DataHawk

1 Job

18 Employees

About the Company

DataHawk is an eCommerce Analytics and Optimization software platform, with a focus on Amazon, Walmart, Shopify, and BigCommerce. Our brands, agencies, and resellers clients rely on our platform to automate data collection, access this data on a managed cloud database, and integrate it within their favorite tools such as PowerBI, Looker Studio, and hundreds more, for unlimited customization and unparalleled analytics capabilities. They also leverage our AI-powered apps such as automated detection of anomalies, alerting, and copywriting. On March 15th, 2025, Worldeye Technologies, the parent company of Viral Launch and BidX, acquired DataHawk in a major strategic move to build the most powerful and integrated performance suite for marketplace sellers. These companies now operate under the Seller Suite network of solutions.

Listed Jobs

Company Name: DataHawk
Job Title: Analytics Engineer
Job Description: **Job Title** Senior Analytics Engineer **Role Summary** Bridge between raw eCommerce and marketplace data and actionable insights. Design, build, and maintain scalable analytical models, dashboards, and AI‑driven reporting to support internal teams and external customers, while monitoring performance and cost efficiency. **Expectations** - 5+ years of experience in analytics, data engineering, or related role. - Strong SQL proficiency and data product mindset. - Deep understanding of eCommerce and marketplace data flows. - Ability to optimize query performance and manage warehouse costs. - Proven experience with data transformation tools (e.g., dbt). - Comfortable communicating in professional English. - Familiarity with AI tools and applying them to analytics. **Key Responsibilities** 1. Build and maintain analytical data models, SQL queries, and dashboards using dbt, SQL, and BI tools. 2. Ensure high data quality through governance, validation, and root‑cause investigation. 3. Monitor and optimize query performance, warehouse usage, and storage scalability to control costs. 4. Provide ad‑hoc analyses and support for internal stakeholders and external clients. 5. Develop and sustain AI‑enabled insights on marketplace and advertising data. 6. Occasionally engage with customers for consulting, training, or analytics support. **Required Skills** - Advanced SQL (structured, scalable, performance‑oriented). - Experience with dbt or equivalent data transformation framework. - Data quality governance and validation techniques. - Query optimization and cost‑monitoring in cloud data warehouses. - Knowledge of BigQuery, Snowflake, or similar warehouses. - AI/ML fluency (apply AI to enhance analytics). - Strong data intuition for eCommerce and marketplace ecosystems. - Effective communication in English. - Python or scripting basics (desirable). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Engineering, Statistics, or related field (or equivalent experience). - Certifications in SQL, cloud data warehousing, or data engineering are considered advantageous.