Data Analytics and Engineering Specialist

Job not on LinkedIn

November 5

Apply Now

Receive Emails with Similar Jobs

Pomeroy

WebsiteLinkedInAll Job Openings

B2B • Enterprise • Cybersecurity

Pomeroy is a technology solutions and IT services provider that helps organizations design, implement, secure, and manage their infrastructure and digital workspaces. It offers advisory and consulting, AI and data intelligence, cloud and infrastructure, cybersecurity and risk management, managed and professional services, modern lifecycle device solutions, and strategic technical staffing. Pomeroy serves enterprise clients across retail, financial services, healthcare, manufacturing and government, focusing on keeping workforces connected, secure, and productive.

1001 - 5000 employees

Founded 1982

🤝 B2B

🏢 Enterprise

🔒 Cybersecurity

📋 Description

• Design, develop, and maintain reliable data pipelines and ETL workflows across enterprise systems (ERP, CRM, HCM, ServiceNow, etc.) • Integrate and transform data within our enterprise data lake and warehouse (e.g., Snowflake, AWS, SQL Server) for use in analytics and reporting. • Build and maintain dashboards and self-service reports using Power BI, Tableau, or Quicksight. • Support analytics use cases that improve service performance, resource utilization, and operational KPIs. • Automate recurring reporting and support ad hoc data analysis requests • Support integration of AI/ML tools and analytics automation as part of ongoing modernization • Collaborate with business leaders and analysts to define metrics, KPIs, and success measures that align with enterprise objectives. • Provide actionable insights to drive continuous service improvement, cost optimization, and risk reduction. • Partner with process owners to identify recurring issues and use data to improve root cause analysis and prevention. • Translate business requirements into scalable, repeatable data solutions that support operational excellence. • Ensure accuracy, consistency, and security of enterprise data through validation, monitoring, and documentation. • Support enterprise data governance initiatives and contribute to data cataloging and metadata management. • Identify opportunities to automate manual reporting, streamline data flows, and enhance visibility across systems.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field • 4–7 years of combined experience in data engineering and analytics • 3+ years of experience design and tuning a MSP environment • Strong SQL development skills; experience with Python or another scripting language preferred • Hands-on experience with ETL/ELT tools and cloud data platforms (Snowflake, AWS, Azure) • Proficient in BI tools such as Quicksight, Tableau, or Looker • Strong understanding of data modeling, performance optimization, and visualization best practices • Excellent problem-solving, communication, and collaboration skills across technical and business team • Exceptional verbal and written communication skills. • Advanced or expert knowledge and understanding of multiple IT areas or architecture and core business functions. • Ability to multi-task and be flexible with assigned work schedule. • Highly organized with excellent follow-through and follow-up skills. • Ability to work in a team environment, presenting a professional image and commanding the respect of staff and peers. • Requires strong initiative, detail orientation, ability to interpret problems and decisive decision-making skills. • Position requires the ability to work various hours through the week. • Self-motivated to understand and analyze business processes and recommends improvements. • Exercises appropriate judgment and discretion in the prioritization of tasks/workload, escalation of issues/incidents and interacts with clients and vendors. • Interacts and communicates in a way that promotes respects, collaborations, and overall high performance of the team and the organization.

🏖️ Benefits

• competitive salary • flexible working hours • professional development budget • home office setup allowance • global team events