilities

• Collect, clean, and analyze large datasets to identify trends, patterns, and actionable insights.
• Build, automate, and maintain dashboards and reports for business units to track KPIs and business performance.
• Translate complex data findings into clear and concise narratives for non-technical stakeholders.
• Work collaboratively with departments such as Product, Marketing, Risk, and Finance to understand data needs and deliver customized insights.
• Conduct deep-dive analyses to support product development, customer behavior understanding, and operational improvements.
• Assist in the design and implementation of data models to support forecasting, segmentation, and predictive analytics.
• Ensure data accuracy and consistency across systems and support data governance efforts.
• Monitor data quality and help resolve discrepancies in data reporting.
• Stay current with industry trends, tools, and best practices in analytics, especially within fintech.
• Support A/B testing, market segmentation, and campaign performance analysis.

Requirement
Education:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or related field.
• A Master’s degree in Business Analytics, Data Science, or related discipline is an advantage.

General Experience:

• Understanding of fintech business models and digital financial products is an added advantage.

Technical Skills:

• Proficiency in SQL for data querying and extraction.
• Experience with data visualization tools (e.g., Power BI, Tableau, Looker).
• Strong skills in Excel, and at least one programming language such as Python or R.
• Understanding of relational databases, data structures, and ETL processes.
• Knowledge of statistical analysis and data mining techniques.
• Familiarity with A/B testing, cohort analysis, and time-series forecasting.

Certifications:

• Certifications such as Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate, or equivalent are beneficial.

Experience:

• Minimum of 4 years experience in data analysis, business intelligence, or related roles, preferably in a fintech or technology-driven environment.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to explain data insights to non-technical stakeholders.
• Attention to detail and commitment to data accuracy.
• Ability to manage multiple tasks and deliver within tight deadlines.
• Collaborative mindset and ability to work in cross-functional teams.