Analytics Engineer

Description

We are looking for an Analytics Engineer to join a growing team in The Pittsburgh Metro Area

Responsibilities:

Build and support robust data pipelines and transformation workflows in a cloud-based ecosystem to prepare information for analytics and reporting.

Combine data from internal platforms, external applications, and operational systems into unified datasets that enable consistent business insights.

Create and maintain dimensional structures, including fact and dimension tables, to strengthen enterprise reporting and analytical performance.

Write, refine, and troubleshoot advanced queries to improve data quality, processing efficiency, and overall reliability.

Develop and enhance dashboards, reports, and other business intelligence tools used for operational, financial, sales, and leadership decision-making.

Establish semantic models, standardized metrics, and reusable reporting components that promote consistency across analytics deliverables.

Configure KPI logic, trend reporting, forecasting measures, and other advanced calculations within reporting platforms.

Apply data access rules and role-based permissions to protect sensitive information across analytics and reporting environments.

Work closely with business partners to define reporting needs, translate requirements into technical solutions, and communicate findings clearly to varied audiences.

Implement automated validation checks, investigate reporting issues, and document data rules, models, and technical processes for long-term maintainability.

Requirements

At least 3 years of experience working with enterprise data warehouses or large-scale analytical data environments.
Strong hands-on ability in advanced query development, data transformation, optimization, and performance tuning.
Experience designing and supporting dashboards, reports, and analytical solutions for business users.
Solid understanding of data warehousing principles, dimensional modeling, and scalable data architecture.
Demonstrated ability to create KPIs, calculated measures, and business-focused analytical outputs.
Knowledge of data governance, security practices, and access control management within reporting environments.
Experience with tools and technologies such as Python, Apache Spark, Apache Hadoop, Apache Kafka, and ETL processes.
Bachelor's degree in Computer Science, Information Systems, Analytics, Mathematics, Finance, or a related field, or equivalent practical experience.

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