Informacje o stanowisku
We are looking for a motivated and self-driven person to join our fast-growing Web and Mobile Solutions business unit, which is made up of almost 400 professionals specializing in various technologies. Projects and Customers are quite versatile as well: we have long-term partnerships with enterprises, as well as a strong focus on working with startups. Our active and energetic team loves the fast-paced, adventure-filled environment of a startup.
As a Middle/Senior Data Analyst, you will be part of our Big Data Center of Excellence . This means that as well as working on projects, you will have an opportunity to be involved in other different activities related to data direction like pre-sale activities, technical excellence contribution, and other CoE-related activities.
Requirements:
- 3+ years of experience in data-related fields
- Proven ability to ensure data reporting is high-quality, accurate, and consistent
- Data stewardship, ensuring reporting is high-quality, accurate, and consistent
- Work with cross-functional teams as required
- Strong knowledge of Python
- Proficiency in Visual Analytics tools like Power BI and Tableau
- Strong experience in effective communication with clients and business stakeholders
- Ability to deliver impactful presentations and convey key points from data analysis
- Good knowledge of machine-learning instruments and algorithms (strong in exploratory data analysis and feature engineering)
- Experience in implementing and delivering data science/data analytics solutions with measurable business impact
- At least an Upper-Intermediate level of English
Responsibilities:
- Collect, organize, analyze, and maintain accurate high-quality data from various sources
- Analyze data to identify trends, patterns, and insights, and troubleshoot any data-related issues
- Develop comprehensive reports and dashboards, effectively communicating findings and insights to stakeholders
- Design and implement data analytics solutions for specific business domains, utilizing data science tools and techniques
- Support process improvement initiatives by providing data-driven insights and collaborating with cross-functional teams
- Work closely with clients and business stakeholders to understand their needs, enable key stakeholders to make informed decisions, ensure high-quality data reporting, and deliver impactful presentations
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