Data Analyst

We’re looking for a motivated Data Analyst to help transform data into meaningful insights that drive business decisions. This is an excellent opportunity for a recent graduate or early-career professional who is passionate about analytics, business intelligence, and solving real-world business challenges through data.

In this role, you’ll work closely with senior analysts, consultants, and business stakeholders to develop dashboards, analyze data, and support reporting initiatives. You’ll gain hands-on experience across a variety of industries while building a strong foundation in analytics, data visualization, and business problem-solving.

What You’ll Do:

• Assist with data analysis projects, from data ingestion to data transformation to visualizations and QA.
• Write SQL queries to extract, validate, and analyze data from multiple sources.
• Build and maintain business intelligence dashboards and reports that provide actionable insights.
• Collaborate with team members and stakeholders to understand business needs and KPI requirements.
• Support data quality initiatives through testing, validation, and documentation.
• Analyze trends, identify opportunities, and help communicate findings to both technical and non-technical audiences.
• Participate in client and internal meetings, contributing insights and recommendations based on data analysis.
• Learn and apply best practices in data visualization, analytics, and business intelligence.
• Explore AI-enabled analytics and reporting solutions to improve efficiency and decision-making.

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, Mathematics, Business Analytics, or a related field.
• 0 to 2 years of experience in analytics, reporting, business intelligence, internships, co-ops, or related projects.
• Foundational SQL skills, including experience querying and joining datasets.
• Experience with or exposure to a BI tool such as Power BI, Tableau, Domo, Looker, Sigma, or similar platforms.
• Strong analytical and problem-solving mindset with attention to detail.
• Ability to communicate findings clearly and effectively.
• Eagerness to learn new technologies, tools, and business processes.
• Strong organizational skills and ability to manage multiple priorities.

Preferred

• Familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift.
• Exposure to ETL/data integration concepts and tools such as dbt, Fivetran, or Domo.
• Experience working with datasets through coursework, internships, personal projects, or capstone projects.
• Interest in AI, automation, and advanced analytics.
• Experience with Excel, statistics, or data visualization best practices.

• Work alongside experienced analysts, engineers, and consultants who are invested in your development.
• Gain exposure to industries including finance, manufacturing, home services, senior living, and residential management.
• Develop skills in modern analytics platforms, cloud data technologies, and AI-driven business intelligence.
• Contribute to meaningful projects that influence real business outcomes.
• Benefit from a collaborative, professional, and growth-focused culture with ongoing learning opportunities.

Individual salaries that are offered to a candidate are determined after consideration of numerous factors including internal salary alignment, market data, and the candidate’s qualifications- including, but not limited to, specialty skills, prior relevant industry experience, and relevant degrees or certifications (e.g., CPA, JD). The salary range estimated below is inclusive of all departments within the Firm, and offered salaries may vary within the given range depending on the specific department. A reasonable estimate of the base salary range for this level is $65,000-$70,000, not including discretionary annual bonus and other competitive benefits.