QUALIFICATIONS:

• BA/BS in MIS, Business Analytics, Computer Science, Engineering, Finance, Accounting, Economics preferred
• 5-8 years of experience in forensic data analytics or other analytics-focused consulting role
• Analytical mindset - critical thinking and complex problem solving
• Technical skills including SQL, Python, R, VBA, Tableau preferred
• Experience with relational databases
• Experience with ETL software such as Microsoft SSIS, Alteryx ETL, and Pentaho preferred
• Advanced proficiency with Microsoft Office
• Effective interpersonal skills
• Team-oriented mindset with the ability to work under pressure and juggle multiple assignments
• Excellent written and oral communication skills
• Rigorous attention to detail
• Foreign-language skills preferred, including Spanish, Portuguese, Chinese, or others
• Flexibility to travel
• Ability to work in a flexible and hybrid work environment
• Data science experience utilizing machine learning, Python, and AI desired
• Experienced overseeing and reviewing junior staff’s work

Our multidisciplinary team works on complex, global, and sensitive matters in the regulatory and white-collar crime space. We work on issues including embezzlement and other asset misappropriation, securities fraud, commodities and equities market manipulation, corruption, and terror finance. Our current clients range from startups to multinational conglomerates in various industries, and we often operate in data-rich environments. As a Data Analytics associate, you will handle and manage client data throughout every step of a client engagement. Your involvement stretches throughout the entire data lifecycle from collection and ingestion; scrubbing and analysis; to data interpretation, presentation, and reporting. You will use your technology skills to help analyze various forms of structured and unstructured data, identify and deploy analytical methods for effective and rigorous analysis, and think creatively about visualization and presentation of insights. You will use your communication and interpersonal skills to collaborate on a team, deliver results, create and deliver presentations, and build relationships with our clients. Your typical responsibilities may include:

• Create complex and custom data models, often working with financial, accounting, and other enterprise data. Compile, normalize, and analyze disparate datasets to help our clients solve problems
• Help improve efficiency in processing large quantities of data by automating repeatable processes
• Use object-oriented languages like Python to parse, scrape, and manipulate raw data from a variety of sources
• Perform advanced querying techniques in SQL (and other database languages) to profile, summarize, make sense of, and trace information across systems
• Develop and suggest solutions to complex problems by thinking “outside the box”
• Quality-check your own work and others’
• Guide and teach other team members to be better analysts
• Assist with drafting reports, presentations, and other client deliverables, including working with visualization tools like Tableau or PowerBI to create dashboards to present analytics-driven insights to internal teams and clients
• Present to lawyers, corporate clients, and government regulators
• Communicate effectively to all levels of engagement management and externally
• Assist with researching technical and industry-specific topics
• Balance multiple client projects and other team responsibilities
• Assist with project management