Role & Responsibilities
- Analyse large datasets related to payment processing, card issuance, and customer transactions to identify trends, patterns, and insights.
- Use statistical techniques and data mining tools to interpret data and generate actionable insights.
- Develop and maintain dashboards and reports to visualize data and track key performance indicators (KPIs).
- Work closely with business units, product managers, and other teams to understand data requirements and business objectives.
- Provide analytical support to stakeholders by delivering data-driven recommendations and insights.
- Communicate findings and insights effectively through presentations, reports, and visualizations.
- Develop, maintain, and optimize data pipelines with a focus on using dbt for data transformations, ensuring clean, reliable, and accessible data for analysis.
- Ensure the accuracy, completeness, and consistency of data used for analysis.
- Work with data engineers to implement data validation and cleansing processes to maintain high data quality.
- Create and maintain scalable data models in Snowflake using dbt, following best practices in chosen modelling technique.
- Identify opportunities for process improvements and optimization within payment processing and card issuance operations.
- Analyse operational workflows to recommend efficiency improvements.
- Monitor system performance and data trends to proactively address potential issues.
- Potentially contribute in ETL processes using dbt and orchestration tools (e.g., Apache Airflow), optimizing data workflows and performance.
- Ensure data analysis practices comply with industry standards, regulatory requirements, and security protocols.
- Assist in preparing data and reports for regulatory audits and compliance reviews.
- Proactively identify opportunities for process improvements and implement innovative solutions.
Preferred Candidate Profile
Proven experience as a Data Analyst / Analytics Engineer roleProficiency in building and managing data transformations with dbt, with experience in optimizing complex transformations and documentation.Hands-on experience with Snowflake as a primary data warehouse, including knowledge of performance optimization, data modeling, and query tuning.Strong proficiency in data analysis tools and languages (e.g., SQL, Python).Strong understanding of data modeling principles and experience applying modeling techniques.Proficiencywith data visualization tools such as Tableau, Power BI, or similar.Knowledge of payment processing system, card issuance, and related services.Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).Familiarity with modern data architecture such as data Lakehouse.Strong analytical, problem-solving, and communication skills.Attention to detail and a commitment to data quality and integrity.Familiarity with regulatory requirements and security standards in the financial industry.Skills : data analysis,modeling,transformations
Skills Required
Apache Airflow, Power Bi, snowflake , dbt, Tableau, Azure, Python, Sql, Google Cloud, Aws