Job Summary

Job Title: Analytics Engineer

We are looking to fill the role of an Analytics Engineer. The role holder will be responsible for developing, maintaining, and optimizing data pipelines, ensuring data quality, and supporting analytics initiatives. This role requires expertise in data modelling, data transformation, and data governance to generate insights that support business decision-making.

Job Details

RESPONSIBILITIES:

Data Modelling & Schema Design:

• Develop and implement data models that support analytics and reporting requirements, ensuring scalability, performance, and data accuracy.
• Work with stakeholders to translate business requirements into logical and physical data models, creating well-structured schemas that align with company standards.

Data Infrastructure Management:

• Optimize database structures (e.g., indexing, partitioning) to enhance query performance and improve data accessibility.
• Ensure data reliability, security, and scalability to support business needs and data-driven applications.

Analytics & Reporting Support:

• Develop and maintain dashboards, reports, and other visualizations to deliver insights that drive key business decisions.
• Collaborate with data analysts to translate business questions into metrics and key performance indicators (KPIs).
• Continuously improve reporting capabilities to support evolving business objectives.

Data Quality & Governance:

• Implement data governance and security measures to protect sensitive information.
• Maintain documentation for data sources, transformations, and definitions to facilitate consistent data usage.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field. Equivalent experience may be considered.
• 1 – 3+ years in data engineering, analytics engineering, data analyst, or a similar field.
• Proven experience with SQL databases (MySQL, MSSQL, BigQuery, and Amazon RDS) and NoSQL databases (e.g, MongoDB)
• Experience with data transformation tools such as dbt, AWS glue, Dataform, and scripting languages like Python.
• Proven experience with workflow orchestration tools like Apache Airflow, Prefect, Dagster, and data integration tools like Airbyte.
• Prior experience with cloud platform, particularly GCP and/or AWS

COMPETENCIES REQUIREMENTS:

Technical:

• Database Management & Modeling: Proficiency in data pipeline development, data warehousing, data modelling, and transformation using dbt and other related transformation tools.
• Cloud Infrastructure Management: Strong understanding of cloud data management in GCP and AWS.
• Strong knowledge of and experience with Visualization and business intelligence tools like PowerBI, Tableau, or  Looker studio.
• Database Management: Experience in SQL (BigQuery, Amazon RDS) and NoSQL databases (MongoDB, DynamoDB).
• Programming & Scripting: Proficiency in SQL and Python for data processing and automation.
• Experience working with financial data is a plus.

Tools:
SQL, dbt (Data Build Tool), Python, Airbyte, Apache Airflow, BigQuery, Amazon RDS, MongoDB, PowerBI/Tableau, Terraform

Behavioural:

• Analytical Skills: Ability to solve complex data problems and improve data pipeline efficiency.
• Collaboration: Skilled in working cross-functionally with data analysts, engineers, and business stakeholders.
• Attention to Detail: Accuracy in data transformations and adherence to data governance standards.
• Communication: Strong verbal and written communication skills to document processes and share insights.

What to Expect in the Hiring Process:

• A preliminary phone call with the recruiter
• Technical interview
• Assessment
• Interview with Senior members of the team
• Cultural and Behavioural Fit Interview with a member of the Executive team.

Benefits

At Credit Direct Finance Company Limited, we value our employees and strive to provide a comprehensive benefits package that recognizes their contributions and supports their well-being. As part of our commitment to a positive work environment, we offer the following benefits:

Competitive Salary: We offer a competitive salary structure that is commensurate with industry standards and recognizes the skills and experience of our employees.

Quarterly Performance Pay: We recognize and reward exceptional performance. Our quarterly performance pay program allows employees to earn additional compensation based on their individual and team achievements.

Transport Subsidy: We understand the importance of accessible transportation for our employees. To assist with commuting expenses, we provide a transport subsidy to help alleviate the financial burden associated with travel to and from work.

Staff Bus: We offer a convenient and reliable staff bus service for eligible employees, ensuring a comfortable and stress-free commute to the workplace.

Hybrid Work: We believe in providing flexibility and work-life balance. Our hybrid work policy allows eligible employees to work remotely for a certain number of days per week, promoting a healthy work-life integration.

13th Month Salary: As an additional financial benefit, we provide a 13th-month salary to our employees. This extra payment, usually received at the end of the year, serves as a bonus and acknowledges their dedication and commitment throughout the year.

Leave Allowance: We recognize the importance of taking time off for rest and relaxation. In addition to annual leave entitlement, we provide a leave allowance to eligible employees, offering financial support during their vacation time.

Profit Sharing: We believe in sharing our success with our employees. Through our profit-sharing program, eligible employees have the opportunity to receive a share of the company’s profits, providing an additional incentive for their dedication and hard work.

These benefits are designed to support our employees’ financial well-being, work-life balance, and professional growth. We continuously review and enhance our benefits package to ensure that it remains competitive and aligned with the needs and preferences of our valued employees.