Financial Data Analyst (Wealth Tech)

Canopy; Indonesia; On-site; IDR 111,600,000 - 200,880,000; Full time

Job summary

Canopy is seeking a Data Operations Analyst to manage data accuracy, integrity, and security for financial and investment data. You will provide reliable reporting to stakeholders and collaborate with cross-functional teams to improve data workflows.

The role requires strong Excel, with Python/SQL as a bonus, and attention to detail in a fast-paced environment. You will work on data reconciliation, tool development, and process improvements while ensuring regulatory compliance.

Qualifications

• Bachelor’s degree in Finance, Accounting, Information Systems or related field.
• Advanced Excel skills; Python and SQL are a plus.
• Strong analytical and problem-solving abilities.
• Familiarity with financial instruments across asset classes.

Responsibilities

• Ensure data extraction and aggregation accuracy for complex investment portfolio data.
• Identify and resolve inconsistencies and errors across balances.
• Reconcile trading history and end-of-day holdings data; address account discrepancies.
• Escalate aging exceptions and review reconciliation output timely.
• Collaborate with Sales, Client Success & Product teams to address data questions and improve processes.
• Provide training and support on data-related processes and systems.

Skills

Excel

Python

SQL

Data reconciliation

Attention to detail

Communication

Education

Bachelor's degree in Finance/Accounting/Information Systems

Tools

Tableau

Trifacta

Proprietary aggregation software

Job description

The Data Operations Analyst manages all aspects of data operations within the team, ensuring the accuracy, integrity, and security of financial and investment data. This role provides reliable reporting to stakeholders and requires strong technical skills, attention to detail, and collaborative abilities.

Data Management and Processing:

• Ensure the accuracy, completeness, and consistency of data extraction and aggregation of complex investment portfolio data using our proprietary aggregation software
• Identify, investigate and resolve aggregated data for inconsistencies and errors across all balances
• Dig deeply into trading history and end of day holdings data to perform reconciliation, identify account discrepancies, and find potential solutions
• Review recon output and ensure timely identification and escalation of aging exceptions

Product and Process development:

• Actively contribute to the enhancement of internal systems to drive efficiency, accuracy, and timeliness of data aggregation
• Help build tools and processes to improve and scale the data reconciliation competency
• Work with the product team on new features to understand cost and process impacts
• Ensure the security and privacy of sensitive data in compliance with regulatory requirements

Collaboration and Communication:

• Act as escalation point for queries from Sales, Client Success & Product team to resolve clients' data-related questions
• Liaise with custodian representatives to address gaps found in financial data sources
• Provide training and support to staff on data-related processes and systems

Requirements

• Bachelor's degree in Finance, Accounting, Information Systems, or a related field, Fresh Graduates are welcome to apply
• Advanced proficiency in Microsoft Excel is a must, proficiency in Python, SQL is a bonus
• Strong analytical skills and problem-solving skills
• Understanding of financial instruments across asset classes
• A willingness to work with large data sets, approaches it as if it's a fun puzzle to solve
• Meticulous attention to detail and ability to work under pressure
• Strong communication and interpersonal skills
• Ability to work independently and as part of a team
• Proactive in seeking workflow improvements
• Experience with Tableau, Trifacta, or other data wrangling tools is highly preferred