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# Data Analyst

- **Company:** Aditi Consulting
- **Location:** Boston, MA, United States
- **Salary:** $81,120.0 - $84,240.0
- **Contract:** Contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Visualization, Python (Programming Language), Monte Carlo Methods, NumPy, Power BI, SQL Databases, Data Processing, Pandas, Matplotlib, Spotfire
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/574203af-959f-4088-a27d-2db56c4cac1a

## About the Role

* Proficiency in Python and SQL.
 * Experience processing, filtering, cleaning, and standardizing large datasets.
 * Ability to restructure, pivot, and reform data based on current needs
 * Experience with Python data libraries such as Numpy and Pandas.
 * Working knowledge of Microsoft Excel
 * Experience with data visualization tools such as Matplotlib, and Spotfire.

Preferred Traits:

 * Passion for data exploring and organizing large datasets.
 * Intellectual curiosity with ability to learn new concepts, scripts, and methods.
 * Ability to manage multiple, competing priorities simultaneously.
 * Ability to deliver work in an organized, and on-time fashion.
 * Ability to work in highly collaborative, cross-functional environments.

Top 3 Must Have Skill Sets:

 * Proficiency coding with SQL, Python, etc.
 * Experience creating dashboard in Spotfire, Tableu, PowerBI
 * Some experience creating models such as in-silico models, finite element models, physics based models, monte carlo simulations

## Description

The ideal candidate is highly motivated, with a passion for modeling, analytics, and technology. The successful candidate will be given opportunities to apply their expertise to enhance the way data is used to inform and make decisions ., * Creating striking visualizations to aid in data interpretation and usage.

 * Prototype, build, and customize analytical applications, often based off data scientist model output, to enable in-depth analysis
 * Constantly iterate with the business on analysis and dashboard design to ensure all necessary features and data are present
 * Partner with IS and Data Engineers to ensure that the models feeding the dashboards are robust, functional, and relevant to business needs
 * Exploring and evaluating new techniques to improve the data processing capabilities.