Data Analyst - Consumer Datasets at Consumer Edge

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Sep, 26

Salary

95000.0

Posted On

08 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Analysis, Data Cleaning, Data Visualization, Predictive Modeling, DBT, Alternative Data, Communication Skills, Analytical Skills

Industry

Information Services

Description

Company overview Consumer Edge is the leading provider of consumer data for some of the largest hedge funds, venture capital and private equity firms, and corporations in the United States and Europe. We arm our clients with actionable consumer, competitive, and market insights that drive better investment and strategic decisions. Role summary The Data Analyst at CE will be responsible for analyzing, cleaning, building, and supporting scalable data products built on our large, alternative datasets. The ideal candidate is a quick study who can grok complex topics without much handholding. Creative and innately curious, they will chase down promising lines of analysis and dig into unexpected results, while always keeping the big picture goals in mind. Your main responsibilities Analyze a diverse array of large alternative datasets for insights and signal Clean and add structure to semi-structured and unstructured data Combine multiple datasets into predictive models Design and build scalable data products in concert with Data Scientists, Data Engineers, Product Managers, and Financial Analysts Develop creative and intuitive ways to visually present data insights to clients Investigate data anomalies and quality issues, from initial triage through root-cause resolution) Develop and maintain a working understanding of how CE's data assets map to real-world behavior.) You will be successful in this role if you have: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Interest in consumer and retail behavior across the globe Ability to juggle multiple, rapidly evolving projects Proficient using SQL to analyze and organize multiple large datasets Excellent written and verbal communication skills – able to readily translate between technical and non-technical audiences Knowledge of Python or other programming languages a plus Experience in the following a plus: data visualization tools alternative data DBT You will be successful at CE if you have: A detail-oriented mindset Ability to balance multiple priorities at once. An internal sense of urgency and ability to meet strict deadlines. Ability to work in a collaborative, team-oriented environment. Benefits & perks We are a remote-first company with a distributed environment and flexible working arrangements. We believe that distributed workers should be first-class citizens. We also have an office in New York if offices are your thing. Salary and Benefits The annual base salary for this role is between $85,000 - $95,000 based on experience, with the opportunity for a performance-based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work-from-home flexibility, and subsidized health benefits. #LI-Remote #LI-DN

Responsibilities

Analyze and clean large alternative datasets to build scalable data products and predictive models. Develop intuitive visual presentations of data insights and resolve data quality anomalies.