Company Description Cretik is a digital innovation company specializing in software and mobile app development, UI/UX design, website development, and e-commerce solutions. The team crafts tailored products that exceed industry standards and help clients gain a strong competitive edge. Cretik focuses on intuitive, visually compelling interfaces and high-performance, responsive websites that engage users and support business growth. Its e-commerce platforms are designed to drive sales and expand market reach, enabling clients to succeed in the online marketplace. By combining creativity with technical expertise, Cretik helps brands lead in the digital world. Role Description The Senior Data Analyst is a full-time, remote role responsible for transforming complex data into clear insights that support strategic and operational decisions. In this position, the analyst will collect, clean, and validate data from multiple sources, build and maintain dashboards, and perform exploratory and advanced data analysis. The role includes developing data models, applying statistical methods, and generating reports that inform product, marketing, and business performance. The Senior Data Analyst will collaborate with cross-functional teams to define key metrics, communicate findings in a clear and actionable way, and recommend data-driven improvements. This role also involves mentoring junior analysts, helping evolve analytics best practices, and supporting the implementation of new data tools and processes. Qualifications Strong analytical skills and experience in data analytics to interpret complex datasets and derive actionable insights. Proficiency in statistics, including hypothesis testing, regression, and descriptive analytics to support evidence-based decision-making. Hands-on experience with data modeling, including designing and maintaining data structures and pipelines for reporting and analysis. Excellent communication skills to present findings to technical and non-technical stakeholders and translate data insights into clear recommendations. Advanced skills in SQL and at least one analytics or scripting language (e.g., Python, R) and familiarity with BI tools (e.g., Power BI, Tableau, Looker). Experience working with large or complex datasets, including data from digital products, web analytics, or e-commerce platforms. Proven ability to work independently in a remote environment, manage multiple priorities, and meet deadlines in a fast-paced setting. Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or related discipline. Background in technology, software, or digital product companies is a plus, along with experience supporting product and UX teams with data.