Data Analyst

Synteda AB assist companies to embrace the era of artificial intelligence and Computer Vision effectively and take advantage of its vast possibilities by delivering innovative solutions. We understand how Computer Vision and AI can benefit the society. We stand ready to use our expertise to facilitate businesses in their journey into the era of AI. We work with several clients with various industry fields in close collaboration with top universities in Sweden.
Synteda is actively working on several unique products and solutions in various fields. Dream-innovate-create is our work process were our ideas go through different stages. We create successful solutions by checking feasibility of our product idea (POC) and develop our solution working with agile methodologies until we reach a complete full-scale product.
Synteda has a core team of highly qualified experts that provide assessment to identify challenges and explore different ideas to enhance effectiveness and develop specific algorithms to overcome company challenges. Synteda is built on ethical awareness, curiosity, transparency, respect, participation and last but not least science.
Synteda is growing rapidly and we are looking for a talented data analyst to join our team of experts. You are an analytical thinker and detail-oriented who enjoy data mining and continuously want to find a better solution.
Responsibilities
Work on our various platforms and customer assignments.
Data collection process using specialized analytic tools to analyze opportunities, issues and areas of improvement.
Perform analyses of custom datasets.
Generate ideas and build tools to improve data collection quality and processes.
Utilize statistical techniques such as regression analysis to develop and improve models.
Support and enhance data to facilitate successful implementation of procedures.
Create reports and presentations to direct business strategy.
Visualize, analyze and report data anomalies.
Brainstorm, plan and prioritize different functions.



Skills
Experience in statistical modeling and data mining techniques.
Understandable knowledge in Python and/or R.
Understandable knowledge within ETL.
Excellent database skills with previous experienced extracting, manipulating and querying large datasets.
Good knowledge of cloud such as Google Cloud, AWS and Azure for deployment and management of developed models.
Experience with data visualization tools such as Power BI, Tableau, Microsoft Access, SPSS modeler, SAS analytics or similar.
Experience working with visual analysis like Google Analytics, Data Studio.
Knowledge of AI and machine learning models.
Previous experience building machine learning models and data visualization.
Strong analytical and problem-solving abilities.
Experience of agile development methodologies.
Good communication and presentation skills.
Languages: Swedish and English.