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27 results for Pricing Analyst in Bethlehem, PA
- Wyomissing, PA
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- We are looking for a Data Analytics Consultant to lead the design and delivery of modern data engineering and business intelligence solutions for client engagements in Pennsylvania. This Long-term Contract position is ideal for a client-facing consultant who can combine technical architecture expertise with strong communication and consulting skills to guide data strategy, platform design, and analytics adoption. The role will partner with stakeholders across business and technical teams to create scalable data environments, translate complex requirements into practical solutions, and support the continued advancement of enterprise analytics capabilities.<br><br>Responsibilities:<br>• Act as a trusted advisor to clients by evaluating technical options and recommending data and analytics solutions aligned with business goals.<br>• Architect, build, and launch scalable data platforms across cloud and on-premises environments using modern engineering and business intelligence technologies.<br>• Lead discovery meetings, stakeholder workshops, and solution presentations to uncover needs and define effective analytics strategies.<br>• Establish frameworks for data ingestion, transformation, storage, governance, and reporting to support reliable decision-making.<br>• Develop implementation roadmaps and delivery plans for data initiatives, ensuring technical solutions support long-term business priorities.<br>• Assess current data ecosystems, identify improvement opportunities, and produce clear architectural documentation and technical recommendations.<br>• Engage with audiences ranging from executive leadership to delivery teams to explain solution choices, tradeoffs, and expected business impact.<br>• Contribute across multiple phases of delivery, including consulting, architecture, hands-on development, and pre-sales support when needed.<br>• Provide deep technical expertise in analytics, data integration, visualization, and modern lakehouse or warehouse design, including security considerations such as row-level access.<br>• Use tools such as Microsoft Fabric, Azure, Python, Spark, Hadoop, Kafka, SQL, and ETL frameworks to build high-quality analytics and data processing solutions.
- 2026-05-19T00:00:00Z
- Wyomissing, PA
- remote
- Permanent / Full Time
- 120000 - 160000 USD / Yearly
- We are looking for a Data Analytics Consultant to help organizations shape and deliver modern data solutions that turn complex information into actionable business insight. This role partners with stakeholders across technical and executive teams to define data strategies, recommend scalable platforms, and guide implementation across cloud-based environments. Based in Wyomissing, Pennsylvania, the position combines advisory expertise with hands-on architecture and analytics leadership to support impactful client outcomes.<br><br>Responsibilities:<br>• Partner with clients as a technical advisor, helping them evaluate options and make informed decisions on analytics and data platform solutions.<br>• Architect and deliver data environments across public and private cloud ecosystems, ensuring solutions are scalable, secure, and aligned with business goals.<br>• Lead discussions on data governance, quality standards, architecture direction, and long-term analytics strategy for client organizations.<br>• Facilitate discovery meetings, workshops, and executive presentations to gather requirements and translate business needs into practical technical plans.<br>• Explain emerging data technologies and analytics capabilities in a way that highlights measurable value for both business and technical audiences.<br>• Establish effective approaches for collecting, storing, transforming, and analyzing data to support reporting, operational insight, and decision-making.<br>• Create implementation roadmaps and phased delivery plans for analytics initiatives, including assessments of current-state environments and future-state architecture.<br>• Review existing data solutions, identify improvement opportunities, and produce clear documentation that supports design decisions and project execution.<br>• Collaborate with stakeholders ranging from senior executives to engineering teams while contributing across multiple phases of the project lifecycle, including pre-sales support.<br>• Apply analytics expertise to use cases involving risk monitoring, fraud-related analysis, and investigative data interpretation where business needs require it.
- 2026-05-15T00:00:00Z