ANALYST ENGINEER - Stockholm

Veritaz is a fast-growing IT-consultant firm. Our company is made up of insanely bright people from over 4 countries, and we are located in Sweden, UK, US and Pakistan. The voyage has been incredible this far, but it is only the beginning.
Assignment Description:
We are looking for an Analyst Engineer who is experienced in data-driven algorithms, processes, and solutions for Service Improvements Automation.
Do you value openness, transparency, and empowerment? Our squad is high performing cross-functional team who are set with a mission to provide win-win exchanges for our customers.
What you'll do:
● Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
● Define metrics, build dashboards, create reports, and key datasets to empower data-driven service development & improvements in collaboration with the rest of the team.
● Be a part of the team that develop the processes and system needs of the central developed product catalogue supporting a local environment.
● Commitment to growth and personal development in the analytics space evidenced by interests in conferences, community etc.
● Set and drive agenda, roles, and expectations per project to ensure all responsibilities are being met; escalate issues as appropriate.
Who you are:
● Ability to analyze existing tools and databases and provide software solution recommendations.
● Good knowledge and proven experience in Exploratory Analysis, DB modelling, SQL, QA capabilities in data e.g. cleaning, transforming and debugging data for analysis as well as performance optimization of data warehouses.
● Experience with GCP/Big Query or other Cloud platforms, media or equivalent where large amounts of data are handled, Python, and Jupyter.
● Ability building Data Pipelines and orchestration, work agile in a cross-functional team, Machine Learning and Data Science.
● Excellent communication, teamwork skills, inter-personal and Organizational skills.
● Experience with data engineering tools, knowledge of Continuous Delivery and DevOps.