Data Analytics Consulting Analyst/Associate (2025 Bachelors/Masters graduates)

About the position Charles River Associates (CRA) is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations, and governments around the world. The Data Analytics Consulting Analyst/Associate position is designed for candidates graduating in December 2024 or Summer 2025 with a strong academic focus on quantitative research fields such as Computer Science, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems. This role is pivotal in using data analytics to enhance clients' understanding of key business, risk, strategic, or regulatory issues. In this position, you will manipulate and analyze large volumes of disparate data, often exceeding 100 million records, to develop critical insights for clients facing business disputes, regulatory matters, or complex litigation. You will be responsible for building statistical and machine learning models, as well as creating custom visualizations and applications to detect patterns, trends, outliers, and drivers among relevant business issues. The role also involves applying predictive analytics and statistical modeling techniques for various applications, including recommender systems and financial crime detection. Collaboration is key, as you will work closely with business stakeholders and experts to develop innovative tools that support the evolving data landscape. You will also communicate your findings through visuals, data tables, and models, assisting in the development of final deliverables, reports, and presentations for clients. This position is not a technical IT role, but rather focuses on the application of data analytics in a consulting context, requiring a blend of analytical skills and effective communication. Responsibilities • Use data analytics to enhance clients' understanding of key business, risk, strategic, or regulatory issues. , • Manipulate and analyze large volumes of disparate data (>100MM records) to develop critical insights for clients' issues. , • Build statistical and machine learning models, or custom visualizations and applications to detect patterns, trends, outliers and drivers among relevant business issues. , • Apply predictive analytics, statistical modelling and machine learning/deep learning techniques for various applications. , • Assist with the collection, loading, standardization, and identification of relevant data for analysis. , • Communicate findings from analyses to team members through visuals, data tables and models, and assist with the development of final deliverables, reports, and presentations to clients. , • Work closely with business stakeholders and experts to develop new and innovative tools to support the evolving data landscape. Requirements • Bachelor's or Master's degree (preferred) in a quantitative research field such as Computer Science, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems. , • Experience with relational database systems such as MS SQL Server or Oracle Database. , • Experience in executing data science methodologies using programming languages like Python, R, SAS, VBA, or Scala. , • Experience in data visualization using tools like Power BI, Tableau, D3.js, Qlik Sense, HTML/JavaScript. , • Experience in cloud-based platforms (e.g. Snowflake, AWS RedShift, Qubole, Azure). , • Knowledge of Natural Language Processing & Text Mining, Experimental Design, Bayesian Networks, or Network/Graph Mining. , • Curious and analytical thinkers with creative approaches to non-standard problems. , • Effective written and oral communication skills. , • Eagerness to learn new skills and programming languages. , • Demonstrated high level of initiative and leadership. , • Strong teamwork and collaboration capabilities. , • Excellent time management and task prioritization skills. Nice-to-haves • Experience in broader analytics areas such as Data Engineering, Social Listening, Optimization, or Simulation. , • Clear and demonstrated interest in consulting through coursework, work experience, activities, or attendance at CRA recruiting events. Benefits • 100 hours of training annually through formal and informal programs. , • Wellness programming to support physical, mental, emotional, and financial well-being. , • In-house immigration support for foreign nationals and international business travelers. , • Opportunities for leadership and collaboration through internal firm development activities. Apply Job!