Analyst, Data Analytics - Transaction Services

at  Alvarez and Marsal

DESCRIPTION

Companies, investors and government entities around the world turn to Alvarez & Marsal (A&M) for leadership, action and results. Privately held since its founding in 1983, A&M is a leading global professional services firm that provides advisory, business performance improvement and turnaround management services. When conventional approaches are not enough to create transformation and drive change, clients seek our deep expertise and ability to deliver practical solutions to their unique problems.
With over 10,000 people providing services across six continents, we deliver tangible results for corporates, boards, private equity firms, law firms and government agencies facing complex challenges. Our senior leaders, and their teams, leverage A&M’s restructuring heritage to help companies act decisively, catapult growth and accelerate results. We are experienced operators, world-class consultants, former regulators and industry authorities with a shared commitment to telling clients what is really needed for turning change into a strategic business asset, managing risk and unlocking value at every stage of growth.

QUALIFICATIONS:

• MSc degree in Econometrics/Data Analytics/Computer Science related studies or in Finance field with affinity for programming.
• Fluent business level of Dutch and English is essential.
• Strong analytical skills with experience in data analysis and financial modelling.
• Proficiency in ETL and data analytics tools such as Alteryx, SQL, Python, R, or similar
• Experience in a data visualization tool such Tableau, PowerBI, Qlik, or similar is a plus.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• Prior internships experience in finance field is a plus.

• Assist with core transaction analytics, helping to identify key financial performance and operating trends as well as insights thru applied data analytics.
• Assess the quality of the target company’s financial and operational datasets.
• Analyse underlying financial statement performance drivers via key transactional and operational data. Clean, transform, and model data into meaningful information used to drive discussions with target management through observations to insights and conclusions.
• Collaborate with senior team members to develop data-driven insights and recommendations for clients.
• Utilize advanced data analytics tools and techniques to analyse large datasets and identify key trends and patterns.
• After an investigative analysis, assist in the construction of deal-oriented reports and presentations using data visualization tools to communicate findings to clients and stakeholders.
• Assist in the development and implementation of data analytics strategies to enhance the effectiveness of transaction advisory services.
• Participate in meetings and conference calls with target company management and with client personnel.