Data Analyst

We are looking to hire incredible Data Analysts with 0-4+ years of experience who are interested in working with a US-based start-up. If you are truly passionate about designing dashboards, working with different databases, and can effectively communicate with clients, then this is the position for you. Ready to work hard and play harder? Let’s work together.

[Note: As part of the application process, candidates must complete the pre-screening behavioral assessment form.]

Requirements

Bachelors or Masters in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Masters candidates encouraged to apply)

Data Engineering experience/coursework and ability to integrate multiple data sources

Has in-depth working knowledge of SQL, relational databases, and a solid foundation in MS-Excel

Experience using data visualization tools such as Power BI, Tableau, etc.

Preferably has some proficiency in Python - Data Science stack

Preferably has some experience using ML libraries, such as Scikit-learn, caret, NLTK, or Spark MLlib

Preferably can build basic statistical and ML models to evaluate historical performance and define predictive and prescriptive solutions

Comfortable with UNIX Operating System

Strong analytical, design, problem-solving, and troubleshooting/debugging skills

Ability to effectively communicate insights to customers

What You’ll Do, But Not Limited To:

Under the general direction of senior Data scientists, conduct empirical research using public and proprietary data

Data gathering, data cleaning, building data models, and maintaining datasets

Complete data preparation, data testing using Python (ETL), data wrangling and EDA

Develop dashboards, charts, and visual aids to support decision making

Utilize statistical techniques to help develop analytical insights, sound hypotheses, and informed recommendations

Conduct ad hoc quantitative analyses, modeling, or programming using Python and SQL

Work at client site and develop long term relationships

Who You Are:

Highly Quantitative - your skills are the envy of all your friends

Reliable, Independent, and able to wear multiple hats

Honest - we hold transparency with high regard

Team Player - likes collaborating and working as a team

Communicative - Strong verbal and written communication skills

Self-Starter - able to take ownership of projects and identify what needs to be done

Builder - You are passionate about delivering better products/experiences to our customers and have a deep sense of ownership for your work

Experimental - You love trying new things, new tools, techniques and approaches even if you fail sometimes