Role Overview
We’re seeking a detail-oriented and intellectually curious Entry-Level Data Analyst to join our data-driven team. In this support role, you’ll work closely with experienced analysts and cross-functional teams to transform raw data into actionable insights that shape strategic business decisions.
Key Responsibilities
- Collect, analyze, and interpret large structured and unstructured datasets to identify trends and patterns
- Perform data cleaning, mining, and aggregation to prepare datasets for modeling and analysis
- Design, develop, and maintain databases and data-driven solutions aligned with business goals
- Utilize programming languages and statistical tools to build models, generate insights, and deliver impactful reports
- Collaborate continuously with internal teams to ensure alignment with project objectives and outcomes
- Support the implementation of data models, ensuring the accuracy and reliability of insights delivered
Qualifications
- Bachelor’s degree required; Master’s in Computer Science, Mathematics, or Engineering preferred
- 0–2 years of related experience in a data-focused role
- Familiarity with data analysis tools and languages (e.g., Python, R, SQL)
- Understanding of statistical techniques and their business applications
- Strong communication and collaboration skills
Data Scientist mixed with BI – version 2
Join a data-driven team where curiosity meets impact. We’re looking for a passionate and detail-oriented Data Analyst with a strong foundation in business intelligence to shape smarter decisions through insightful analytics and scalable solutions.
Key Responsibilities
- Collect, analyze, and interpret structured and unstructured datasets to uncover trends and business insights
- Translate business needs into technical designs for BI solutions and analytical models
- Perform data cleaning, mining, and aggregation to prepare datasets for modeling and reporting
- Design, implement, and optimize ETL routines for loading data into Data Warehouses
- Develop and manage BI job scheduling and monitoring systems
- Build scalable dashboards, scorecards, and models with drill-down/drill-through capabilities
- Conduct performance tuning of ETL and ensure long-term BI capacity planning
- Collaborate with IT teams, business analysts, and infrastructure specialists to meet project goals
- Research and resolve data integrity issues while ensuring reliability and accuracy of insights
Qualifications
Education:
- Bachelor's degree required (Computer Science, Analytics, Mathematics, or related field); Master’s preferred
Experience:
- 0–4 years of experience in data-centric roles, with strong grounding in:
- Relational Data Modeling
- Microsoft SQL Server BI Stack (SQL Server, SSIS, SSRS, Power BI)
- Writing Data Analysis Expressions (DAX) in Power BI & Analysis Services
- Working with flat files, SQL Server, and DB2 databases
Skills:
- Proficiency with Python, R, SQL for data analysis and modeling
- Solid understanding of statistical techniques and their application in business contexts
- Hands-on experience in prototyping, proof of concept development, and data profiling
- Knowledge of BI architecture, performance monitoring, and security best practices
- Excellent written and verbal communication skills, with the ability to explain complex systems to various stakeholders
- Experience creating technical documentation and architecture diagrams
The estimated salary range for this position in New York is $65-85,000.
Please note that the salary range provided on the job posting does not include potential bonuses and other forms of compensation and, in some cases, may fall outside the range. The actual salary offered will be based on a wide range of factors, including relevant skills, training, experience, education, and where applicable, licensure or certification obtained.
