Data Analyst

About BIScience

BIScience is an Internet technology company pioneering the world of digital media and audience intelligence with innovative technologies, harnessing user-centric data at scale to bring new insights into the online marketing industry and audience analytics. Our product suite helps online marketers, media buyers, brand managers, sales managers, and business analysts benchmark marketing and advertising effectiveness, perform digital behavioral journey analysis, get an outlook on competitive intelligence, purchase intent, brand engagement, eCommerce activities, and analyze targeted and behavior-based online information.

BIScience is a fast-growing global company with customers spanning from more than 60 markets including fortune 500 companies.

About the Position

We are seeking for Data Analyst for our Data and Analytics team .

You will get an exciting opportunity to work with huge amounts of data from multiple sources, and develop reports and tools to detect data anomalies.

As a market leading data provider, our data analyst will learn, develop, and progress within the big data world and global enterprise customers.

Responsibilities

1. Analyze and monitor our data to detect outliers using SQL and PowerBI
2. Design data analytical tools and scripts for outliers’ detection using SQL and Python
3. Implement complex SQL scripts and Python scripts
4. Work with Big Data Databases, such as Exasol, Snowflake and more
5. Implement dashboards using visualization tools, such as Tableau and PowerBI
6. Acquire a deep understanding of the internal data flow and system

Requirements

1. Bachelor’s degree in engineering, Computer Science, Statistics, Data Science or a related field
2. 2+ years’ experience as data analyst in a big data environment
3. 2+ years’ experience with SQL with large data sets
4. Experience with implementing Tableau/PowerBI dashboards (or equivalent)
5. Excellent analytical skills.
6. Fluent in English speaking and writing
7. Good interpersonal communication skills.
8. Quick grasping of new data and data systems.