Data Analyst

Brisqq

Novi Sad

06.10.2019.

SQL JavaScript XML SaaS intermediate

Brisqq is revolutionising last mile delivery through its technology platform, delivering a unique end-to-end logistics solution for businesses globally. Brisqq has the most unique and disruptive technology in the last-mile, developed using its learnings by operating a same-day crowdsourced delivery service in London. Brisqq’s SaaS solutions also enable businesses globally with a fleet of vehicles, to have a completely digital last-mile delivery offering, providing ultimate efficiency and automation for internal operations, as well as a world-class customer experience.

We are looking for a:

Data Analyst

Novi Sad

Role:

Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities

Requirements:

Proven working experience as a data analyst or business data analyst
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages, databases (SQL etc), programming (XML, JavaScript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analysing datasets
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
BS in Mathematics, Economics, Computer Science, Information Management or Statistics