Senior Data Analyst in INFUSE

OUR HIRING PROCESS:We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. After all, we consider our team members our family, and we want you to feel comfortable and welcomed.We are seeking a highly skilled and motivated Senior Data Analyst to join our dynamic team. The ideal candidate will have a strong background in data analysis, data visualization, and data modeling, with a keen ability to translate data insights into actionable business strategies.Responsibilities will include, but are not limited to:Data Collection and Preparation:Identify and gather data from diverse sources (databases, files, APIs).Ensure data quality and integrity through cleaning, processing, and validation.Data Analysis:Apply statistical methods and tools to analyze complex datasets.Discover trends, patterns, and correlations within data.Develop predictive models for forecasting and optimization.Data Visualization:Create clear and compelling data visualizations (graphs, charts, dashboards).Effectively communicate insights to both technical and non-technical audiences.Decision Support:Provide actionable insights and recommendations based on data analysis.Collaborate with stakeholders to drive data-driven decision-making.Data Modeling and Process Improvement:Build data models to support business operations.Identify opportunities to enhance data quality, integrity, and efficiency.Develop and refine data flow diagrams, process flows, and data requirements.Analyze current processes to identify errors and improvement areas.Proactively recommend system enhancements to improve data accuracy and accessibility.Qualifications:Bachelor's degree in Statistics, Computer Science, Mathematics, or a related field preferred.Minimum of 4 years of proven experience as a Data Analyst or Business Data Analyst.Strong proficiency in data manipulation and analysis tools (e.g., SQL, Python, R).Strong proficiency in SQL and experience working with relational databases.Expertise in statistical methods and data modeling techniques.Excellent data visualization skills (e.g., Tableau, Power BI).Ability to communicate complex findings clearly and concisely.Strong problem-solving and analytical skills.Attention to detail and accuracy. We offer:Competitive compensation, which will take into account the experience and skills of the candidate. Form of payment - monthly, based on Invoice - Bank transfer/PayoneerRemote, Work schedule: 5/2 (8-hour working day) from 13:00 to 22:00 EEST (incl. 60-min breaks, Flexible schedule is possible)Interesting and long-term projectWe support work-life balance and offer paid annual leave and paid sick daysShorter Fridays (6 working hours) in Summertime.Opportunities for professional development and career growthOur recruitment process:Interview with HRTest tasksTechnical interview with Team Final interview with the Technical director Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки Інформаційні технології Галузі Технологія, інформація та інтернет