Data Engineer

📋 Description

• Convert data into actionable insights that drive revenue growth, enhance operational efficiency, and facilitate strategic planning.

• Recognize and assist in the creation of scalable data tools that enhance the transformation, management, and accessibility of data—minimizing the time required to gain insights.

• Develop predictive and forecasting models aimed at fostering revenue growth, improving marketing effectiveness, and enhancing customer experiences.

• Oversee analytics and modeling projects that turn organizational data into concise, data-driven recommendations.

• Create and manage interactive dashboards and reports that align with key performance indicators (KPIs).

• Utilize modern tools and methodologies to analyze, visualize, and effectively communicate data trends.

• Collaborate with business teams to facilitate operational enhancements and growth initiatives, establishing measurable outcomes.

• Draft both executive-level summaries and comprehensive analytical reports, featuring clear insights and visual storytelling.

• Share findings and recommendations with senior leadership, including various options and trade-offs.

• Work closely with Finance and executive stakeholders to assist in regular business reviews and planning cycles.

• Participate in additional analytics initiatives as business requirements evolve.

⛳️ Requirements

• 4–5 years of experience utilizing SQL for data extraction and transformation, along with Python for advanced analytics, automation, or modeling.

• Practical experience with forecasting and predictive modeling to aid strategic decision-making.

• Familiarity with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.

• Strong grasp of data modeling principles, including star and snowflake schemas, as well as normalized vs. denormalized designs.

• Advanced expertise with BI and visualization tools such as Power BI or Tableau, including best practices for effective data storytelling.

• Demonstrated capability to manage analytics projects from inception to completion—from business requirements to analysis, insights, and executive recommendations.

• Experience in delivering measurable business results through analytics, reporting, revenue operations, or related roles.

• Exceptional communication skills, with the ability to distill complex analyses into clear, actionable insights for senior stakeholders.

🏝️ Benefits

• The chance to collaborate closely with senior leadership and shape strategic decisions.

• Involvement in high-impact, cross-functional analytics initiatives.

• A dynamic, collaborative environment that fosters curiosity, ownership, and continuous learning.

• Opportunities to enhance your technical, business, and leadership capabilities.

• Competitive salary and benefits package (details provided during the interview process).

• Flexibility to promote work-life balance, in accordance with company policy.