Data Analytics Consultant

Description

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.

Responsibilities:
Partner with clients as a technical advisor, helping them evaluate options and make informed decisions on analytics and data platform solutions.
Architect and deliver data environments across public and private cloud ecosystems, ensuring solutions are scalable, secure, and aligned with business goals.
Lead discussions on data governance, quality standards, architecture direction, and long-term analytics strategy for client organizations.
Facilitate discovery meetings, workshops, and executive presentations to gather requirements and translate business needs into practical technical plans.
Explain emerging data technologies and analytics capabilities in a way that highlights measurable value for both business and technical audiences.
Establish effective approaches for collecting, storing, transforming, and analyzing data to support reporting, operational insight, and decision-making.
Create implementation roadmaps and phased delivery plans for analytics initiatives, including assessments of current-state environments and future-state architecture.
Review existing data solutions, identify improvement opportunities, and produce clear documentation that supports design decisions and project execution.
Collaborate with stakeholders ranging from senior executives to engineering teams while contributing across multiple phases of the project lifecycle, including pre-sales support.
Apply analytics expertise to use cases involving risk monitoring, fraud-related analysis, and investigative data interpretation where business needs require it.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
At least 5 years of experience delivering Microsoft-based reporting, analytics, visualization, and data integration solutions.
Minimum of 5 years of hands-on experience designing and building data platforms, data pipelines, and analytics solutions.
Deep expertise with Microsoft Fabric workloads, including Power BI reporting, Data Factory, Data Engineering, Data Science, Data Warehouse, Database, and Real-Time Intelligence.
Strong knowledge of relational and NoSQL data platforms, modern data lake and lakehouse concepts, and enterprise data architecture patterns.
Demonstrated ability to communicate effectively with executive leadership, business stakeholders, and technical teams in a client-facing environment.
Proficiency with Python and generative AI tools for development, along with experience implementing security features such as row-level security.
Active Microsoft Fabric certification required; experience with technologies such as Databricks, Snowflake, Azure Synapse Analytics, Azure Data Factory, stream analytics, and dimensional modeling approaches is a plus.

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