Director, Data Analytics
Not Disclosed•Full-TimeOn-site
location_on707, 8th Avenue, Theater District, Manhattan Community Board 4, Manhattan, New York County, New York, 10036, United States
About the Team
Ranked as the pre-eminent US investigative firm by Chambers & Partners, Nardello & Co. handles a broad range of complex issues including civil and white-collar criminal litigation, anti-corruption and fraud investigations, digital investigations, and cyber defense. Our team includes former US federal prosecutors, international lawyers, law enforcement personnel, intelligence operatives, and forensic experts.
Our clients include the world's leading law firms, financial institutions, Fortune 500 and FTSE 100 companies, high-net-worth individuals, governments, and NGOs. With offices in New York, London, Washington, DC, Los Angeles, San Francisco, Paris, Hong Kong, Dubai, and Singapore, we maintain a global professional staff dedicated to delivering expert insights.
About the Role
Reporting to the Managing Director of Digital Investigations & Cyber Risk, the Director of Data Analytics supports investigations, risk assessments, and expert witness matters across the firm. This role is central to the Financial Investigations & Forensic Accounting practice, where you will lead advanced data analytics initiatives.
You will partner with managers and multidisciplinary teams to design, execute, and communicate sophisticated analytical solutions across complex, sensitive datasets. Your day-to-day involves transforming unstructured data—such as mobile chats, emails, and financial records—into structured formats to support investigation workflows. You will build production-quality scripts and automation to streamline repeatable processes while evaluating and managing third-party analytics tools and cloud platforms. Ultimately, you will translate complex findings into clear reports, dashboards, and visualizations for both technical and non-technical stakeholders.
Equal Opportunity
Nardello & Co. is an equal opportunity employer committed to building a diverse and inclusive workforce.
Work location
Work model: On-site
707, 8th Avenue, Theater District, Manhattan Community Board 4, Manhattan, New York County, New York, 10036, United States
New York, New York
Key Responsibilities
- check_circleLead extract, transform, and load (ETL) processes for transaction, compliance, and forensic datasets
- check_circleTransform unstructured data into structured, analysis-ready formats to support investigation workflows
- check_circleDesign, code, and refine analytics models using custom scripts and third-party platforms
- check_circleReport analytical results to stakeholders through written reports, dashboards, and data visualizations
- check_circleDevelop analytic workflows for cyber and digital investigations
- check_circleBuild and maintain production-quality custom scripts, queries, and automation to streamline processes
- check_circleSupport eDiscovery workflows including data processing and loading into review platforms
- check_circleManage third-party analytics tools and cloud processing platforms based on engagement requirements
Requirements
- verifiedMinimum of 5 years of experience in data analytics, investigations, consulting, litigation support, or related environment
- verifiedProficiency in programming, SQL, and Python
- verifiedAdvanced experience with Excel, Access, SAS, Alteryx, Tableau, and Power BI
- verifiedHands-on experience with eDiscovery platforms such as Relativity, Brainspace, or Nuix
- verifiedFamiliarity with cloud processing platforms such as Azure or GCP
- verifiedBachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Economics, Finance, or related quantitative discipline preferred
- verifiedMaster's degree in Data Science, Analytics, Computer Science, Business Analytics, or related field preferred
Nice to Have
Experience supporting investigations, regulatory matters, risk assessments, or expert witness projects. Sector experience in Financial Services and/or Health Care. Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Economics, Finance, or a related quantitative discipline. Master's degree in Data Science, Analytics, Computer Science, Business Analytics, or a related field.
