Analytics Engineer

<h3>📋 Description</h3> •As an Analytics Engineer and data modeler within the Business Intelligence team at TechnologyAdvice, you will transform source data into standardized reporting assets to improve business performance and help connect technology buyers and sellers. •You will architect source-of-truth data schemas to support business intelligence and enable data-led opportunities. •You will create and maintain semantic layers within reporting workflows, driving accuracy and consistency in how business logic is applied. •You will work with business intelligence and data science to ensure adoption of standardized reporting tables. •You will build production data products that serve as building blocks for predictive models and customer-facing experiences. •You will address data quality issues to improve accuracy and increase transparency around upstream failures. •You will develop governed production workflows to ensure stability and oversight in reporting processes. •You will engineer logical, usable data models to support reporting self-service and adapt to continuously evolving data sources. •Success in this role requires the ability to partner effectively with internal stakeholders and develop a deep understanding of the data used to measure and optimize business performance. •A positive attitude, attention to detail, and the ability to adapt to changing priorities are essential. •If you’re looking for a role where your contributions make a difference and your ideas are welcomed, we want to hear from you. <h3>🎯 Requirements</h3> •Bachelor's or Master's degree in a relevant field such as Computer Science, Information Systems, Data Science or a related discipline. •4-6 years of experience in data engineering, analytics engineering, data modeling, data architecture or data science, preferably in a digital business. •Understanding of best practices for designing modular and reusable data structures (e.g. star and snowflake schemas) and implementing conceptual and logical data models •Advanced SQL techniques for data transformation, querying, and optimization. •Experience working within cloud-based data environments such as Snowflake, Redshift, or BigQuery and managing database procedures and functions. •Knowledge of data transformation frameworks and data lineage best practices. •Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Dagster, Airflow, or similar. •Familiarity with version control, CI/CD, and modern development workflows. •Experience applying AI to improve work quality and the efficiency of the data model development process. •Ability to collaborate cross-functionally with data analysts, engineers, and business stakeholders to understand data needs and translate them into scalable models •Knowledge of data governance principles, data quality standards, and regulatory compliance (e.g., GDPR, CCPA) is a plus. •Expertise in scripting and automation with experience in object-oriented programming and building scalable frameworks is a plus. •Experience building production dashboards using tools such as Tableau, Power BI, or Looker is a plus. •Strong attention to detail and a passion for staying updated with industry trends and emerging data management and data transformation technologies. •Agile professional who excels in a fast-paced environment and thrives on continuously pivoting strategies to drive business needs forward. <h3>🏖️ Benefits</h3> *Please note that, as this is a contract position, no perks or benefits are included with this role.