Industry Data Analyst

Thomson Reuters is a global leader in providing trusted content and technology solutions. They are seeking a Junior Industry Data Analyst to design and deliver financial analyses, conduct presentations, and collaborate with sales teams to enhance client relationships.

Responsibilities

• 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

Skills

• 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
• Experience needed in SQL and Python
• 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
• Preferred experience with Power BI, Power Pivot and Power Query
• Familiarity with AI tools, e.g. prompt engineering and artificial neural networks concepts
• 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

Benefits

• Hybrid Work Model
• Flex My Way
• Career Development and Growth
• Industry Competitive Benefits
• Culture
• Social Impact
• Making a Real-World Impact
• Market competitive health, dental, vision, disability, and life insurance programs
• Competitive 401k plan with company match
• Competitive vacation, sick and safe paid time off
• Paid holidays (including two company mental health days off)
• Parental leave
• Sabbatical leave
• Optional hospital, accident and sickness insurance paid 100% by the employee
• Optional life and AD&D insurance paid 100% by the employee
• Flexible Spending and Health Savings Accounts
• Fitness reimbursement
• Access to Employee Assistance Program
• Group Legal Identity Theft Protection benefit paid 100% by employee
• Access to 529 Plan
• Commuter benefits
• Adoption & Surrogacy Assistance
• Tuition Reimbursement
• Access to Employee Stock Purchase Plan

Company Overview

Company H1B Sponsorship