Website KAIZEN Asset Management Services

KAIZEN Asset Management Services

KAIZEN Asset Management Services is seeking a highly analytical and detail-oriented Data Analyst (MIS) to join our growing team on a full-time remote basis. This role is critical in enabling data-driven decision-making across the organization by delivering accurate reporting, insightful analysis, and automated dashboards aligned with enterprise MIS standards.

As a Data Analyst (MIS), you will play a key role in transforming raw data into meaningful insights for senior management and business stakeholders. You will support the Company’s transition from manual, spreadsheet-based reporting to automated dashboards and AI-enabled analytics, while continuing to deliver high-quality enterprise reports across departments.

🎯 Role Purpose

The Data Analyst (MIS) will support enterprise-wide reporting, KPI management, and dashboard development. The role focuses on analyzing business data, ensuring data accuracy and integrity, and delivering clear, actionable insights that support strategic and operational decision-making.

You will work closely with the MIS function, business managers, executives, and system owners to ensure reporting consistency, reliability, and continuous improvement in reporting processes.

📌 Key Responsibilities

1. Dashboard Development & BI Delivery

  • Design, build, and maintain MIS, executive, and departmental dashboards (financial, operational, CX, OA, PM).

  • Translate business KPIs into clear, visual, and actionable dashboards.

  • Ensure dashboards are automated, refreshed on time, and aligned with MIS standards.

  • Maintain consistency in dashboard structure, visuals, definitions, and metrics across the organization.

  • Work confidently with BI and reporting tools (e.g., Yellowfin or similar platforms).

2. Data Analysis & KPI Management

  • Analyze large datasets from multiple systems and data sources.

  • Validate KPI definitions, formulas, thresholds, and reporting logic in line with the MIS Data Dictionary.

  • Perform trend analysis, variance analysis, and data reconciliation.

  • Identify performance gaps, anomalies, and red flags, and communicate insights clearly to management.

  • Prepare regular and ad-hoc analytical reports to support business decisions.

3. Enterprise Reporting & Business Support

  • Manage enterprise-wide reporting processes, ensuring accurate capture, storage, and maintenance of critical business data.

  • Prepare timely, decision-ready reports for management and executives.

  • Communicate findings clearly through written reports and verbal presentations.

  • Collaborate with departments to gather reporting requirements and define reporting specifications.

  • Support managers and executives with analysis aligned to departmental and organizational objectives.

4. Systems, Tools & AI Enablement

  • Support the transition from manual reports to automated dashboards.

  • Collaborate with the AI Tools Specialist to leverage AI-powered reporting, automation, and anomaly detection.

  • Understand system integrations, data flows, and basic API concepts (no coding required).

  • Quickly learn and adapt to new systems, tools, and reporting platforms.

5. Data Quality & Integrity

  • Perform regular validation checks and reconciliations across systems.

  • Review reports to identify and resolve discrepancies and data quality issues.

  • Maintain databases and perform updates to ensure ongoing data accuracy.

  • Support data integrity initiatives and contribute to root-cause analysis of recurring issues.

  • Ensure secure handling of business-critical information with strong professional judgment.

6. Business Collaboration & Continuous Improvement

  • Work across business lines with managers and executives.

  • Identify opportunities to streamline reporting processes and reduce manual effort.

  • Contribute to continuous improvement initiatives within MIS and reporting processes.

  • Support the design and improvement of data recording and business analysis systems.

🎓 Requirements

  • Education: Bachelor’s degree in Business, Finance, Data Analytics, Information Systems, or a related field.

  • Experience: Minimum 3 years of experience as a Data Analyst, MIS Analyst, or in a similar role.

  • Proven experience in enterprise reporting, dashboard development, and data analysis.

  • English Proficiency:

    • Conversation: Good

    • Writing: Good

    • Comprehension: Good

  • Work Type: Full-time | Remote

🧠 Key Competencies & Skills

  • Excellent analytical, technical, and problem-solving skills

  • High attention to detail and data accuracy

  • Strong communication skills (verbal and written)

  • Advanced proficiency in Excel / Google Sheets

  • Hands-on experience with dashboards, BI tools, and reporting platforms

  • Strong understanding of KPIs, metrics, and reporting logic

  • Comfortable working with multiple systems and data integrations

  • Customer-service mindset and strong organizational skills

  • Exposure to AI-enabled reporting or automation is a strong advantage

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