Analytics Engineer for Marketing Company

As an Analytics Engineer, you'll be at the forefront of leveraging data to drive insights and enable data-informed decision-making. If you're passionate about transforming raw data into meaningful information that fuels business growth and customer success, this is the perfect opportunity for you.

Responsibilities:

1. Data Modeling and Architecture: Design, develop, and maintain robust data models and architectures that support our analytics initiatives. You'll play a key role in shaping our data infrastructure to ensure scalability, reliability, and performance.

2. ETL Development: Build efficient and scalable ETL processes to extract, transform, and load data from various sources into our data warehouse. You'll work closely with cross-functional teams to gather requirements and ensure data accuracy and integrity.

3. Data Transformation and Analysis: Utilize your expertise in SQL and data manipulation techniques to transform raw data into actionable insights. You'll collaborate with business stakeholders to understand their analytical needs and deliver comprehensive reports, dashboards, and visualizations.

4. Data Quality and Governance: Implement data quality standards and ensure adherence to data governance practices. You'll work closely with the data team to identify and resolve data quality issues, ensuring data consistency and reliability.

5. Performance Optimization: Continuously improve data processing and analysis efficiency. You'll identify and implement optimizations to enhance query performance, reduce processing time, and increase overall productivity.

6. Collaboration and Communication: Collaborate closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their requirements and translate them into effective data solutions. You'll communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree is a plus.
• Proven experience as an Analytics Engineer or similar role, with expertise in data modeling, ETL development, and data analysis.
• Strong proficiency in SQL and experience with data warehousing concepts and tools (e.g., Redshift, Snowflake, or similar).
• Experience with scripting languages (e.g., Python, R) and data manipulation frameworks (e.g., Pandas) is a plus.
• Familiarity with cloud-based data platforms (e.g., AWS, GCP) and associated services (e.g., S3, BigQuery) is highly desirable.
• Solid understanding of data governance, data quality, and data security practices.
• Strong problem-solving skills and the ability to think critically and analytically.
• Excellent communication and collaboration skills to work effectively in a team-oriented environment.
• Passion for analytics, data-driven decision-making, and keeping up with emerging trends in the field.