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Weidenhammer

Forge IT with Hammer.

Data Analytics Consultant

Data AnalystData AnalystFull TimeRemoteSeniorTeam 51-200Since 1978H1B No SponsorCompany SiteLinkedIn

Location

Pennsylvania

Posted

69 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAzureCloud

Job Description

Data Analytics Consultant

Weidenhammer

• Support solution decision-making as a trusted technical advisor. • Design, implement, and deploy data platforms in public and private cloud environments. • Guide clients on data strategy, governance, architecture, and quality management. • Conduct customer workshops, discovery sessions, and presentations. • Educate clients on modern technologies and their business value. • Define processes and tools for data acquisition, storage, transformation, and analysis. • Communicate solution and technology options and their business impact. • Develop roadmaps and implementation strategies for data initiatives. • Review and audit existing solutions and create architecture documentation. • Discuss solutions with stakeholders from C-level to engineering teams. • Function in various roles throughout the project lifecycle. • Assist in pre-sales activities and client presentations

Job Requirements

  • Minimum 5 years of Microsoft data reporting, analytics, visualization, and integration experience.
  • Minimum 5 years of data solution development experience.
  • Vast knowledge of Microsoft technology stacks, including Azure and M365.
  • At least one active Microsoft Fabric certification.
  • B.S./M.S. in Computer Science, Software Engineering, or related discipline.
  • Proven ability to develop and implement high-quality software solutions.

Benefits

  • Excellent analytical, verbal, written, and communication skills.
  • Ability to communicate professionally with senior leadership in the role of project leader.
  • Contribute to an engaging work environment.
  • Provide technical expertise in business analytics, data integration, and visualization.
  • Specialist knowledge in major relational and NoSQL-type data platforms.
  • Specialist knowledge of Microsoft Fabric workloads including Reporting (Power BI interactive and Paginated Reporting), Data Engineering, Data Factory, Data Science, Data Warehouse, Database & Real-Time Intelligence.
  • Expert-level skillset and experience architecting and developing all components of modern analytics stacks, including MDM, normalization, Business Intelligence / Visualization, relational data warehouse / lake house structures, popular schemas, ETL & ELT.
  • Ability to identify company requirements for data insights and warehousing.
  • Comfortable working with various corporate stakeholders.
  • Expert in architecting Data Lakes and modern data concepts.
  • Experience with Row-Level Security.
  • Experience leveraging Python and GenAI for development.
  • Nice to Have:
  • Experience with big data technologies, Data Bricks, and Snowflake.
  • Experience with Kimball, Bottom-Up, Top-Down, Inmon, and Data Vault concepts.
  • Experience with Star & Snowflake.
  • Experience with Azure Data Factories, SSIS, Azure Synapse Analytics and Azure Stream Analytics

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