Data Analyst (#14748490)

SPECIAL REFERRAL BONUS $1500
Work type:
Flexible (Office/Remote)
Technical Level:
Middle
Job Category:
Big Data
Project:
Moove

N-iX is looking for an experienced Data Analyst to join the global team behind a mobility company that aims to democratize vehicle ownership and financing on the entire continent.

About the role:
You will join a team of 5 Data professionals and Build a Data Lake platform from scratch using cutting-edge technologies. You will also be involved in developing new data pipelines, ingesting, and data orchestration.
The Data Team is a brand-new function that’s been created with data at the heart and minds of growing the business to be a data-led company. We want to hear from experienced and creative data analysts who want to use their skills to improve people’s lives and help us democratize mobility thru fintech.

Responsibilities:

  • Interpret data, analyze results using statistical techniques and provide ongoing reports (Exploratory data analysis)
  • Identify patterns and trends in data sets
  • Work with management to prioritize business and data needs
  • Handle ad-hoc requests for data discovery, exploration and insights for business and product improvements
  • Define data layers for events or properties that needs to be tracked
  • Conduct impact analysis and gap analysis as per product and business needs
  • Collaborate with DE for insight automation when dealing with recurring data request or information
  • Create data visualizations to effectively convey findings
  • Gatekeeper for data quality

Requirements:

  • Ability to write complex SQL, doing cohort analysis, comparative analysis
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate
  • significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • BS or MS in Mathematics, Economics, Computer Science, Information Management or Statistics
  • English level – upper-intermediate or higher

 

Nice to have:

  • Experience working directly with business users to build reports, dashboards and solving business questions with data
  • Experience doing analysis using Python, R and Spark 
  • Experience with Tableau, QuickSight 
  • Experience with advanced analytics (e.g., machine learning, predictive analytics)
  • Experience with statistical design and analysis
  • Experience with data integration, data manipulation, and ETL
  • Experience with version control (e.g., Git)
  • Experience with survey design
  • Understanding of digital accessibility
  • Understanding of data governance

We offer:

  • ​Flexible working hours
  • ​A competitive salary and good compensation package
  • ​Best hardware
  • ​A masseur and a corporate doctor
  • ​Healthcare & sport benefits
  • ​An inspiring and comfy office

Professional growth:

  • Challenging tasks and innovative projects
  • ​Meetups and events for professional development
  • ​An individual development plan
  • ​Mentorship program

Fun:

  • ​Corporate events and outstanding parties
  • ​Exciting team buildings
  • ​Memorable anniversary presents
  • ​A fun zone where you can play video games, foosball, ping pong, and more