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Sobre esta vaga de Data Analyst (LPM), Asia na Herbert Smith Freehills Kramer

Herbert Smith Freehills Kramer · Presencial · Singapore

Herbert Smith Freehills Kramer is a world-leading global law firm, where our ambition is to help you achieve your goals.

 

Exceptional client service and the pursuit of excellence are at our core. We invest in and care about our client relationships, which is why so many are longstanding. We enjoy breaking new ground, as we have for over 170 years.

 

As a fully integrated transatlantic and transpacific firm, we are where you need us to be. Our footprint is extensive and committed across the world’s largest markets, key financial centres and major growth hubs.

 

At our best tackling complexity and navigating change, we work alongside you on demanding litigation, exacting regulatory work and complex public and private market transactions. We are recognised as leading in these areas.

 

We are immersed in the sectors and challenges that impact you. We are recognised as standing apart in energy, infrastructure and resources. And we’re focused on areas of growth that affect every business across the world.

 

All of this is achieved by supporting the growth of our people, who help us deliver on our ambition – which is to help you achieve yours.

 

Herbert Smith Freehills Kramer: Your goals. Our ambition

The Opportunity

We’re looking for a dynamic LPM Data Analyst, Asia to join our Singapore office and collaborate closely with our Global Legal Project Management team. In this role, you’ll develop and apply skills in data, reporting, financial analysis, dashboards, automation and client portals to support excellent legal service delivery to clients and internal stakeholders; working closely with senior LPM colleagues and relevant practice groups, the role will provide data-led insight and technology-enabled support on large, complex and multi-jurisdictional matters.


To be successful in this role, you should have:

Essential

  • Degree qualified in Law, Management, Finance, Business, Data/Analytics or a related subject, or equivalent relevant experience.
  • At least 1-3 years’ relevant experience in a professional services environment.
  • Strong analytical ability, financial acumen, understanding of key financial performance indicators and the ability to simplify complex data into clear communications.
  • Strong Microsoft 365 skills, strong IT literacy and an ability to become proficient in new software and systems quickly.
  • Advanced Excel capability, including formulas, lookups, arrays, pivot tables, calculated fields, slicers, charts, deduplication, profitability calculations, percentage calculations, Gantt charts and client-friendly formatting.
  • Basic Power BI capability or clear aptitude to develop it quickly, including dashboard creation, basic data modelling, basic DAX measures, custom columns, model relationships and integration of estimates into reporting models.
  • Awareness of confidentiality, permissions, information security and version control principles in the context of reporting and shared data environments.
  • Experience handling financial or operational data, including cleansing, reconciliation, validation, structuring, analysis and presentation of complex or imperfect data sets.
  • Interest in, and practical aptitude for, AI, GenAI, legal technology, collaboration software, automation and innovation in legal service delivery.
  • Communicate complex issues succinctly, both verbally and in writing.
  • Ability to build effective working relationships with stakeholders at different levels of seniority, including lawyers, business finance and technology teams.
  • Ability to work independently and as part of a team, with attention to detail, an organised and practical mindset, strong time management and the ability to prioritise demanding workloads.

Desirable

  • Strong Power BI capability, including dashboard creation, basic data modelling, DAX measures, custom columns, model relationships and integration of estimates into reporting models, or clear aptitude to develop these skills quickly.
  • Strong SharePoint and client portal capability, including site structure, permissions, document libraries, lists, user experience and risk-aware permission management.
  • Understanding of law firm economics.
  • Experience using Power Query, Power Automate and/or other low-code tools to improve data transformation, reporting and workflow efficiency.
  • Experience with advanced Power BI (complex DAX, parameterised queries), data extraction, SQL, Python, API-based reporting or equivalent approved coding and analytics methods.
  • Practical experience with AI, GenAI or machine learning tools applied to legal, financial or operational data analysis.
  • Experience using HighQ, virtual deal rooms or similar client-facing collaboration and document management platforms.
  • Regional language skills where relevant to the role and location.


Team

Business Finance

Working Pattern

Full time

Location

Singapore

Contract type

Permanent Contract


Diversity & Inclusion

We are committed to attracting people from all backgrounds and creating a respectful and inclusive culture where everyone thrives. We see this as essential to our success, including our ability to innovate and achieve sustained high performance. This is a key part of our Values - Human, Bold, and Outstanding.

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Sobre a Herbert Smith Freehills Kramer

At Herbert Smith Freehills Kramer, we align your growth and ambition with ours. We invest in your personal and professional growth and support you to achieve your ambitions. And you share responsibility for playing a part in delivering the firm’s growth and ambition too. A leading global law firm, with over 6,000 people, we are in the world's largest markets, key financial centres and major growth hubs. We’re recognised leaders in demanding contentious matters, exacting regulatory work and complex public and private transactions. We’re immersed in the many challenges facing our clients. We’re invested and resourceful. We understand the part technology and digitalisation play in the delivery

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