AgileEngine is a privately held company established in 2010 and HQed in the Washington DC area. We rank among the fastest-growing US companies on the Inc 5000 list and the top-3 software developers in DC on Clutch. Facebook, Play Store, and the Webby Awards featured the apps we’ve built.
16 ноября 2020

Junior Data Quality Analyst (вакансия неактивна)


Who we are looking for:
1+ years of data quality experience, preferably in technical environment that includes numerous integration points
Intermediate or higher English level, both spoken and written
Strong knowledge of Excel (vlookup, countif, concatenate and other various excel formulas in order to manipulate and organize the data)
Ability to work with a large amount of information
Proficiency with online research
Knowledge and experience working in Agile development methodology
Ability to manage multiple priorities and adapt in a fast-changing environment
Strong attention to details and accuracy
Good interpersonal, analytical and communication skills
Self-motivated, self-disciplined and result-oriented
Passion for the data quality discipline

What will be a plus:
Basic knowledge of SQL
Knowledge of EDI, CSV, JSON, XML file formats

Please note that the position doesn’t imply the tasks with Python or Data Science.

What will you do?
Monitor data integrity and assess the quality of incoming data streams
Reporting on data accuracy and quality, both internal and external customers
Identify and document data quality issues
Track the issue until resolution with development
Check the accuracy of data calculations
Establish and maintain data quality metrics
Primary data validation of new customers’ data
Manual data cleanup and corrections when necessary
Communicate updates and issues to development and delivery
Participate in user acceptance testing

What we offer
Сompetitive compensation and opportunities for professional growth
Friendly team with great corporate culture and mentorship
Flexible work schedule
NO bureaucracy

What about project
TransVoyant is at the forefront of the predictive analytics space. From sensors, satellites, radar, video cameras, smartphones and other devices that make up the Internet of Things (IoT), we collect over one trillion events each day, giving us one of the largest repositories of real-time big data in the world. Our proprietary machine learning algorithms analyze these massive big data streams in real-time to produce live and predictive insights that help companies to achieve competitive advantage and government agencies to save lives.

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