Business Intelligence Unit Analyst

Description

About the firm:

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.

To learn more, visit:AlvarezandMarsal.com.

The opportunity:

Through continued growth comes more demand for business insights and data used to make objective decisions. To support this need, helping maintain operational efficiency and leverage our data assets to gain insights and drive decision making, A&M has invested in growing its Business Intelligence Unit. The BIU creates new data pipelines, constructs analysis, builds visualisation tools that deliver real-time information and insights to the business, and helps the business realize operational efficiencies identified in analysis.

The firm is now looking for an Analyst to join its Analytics, Tools and Reporting team and contribute to this exciting strategic initiative. The successful candidate will have the opportunity to work with various data sources and technologies, develop and maintain dashboards and reports, and provide analytical support to senior stakeholders across the firm.

The job will involve gathering business needs, transforming data and building/creating management information systems as well as presenting analysis and driving results. The person will collaborate with all our global practice areas, such as Private Equity Performance Improvement, Corporate Transformation, Disputes & Investigations, and Financial Services Advisory to increase operational effectiveness and find ways to grow revenue.

Overview of the role:

• Collect, clean, and transform data from various sources and systems into meaningful insights and dashboards using tools such as Power BI, Python, and SQL.
• Conduct analysis to identify and quantify efficiency, cost reduction, revenue growth, and risk mitigation using data-driven approaches and statistical techniques.
• Communicate and present findings and recommendations to senior management and key stakeholders using clear and concise language and visuals.
• Work with business partners and other staff to deliver projects to realise quantified benefits.
• Work with businesses and IT to create and/or implement new tools that can enhance processes and generate data used to inform decision making.
• Keep up with the latest trends and tools in data science, machine learning, and artificial intelligence, and apply them to solve business problems and generate value.

Desired skills:

• Excellent problem-solving abilities with attention to detail.
• A strong knowledge of SQL and experience working with relational databases.
• Proficiency in Python programming, with experience using popular data manipulation and machine learning libraries.
• Experience conducting User-Centered Design.
• A solid understanding of statistical concepts and techniques, such as regression, clustering, and hypothesis testing.
• Strong communication skills, both written and verbal, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• An entrepreneurial spirit; not afraid to challenge the status-quo.

Necessary Skills and Qualifications:

• A 2:1 Bachelor’s degree from an accredited university or equivalent work experience.
• Experience in utilising data to solve business/financial problems.
• Experience in SQL and/or another coding language (Python, R).

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