Finance Data Analyst

Vacancy No

VN16134

Employment Type

Fixed Term

Location Country

India

Work Location

Mumbai

Who are V?

As a global leader in ship management and marine services, we add value to a vessel’s operations. Operating around the clock and around the world, V. gives every client the quality and efficiency they need in every sector. Covering crew management and recruitment, quality ship management and technical services, together with supporting management and commercial services, V. has an unrivalled industry knowledge with performance assured. Our values, We Care, We Collaborate, We Challenge, We are Consistent, We Commit and Deliver, are at the heart of everything we do and they support our strategy of Investing in Talent. We are always interested in making contact with talented individuals - people who will demonstrate our values and deliver great service, for internal and external stakeholders.

Overall Purpose of The Job

This role will sit within our newly forming Finance Data & Analytics function, with the long-term ambition of building a self-sufficient team capable of owning and delivering end-to-end finance data solutions. A key part of this role will be to influence and guide data development through collaboration and well-defined specifications, working within a governance framework designed to evolve over time.

Over time, as the Finance Data & Analytics team grows and governance structures mature, we expect the Data Analysts to assume greater ownership of the end-to-end data model and reporting lifecycle within the Finance domain.

Key Responsibilities and Tasks

Data Analysis & Insights

Produce high-quality financial and operational analysis for Group and business units, including trends, variances, performance insights, and KPI monitoring.

Translate complex datasets into clear, actionable insights that support strategic and operational decision-making.

Develop and automate recurring insight reports to improve efficiency and ensure consistent access to reliable information.

Power BI Reporting & Data Model Management

Maintain and enhance enterprise Power BI data models, dashboards, and semantic layers.

Optimise existing reports for performance, usability, and alignment to business definitions and governance principles.

Manage data relationships, DAX measures, and model calculations to ensure accuracy and consistency across reports.

Support the rollout of new BI products or enhancements, including user training and documentation.

Data Governance & Quality

Monitor and investigate data gaps, inconsistencies, or quality issues, ensuring timely resolution and accurate reporting.

Work with the IT/Data Engineering team to troubleshoot data pipeline issues and implement improvements.

Support adherence to data governance standards, data dictionary updates, and alignment to the organisation’s data strategy.

Stakeholder Engagement

Act as a bridge between Finance and cross-functional teams (Commercial, Operations, HR) to understand data needs and provide relevant insights.

Collaborate with IT to ensure finance and business requirements are translated into robust technical solutions.

Provide support and guidance to business users of Power BI, including training on self-service analytics.

Continuous Improvement

Identify opportunities to streamline reporting processes, automate manual tasks, and improve data accessibility.

Contribute to ongoing enhancements in Group reporting, forecasting, and planning processes.

Stay abreast of Power BI updates, analytics best practices, and emerging technologies that could improve decision support.

What can I expect in return?

V. Group can offer you a market leading salary and benefits package, in addition to significant opportunities for career growth and personal development. This a great opportunity to join a true leader in the maritime sector - a company that has exciting plans for future growth.

Essential

Strong analytical background with experience in finance, business analytics, or data analysis.

Proficiency in Power BI, including data modelling, DAX, Power Query, and report creation.

Solid understanding of financial concepts (P&L, balance sheet, KPI measurement, budgeting/forecasting).

Ability to work with complex datasets and derive meaningful insights.

Experience working cross-functionally with Finance, Commercial, HR, or Operations teams.

Strong collaboration skills and ability to communicate insights to non-technical stakeholders.

Experience working alongside IT/Data Engineering teams to resolve data issues.

Desirable

Experience with cloud data platforms (e.g., Azure, Fabric, Snowflake, SQL).

Knowledge of finance systems or ERP data structures.

Exposure to data governance or master data management principles.

Experience in process automation (e.g., Python, Power Automate) is an advantage.

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