Analytics Engineer

Job Summary

We are seeking an experienced Analytics Engineer to join our growing Data & Analytics team. The Analytics Engineer will bridge the gap between Data Engineering and Business Intelligence by transforming raw data into reliable, scalable, and business-ready datasets. This role is responsible for designing data models, building analytics pipelines, ensuring data quality, and enabling stakeholders to make data-driven decisions through accurate reporting and insights.

The ideal candidate has strong SQL skills, experience with modern data stack technologies, and a passion for creating efficient data solutions that support business growth.

Key Responsibilities

Data Modeling & Transformation

• Design, develop, and maintain scalable data models for analytics and reporting.
• Build and optimize ETL/ELT pipelines to transform raw data into actionable business datasets.
• Create and manage data marts, dimensional models, and semantic layers.
• Ensure consistency, accuracy, and reliability of analytical datasets.

Analytics & Reporting

• Partner with business teams to understand reporting and analytics requirements.
• Develop datasets that support dashboards, KPIs, and business intelligence solutions.
• Enable self-service analytics across departments.
• Support executive reporting and strategic decision-making initiatives.

Data Quality & Governance

• Implement data validation, testing, and monitoring processes.
• Maintain data documentation, metadata, and data lineage.
• Establish best practices for data governance and quality assurance.
• Identify and resolve data discrepancies and integrity issues.

Collaboration & Stakeholder Support

• Work closely with Data Engineers, Data Scientists, Product Managers, and Business Analysts.
• Translate business requirements into scalable data solutions.
• Provide technical guidance on analytics architecture and reporting strategies.
• Support data-driven initiatives across multiple business units.

Performance Optimization

• Optimize SQL queries and data models for performance and scalability.
• Improve efficiency of data processing workflows.
• Monitor warehouse performance and recommend enhancements.
• Automate repetitive reporting and analytics processes.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Statistics, Mathematics, or related field.
• 3+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or related roles.
• Advanced SQL skills and experience working with large datasets.
• Experience with cloud data warehouses such as Snowflake, BigQuery, Amazon Redshift, or Azure Synapse.
• Strong understanding of data modeling concepts and analytics frameworks.
• Experience with ETL/ELT processes and data transformation tools.
• Excellent analytical and problem-solving abilities.

Preferred Qualifications

• Experience with dbt (Data Build Tool).
• Knowledge of Python or other programming languages.
• Experience working in Agile environments.
• Familiarity with data governance and data quality frameworks.
• Experience supporting executive-level reporting and KPI development.
• Exposure to machine learning and advanced analytics workflows.

Technical Skills

Data & Analytics

• SQL (Advanced)
• Data Modeling
• ETL/ELT Development
• Data Warehousing
• Data Governance

Tools & Platforms

• dbt
• Snowflake
• Google BigQuery
• Amazon Redshift
• Azure Synapse Analytics
• Apache Airflow
• Fivetran
• Matillion

Business Intelligence

• Tableau
• Power BI
• Looker
• Qlik Sense

Programming

• Python
• Git
• REST APIs

Benefits

• Competitive Salary
• Annual Performance Bonus
• Medical, Dental, and Vision Insurance
• Paid Time Off and Holidays
• Remote/Hybrid Work Options
• Professional Development Programs
• Certification and Training Reimbursement
• Employee Wellness Programs

Equal Opportunity Employer

We are committed to creating a diverse and inclusive workplace. Qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, disability, veteran status, gender identity, sexual orientation, or any other protected characteristic.