About the Opportunity
Our client is an elite global law firm with over 1,000 lawyers in many financial capitals across the world. They are seeking an Analyst, Business Operations and Data Analytics, who is responsible for providing support to data analytics, process improvement, and process automation efforts within the firm’s Finance & Accounting functions.
The annual base salary range is $110,000 to $130,000. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.
Job Responsibilities
- Support the Finance Group by leveraging the firm’s existing data and financial systems infrastructure to develop our data strategy and business insights capability, including dynamic modeling, utilizing state of the art automation tools
- Identify and suggest improvements when problems or opportunities arise
- Assist in designing and developing complex data models and workflows to measure the firm’s KPIs
- Provide dynamic data design, analytics, and process automation support for cross-functional projects (e.g., Business Development; Partner Affairs, etc.)
- Support the automation of periodic financial reports using the latest data management, projection, and analytics tools (e.g., Alteryx, Tableau, Power BI, UiPath, etc.)
- Collaborate with a cross-functional team of financial professionals to identify process inefficiencies and design and develop solutions that reduce time to completion, enhance the pace of business insights, and eliminate repetitive and redundant processes
- Provide analytics and business process support for global financial operations
- Keep up-to-date with developments in the area of process automation
Job Requirements
- Bachelor’s degree in a related field; Advanced Degree in Finance, Data Science or related field a plus
- 3-5 years of public or private experience in a similar capacity
- Knowledge of Alteryx, Tableau, Power BI, UiPath and other data analytics and process automation platforms
- Proficient in SQL a must
- Proficient in Python a plus
- Excellent analytical skills, strong communication skills and solid interpersonal skills
- Comfortable managing large sets of data and driving data driven solutions and insights
- Willing to learn new skills through training or self-teaching
