MIS Staff — Management Intelligence & Decision Support

Company Description

Mirae Asset Sekuritas Indonesia, part of a prominent global financial group, is dedicated to delivering exceptional value and fostering a vibrant society through strategic investments. Known for its innovative financial solutions, the company prioritizes client success and sustainable growth. Mirae Asset Sekuritas Indonesia offers a dynamic and collaborative environment, where continuous learning and professional development are highly encouraged. The organization is committed to excellence and delivering on its promise of empowering clients through impactful investment opportunities.

The Management Information System Staff—Management Intelligence & Decision Support supports the preparation of accurate, structured, and decision-ready business information for the Board of Directors and high-level management.

This role works closely with the data team to transform company data into management reports, executive summaries, dashboards, performance insights, and business narratives that support performance reviews and strategic decision-making.

The role acts as a bridge between management information needs and the company’s data capabilities.

Key Responsibilities

• Management Information Support: Prepare reports, analyses, executive summaries, and business insights for the Board of Directors and senior management.
• Collaboration with Data Team: Work closely with the Data Team to ensure data outputs, metrics, and dashboards are accurate, consistent, and aligned with management needs.
• Business Performance Analysis: Support analysis across investment products, customer behavior, onboarding processes, sales and branch productivity, and other relevant business activities.
• Executive Reporting & Dashboard Support: Prepare management reports, dashboards, board-level materials, and performance monitoring outputs.
• Business Requirement Translation: Translate management questions and reporting needs into clear data requirements for the Data Team.
• Insight & Narrative Development: Turn data outputs into clear business narratives — key findings, risks, opportunities, and recommended actions.

Experience & Qualifications

• Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Information Systems, Finance, Economics, Business, or Engineering).
• At least 5 years of experience in business intelligence, data analysis, MIS reporting, or business/data analyst roles.
• Demonstrated experience producing reports or dashboards for management or executive-level stakeholders.
• Exposure to the financial services, capital markets, brokerage, or fintech industry is a strong advantage.
• Proven track record of working cross-functionally between business users and technical/data teams.

Required Technical Capabilities

• SQL & Data Querying: Able to use SQL for filtering, aggregation, joins, and basic validation.
• Dashboard & Reporting Tools: Experience or exposure to tools such as Looker Studio, Metabase, Superset, or similar platforms.
• Data Flow Process: Basic understanding of how data flows from source systems to dashboards.
• Data Validation: Able to check data accuracy, identify anomalies, and ensure consistency between reports, dashboards, and source data.
• API & Data Integration: Basic understanding of APIs and system-to-system data exchange for reporting or analysis needs.

Soft Skills & Competencies

• Strong business sense — able to connect data to the questions leadership actually cares about.
• Clear written and verbal communication; able to present findings to non-technical, senior audiences.
• Detail-oriented with a strong instinct for data quality and consistency.
• Comfortable managing multiple reporting cycles and ad-hoc requests under deadline.
• Proactive and curious—asks "So what?" of every number.

Preferred / Plus Value

• Python or R: For data processing, analysis, automation, or light scripting.
• Vibe Coding: Experience using ChatGPT, Claude, Lovable, or similar tools to build rapid prototypes.
• LLM & MCP Awareness: Basic understanding of LLMs, prompt design, structured output, MCP, or AI-to-data integration.