About Glimmer Technologies:

Glimmer Technologies is an enterprise AI company operating at the intersection of AI depth and real-world workflows. We build multimodal AI solutions designed to help enterprises interpret complexity, unblock decisions, and systematically upgrade how they operate. Our platform spans Document and Decision Intelligence, Workflow and Journey AI, Policy and Knowledge Systems, Voice and Conversational AI, and Analytical Automation, all engineered to embed intelligence directly into the enterprise operating layer, not just sit on top of it. We are at a critical inflection point, building a category-defining company for leaders who want to shape the foundation, not just manage it.

Position Overview:

Glimmer Technologies is looking for a sharp, analytically-driven Financial Analyst to bring forward-looking rigour to its finance function. As a SaaS company, Glimmer's financial story goes well beyond revenue, it lives in ARR growth, churn behaviour, gross margin trends, and unit economics. This role will work closely with the Finance Controller to produce the models, metrics, and analysis that help leadership make confident, data-backed decisions about pricing, customer acquisition, and growth investments. This is an ideal opportunity for a high-calibre MBA graduate or an early-career analyst looking to build a meaningful career at the intersection of finance and technology.

Key Responsibilities:

SaaS Metrics & MIS:

- Assist in the preparation of the monthly MIS with a specific focus on SaaS-critical metrics: ARR, MRR, churn rate, net revenue retention, customer lifetime value, and CAC payback period.

- Build and maintain dashboards and reporting templates that translate raw financial data into actionable business intelligence.

- Collaborate with the product and revenue teams to understand the drivers behind metric movements.

- Ensure consistency and accuracy in how SaaS metrics are defined, calculated, and reported across the organisation.

Budgeting & Forecasting:

- Support the annual budgeting process, working with functional leaders to gather assumptions and build structured financial plans.

- Assist in the preparation of quarterly rolling forecasts, incorporating actuals, pipeline data, and updated business assumptions.

- Maintain and update budget-versus-actual trackers and provide regular variance analysis to the Finance Controller.

- Support scenario modelling to stress-test financial plans under different growth and cost assumptions.

Financial Modelling & Analysis:

- Develop and maintain financial models to support strategic decisions on pricing, market expansion, hiring, and capital allocation.

- Analyse financial performance and provide clear, well-structured commentary on variance drivers and trends.

- Build cohort analyses, unit economics models, and customer-level profitability assessments.

- Support the preparation of board-level financial presentations, investor updates, and group-level reporting packages.

Business Partnering:

- Work closely with the product, sales, and customer success teams to understand business drivers and translate them into financial context.

- Respond to ad hoc analytical requests from leadership with well-reasoned, clearly structured analysis.

- Identify opportunities to improve the quality and timeliness of financial reporting through better data systems and analytical processes.

Required Qualifications:

Education:

- MBA in Finance or a related field from a reputed institution is mandatory.

- Strong academic record with demonstrated analytical aptitude.

- CFA Level 1 or progress toward the CFA designation is an advantage.

Experience Requirements:

- Fresher or up to 2 years of experience in a finance, FP&A, investment, or business analytics role.

- Prior internship or project experience involving financial modelling, SaaS metrics, or business analysis is preferred.

- Exposure to a technology company or start-up environment is a strong plus.

Technical Competencies:

- Strong financial modelling skills; able to build clean, structured, assumption-driven models from scratch in Excel.

- Familiarity with SaaS business metrics and subscription revenue economics.

- Proficiency in Excel (advanced level); experience with data visualisation tools (Power BI, Tableau, or similar) is an advantage.

- Ability to work with large datasets, identify trends, and present findings clearly and concisely.

- Comfort with accounting fundamentals and the ability to read and interpret financial statements.

Leadership & Soft Skills:

- Rigorous analytical thinker who brings both speed and precision to financial problems.

- Strong communication skills; able to present complex analysis in a clear, non-technical manner to business leaders.

- High degree of intellectual curiosity and a genuine interest in understanding the business behind the numbers.

- Collaborative, proactive, and able to manage multiple workstreams in a fast-paced environment.

- Detail-oriented with a commitment to accuracy and data integrity.