In this opportunity as Industry Data Analyst Jr , you will: Design and deliver in-depth financial benchmarking analyses for Strategic Insights customers, as well as the broader professional markets the company serves. Conduct data and industry presentations for managing partners, C-level executives, and firm leaders at client firms, as well as the broader professional markets and internal groups. Collaborate with the sales teams to present information to clients in both a virtual and in-person capacity (some national and international travel will be required). Identify business development opportunities through high-level interactions with the marketplace, referrals, and relationship building strategies. Collaborate with sales and implementation teams to ensure the timely and professional delivery of services to manage and exceed client expectations. Validate data to ensure consistent reporting of defined business metrics. Develop content driven by insights derived from data analysis, extensive research, and thorough industry knowledge across legal, tax, corporate and government spaces. Project manage the final production of content with internal and external stakeholders. Establish yourself as a subject matter expert by articulating industry data analysis & insights through multiple mediums including client facing content, webinars, speaking engagements, and written blog posts and whitepaper reports. Support new team members, contributing to onboarding and team growth Plan and participate in predictive analytics and automation projects, with measurable efficiency targets. About You You’re a fit for the role of Data Analyst Jr. if your background includes: Bachelor’s degree in economics, finance, statistics, data science/engineering, computer science, applied mathematics, business analytics or related field preferred. Preferably have 1-2 years of experience. Familiarity with any professional service industry knowledge preferred. Strong financial acumen with the ability to organize, analyze, and communicate complex data in a clear, engaging, and professional manner to both clients and internal stakeholders. Strong communication skills Personable, polished presence and professional image. Ability to produce work of the highest quality under tight deadlines. Strong attention to detail. Strong analytical skills, e.g. descriptive statistics, predictive statistics, and exploratory data analysis. Proficiency with Microsoft Office, in particular Excel and PowerPoint skills. Preferred experience with Power BI, Power Pivot and Power Query. Familiarity with AI tools, e.g. prompt engineering and artificial neural networks concepts Experience needed in SQL and Python. Experience preferred Predictive Modeling software, Alteryx and R. Preferred experience in Git and GitHub Familiarity with cloud analytics platforms (Azure, AWS, Google Cloud) is a plus
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Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees