Analytics Engineer

About the Role We are seeking a highly skilled and motivated Analytics Engineer with a strong focus on data modeling and expertise in emerging technology. As an Analytics Engineer, you will play a critical role in transforming, consolidating, and interpreting complex data sets to support strategic decision-making and optimize business processes. Your expertise in data modeling and understanding of cutting-edge technologies will be instrumental in driving innovation and ensuring our organization stays at the forefront of technological advancements. What You Will Do Collaborate with cross-functional teams to transform, consolidate, and interpret large datasets from various sources. Elicit, refine, and manage data requirements collaboratively with business partners. Develop, maintain, and optimize data models and databases to improve data accuracy, accessibility, performance, and reliability. Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate hypotheses for testing. Design and implement data visualization techniques to present complex data insights in a user-friendly and intuitive manner. Collaborate with data engineers and analysts to implement data processing pipelines and ensure data consistency, integrity, and security. Stay up to date with the latest advances in data technologies and evaluate their potential application in solving business challenges. Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization. Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need Bachelor's degree in computer science, data, statistics, mathematics, or a related field. Master's degree preferred. Proven experience as a Data Analyst, Data Scientist, or in a similar role with a focus on data modeling and analysis. Strong expertise in data modeling techniques such as entity-relationship diagramming, dimensional modeling, and data normalization. Expert level skills in SQL and creating complex join, building reproducible code with macros, CI/CD. Strong familiarity with data modelling tools (e.g. dbt) Demonstrated experience and familiarity with emerging technologies, including IoT and AI. Strong familiarity with version control (e.g. GitHub, GitLab, etc.) Proficient in data visualization tools such as Sigma, Tableau, or Power BI. Experience with programming languages such as Python, R, and/or Julia. Strong analytical and problem-solving skills with the ability to transform complex data into actionable insights. Excellent communication skills with the ability to translate technical findings into business-oriented recommendations. Proven ability to work in a fast-paced, collaborative environment and handle multiple projects with competing deadline