Data Analyst

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.

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What is this about?

Synteda AB specializes in helping companies effectively embrace the era of artificial intelligence and computer vision. By delivering innovative solutions, we empower businesses to take full advantage of the vast possibilities presented by these cutting-edge technologies. We firmly believe in the potential of AI and computer vision to benefit society, and we're committed to leveraging our expertise to facilitate businesses in their journey towards this exciting new era. Our close collaboration with top universities in Sweden enables us to work with clients across a broad range of industry fields.

We're actively engaged in developing several unique products and solutions, using a work process that we call "dream-innovate-create." This approach involves subjecting our ideas to rigorous scrutiny and feasibility testing, using agile methodologies to refine our solutions until we've achieved a full-scale product.

We're proud to have a core team of highly qualified experts who excel at providing assessment services to identify business challenges and develop customized algorithms to overcome them. We're guided by our commitment to ethical awareness, curiosity, transparency, respect, participation and science.

As we continue to grow, we're actively seeking new talents to join our team of experts. If you're passionate about advanced technologies and want to be part of an exciting and dynamic organization, we encourage you to apply today.

What are we looking for?

We are seeking a talented Data Analyst to join our team of experts, working on various platforms and customer assignments. The successful candidate will leverage the latest tools and techniques to analyze opportunities, issues, and areas of improvement while ensuring data collection quality and process efficiency. This role is ideal for someone who enjoys exploring data, building tools, and utilizing statistical techniques to drive business strategy and facilitate informed decision-making.

• Collect and analyze data from various sources and platforms to identify opportunities, issues, and areas for improvement.
• Utilize specialized analytic tools and techniques for data collection and analysis.
• Perform in-depth analyses of custom datasets to uncover insights and trends.
• Develop and improve models using statistical techniques such as regression analysis.
• Support and enhance data-driven processes to facilitate the successful implementation of procedures.
• Create reports and presentations to inform and direct business strategy.
• Visualize, analyze, and report data anomalies to ensure data quality.
• Collaborate with cross-functional teams to brainstorm, plan, and prioritize different functions.
• Communicate efficiently with project stakeholders on current and upcoming status.

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Proficiency in statistical modeling, data mining, Python/R, and ETL processes.
• Strong knowledge of SQL and experience working with relational and non-relational databases.
• Knowledge of cloud platforms (Google Cloud, AWS, Azure) for model deployment and management.
• Experience with data visualization tools (Power BI, Tableau, QlikView, Microsoft Access, SPSS Modeler, SAS Analytics, etc.).
• Familiarity with visual analysis tools (Google Analytics, Data Studio) and AI/machine learning models.
• Proficiency in data manipulation and cleaning using tools like Pandas, Dplyr, or similar libraries.
• Excellent written and verbal communication skills, with the ability to present complex findings to non-technical stakeholders.
• Agile development methodology experience.
• Familiarity with statistical techniques, including regression, hypothesis testing, and clustering.
• Strong analytical skills, attention to detail, and the ability to work independently and as part of a team.
• Fluency in English, both spoken and written, is required.
• Proficiency in Swedish is a plus.

Preferred Qualifications:
• Experience with big data processing tools like Spark, Hadoop, or Dask.
• Knowledge of machine learning techniques and their applications in data analysis.

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