Analytics Engineer

**About SDG Group**

SDG Group is a global consulting firm specialized in Data & Analytics. We are committed to unlocking organizations’ potential by offering in-depth analytics expertise that empowers our clients to become successful data-driven enterprises. Innovation is in our DNA; we constantly innovate our value proposition with cutting-edge laboratories and transformational models to provide the ultimate analytics practices and solutions.

**Position Overview**

We are seeking an experienced data and analytics professional to join our **Global Commercial Analytics team**. In this role, you will develop and automate data transformation pipelines, integrating data sources from across the business to drive customer understanding and operational efficiency. As a key member of the analytics team, you will influence the tech stack and frameworks we develop while collaborating with departments like Marketing, Sales, Digital, Supply Chain, and eCommerce.

**Key Responsibilities**
- **Develop Data Pipelines**: Use **SQL** and **Python** to write production-quality code that meets the data transformation needs of analysts, data scientists, and other business partners.
- **Design Data Models**: Translate business requirements into well-documented data models and help design transparent **ELT** pipelines that deliver timely and accurate data.
- **Support Analytics Infrastructure**: Support the use of analytics platforms and data science workflows while identifying opportunities to strengthen and scale our data foundation.
- **Cross-Functional Collaboration**: Partner with various business units to understand data needs and identify opportunities to use data to drive business solutions.
- **Technical Communication**: Communicate complex technical concepts to non-technical audiences in a clear and compelling manner.
- **Vendor & IT Partnership**: Evaluate external partners for analytics initiatives and partner with IT to align on data architecture, tools, and other technologies.

**Required Qualifications**
- **Experience**:At least 3 years** of professional experience as a data analyst, data scientist, analytics engineer, or data engineer.
- **Educational Background**: A **Bachelor’s degree** in a quantitative field.
- **Technical Skills**: Demonstrated proficiency in **SQL** and/or **Python** to wrangle and integrate data. Practical experience using data visualization or BI tools like **Domo** or **Tableau**.
- **Data Engineering Knowledge**: A strong understanding of modern data warehouse design principles and data engineering best practices.
- **Business Acumen**: A commercially astute individual with strategic capabilities and the ability to build strong cross-functional relationships.

**Preferred Qualifications**
- A **Master's Degree** in a quantitative field.
- Demonstrated experience with **Git/GitHub, dbt Core/Cloud, and Airflow**.
- Understanding of marketing analytics concepts like marketing mix modeling, churn risk prediction, and customer lifetime value.
- Familiarity with **SAP** systems (ECC, C4C, S4 HANA).

**What We Offer**
- **Stability and Growth**: Full-time employment in a growing global company with a meritocratic culture that provides opportunities for professional growth.
- **Competitive Compensation**: A competitive salary and a **401(k) retirement plan** with an employer match.
- **Comprehensive Benefits**: Robust healthcare and benefits package including **Medical, Dental, Vision, and Disability coverage**.
- **Work-Life Balance**:3+ weeks of paid vacation**, a flexible holiday schedule, and hybrid/remote working arrangements.
- **Supportive Community**: A welcoming, collaborative, and inclusive culture recognized as a **Best Place to Work**, where you can make an impact.