Leveraging analytical and data visualization tools (e.g., ArcGIS, Costar, IMPLAN, Python, Tableau) to derive patterns, trends and insights from client and third-party datasets to inform client recommendations.
Supporting logistical and administrative processes to ensure risk management and compliance.
Synthesizing multiple inputs into coherent insights across a variety of formats; slide decks, written narrative, playbooks, dashboards and toolkits.
Conducting business modelling (market sizing, segmentation, penetration, adoption) and investment analysis by building custom discounted cash flow (DCF) Excel models to calculate revenue, cost-benefit analyses (CBA), EBITDA, NPV, IRR, CAGR for client’s policies, projects and programs.
Creating pitch decks and defining AECOM Advisory’s value proposition.
Applying existing and hypothesizing new solution frameworks to deconstruct, dimensionalize, and analyze client problems.
Creating highly-polished executive-ready decks as you work, to build buy-in and convey emerging data-driven insights.
Leveraging AI tools to conduct baseline assessments and secondary research.
Outlining, supervising and providing quality control over analytical tasks assigned to junior team members.
Conducting stakeholder interviews, including with C-suite clients and senior management stakeholders.
Requirements
python
arcgis
powerbi
mba
bachelor's
management consulting
Functional experience in at least one of the following areas desired, but not required:Proficiency with data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.Proficiency with geospatial datasets and software e.g., ArcGIS.Proficiency with input-output or general equilibrium economic modelling tools such as Esmi, IMPLAN or REMI.Proficiency with Stata, R, Python and other programming languages.Proficiency with data visualization techniques, such as with PowerBI or Tableau.
Proficiency with input-output or general equilibrium economic modelling tools such as Esmi, IMPLAN or REMI.
Strong commercial acumen and willingness to have an informed point-of-view, grounded in an interest in enterprise challenges (people, process, technology) and developing understanding of client industries and their context.
Sharp analytical, logical reasoning and structured problem-solving skills, employing abstraction techniques to solve ambiguous client problems, and ingest and parse out large volumes of client information.
Bachelor’s degree.
Solid verbal communication and narrative development skills, with the ability to summarize and convey key insights to C-suite and senior management audiences.
At least 4 years of management consulting or related experience (e.g., technical consulting, analyst roles in business, public policy, economics research, private equity, investment banking or corporate strategy experience) or demonstrated equivalency of experience and/or education
Outstanding attention to detail.
Proficiency with data visualization techniques, such as with PowerBI or Tableau.
Work in a high-tempo, high-context client-facing environment, with the ability to maintain poise, maturity and work well under pressure.
Proficiency with data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
Strong interpersonal skills, client-service mindset and ability to act as a trusted adviser to clients.
Able to be self-directed, anticipatory and responsive to iterative feedback.
MBA, or other Master’s degree in Operational Research, Management, Management Science, Finance, Economics, Systems Engineering and/or related fields, or demonstrated equivalency of experience and/or education
Exceptional numerical reasoning and quantitative skills.
Corporate or enterprise/organizational assessment.
Proficiency with geospatial datasets and software e.g., ArcGIS.
Sustainability, climate change, net zero and ESG strategies and frameworks incl. non-financial valuation methodologies.
Solutions architecture and framework development to meet our clients’ needs.
Proficiency with Stata, R, Python and other programming languages.
Domain expertise in at least one of the following areas desired, but not required:Corporate or enterprise/organizational assessment.Project finance and/or infrastructure investment appraisal.Sustainability, climate change, net zero and ESG strategies and frameworks incl. non-financial valuation methodologies.Economic development, industrial policy and market transformation.