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Senior Analytics Engineer

Job ID:

231254

Job Title:

Senior Analytics Engineer

Work Type:

Contract To Hire

Location:

Richmond, VA

Pay Range:

$90.00 - $92.00 Per Hour

Employment Type:

Hybrid
Hybrid Details: Must be located near one of the following cities for conversion: Raleigh, NC; Charlotte, NC; Lisle, IL; Tampa, FL; Jacksonville, FL; Pensacola, FL; Columbus, IN; San Antonio, TX; Houston, TX; Tempe, AZ; Bloomington, MN; Akron, OH; Nashville, TN; Greenwood Village, CO; Corona, CA

Duration: 6 months to start (with potential for conversion)

Job Description
  • We are seeking a highly skilled and experienced Senior Analytics Engineer with expertise in Microsoft technologies to join our dynamic team
  • The ideal candidate will be responsible for designing, developing, and maintaining business intelligence solutions, with a strong emphasis on semantic layer design and scalable data modeling.
  • This role will involve collaborating with cross-functional teams to gather requirements, design data models, and implement robust BI solutions to support business objectives.
Key Responsibilities:
Design and Development of BI Solutions:
  • Architect, design, and develop end-to-end business intelligence solutions using the Microsoft BI stack.
  • Design, develop, and maintain scalable semantic layers to support enterprise reporting and analytics.
  • Define data models, metrics, and KPIs for reporting and analytics.
  • Lead efforts to design and optimize scalable multidimensional and tabular data models using SSAS/AAS and modern semantic modeling approaches.
  • Demonstrate strong proficiency in DAX, Power Query, and SQL, along with designing intuitive and interactive Power BI dashboards.
  • Work with modern data platforms including Snowflake to support analytics and reporting workloads.
Project Management and Collaboration:
  • Manage project timelines, priorities, and deliverables effectively.
  • Collaborate with cross-functional teams to deliver high-quality BI solutions.
  • Communicate effectively with stakeholders to gather and refine requirements.
  • Serve as a best practices resource for BI and analytics initiatives.
  • Conduct training sessions and enablement for business users on modern BI tools.
  • Mentor and guide junior team members on BI and data modeling best practices.
Administration and Documentation:
  • Monitor and administer Power BI service capacities and environments.
  • Troubleshoot, debug, and optimize BI solutions (reports, cubes, and semantic models).
  • Define and maintain BI frameworks, semantic layers, and metadata repositories to support data governance.
  • Document data warehouse structures, BI solutions, and metadata.
  • Act as an escalation point for Power BI-related issues.
  • Create and maintain technical documentation for BI tools and solutions.
Qualifications:
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5–7 years of experience designing and developing BI solutions using Microsoft technologies.
  • Strong proficiency in SQL, SSAS/AAS tabular modeling, DAX, Power BI, Paginated Reports, Gateway, Service, and Security.
  • Experience working with Azure-based BI solutions (Azure SQL, Synapse, Data Factory, Data Lakes).
  • Experience working with Snowflake, including data modeling and delivering analytics via Power BI.
  • Strong experience designing semantic layers (core requirement).
  • Experience with Power BI Service administration and capacity governance.
  • Strong problem-solving, analytical, and communication skills.
  • Hands-on experience with ETL development and data integration.
Must-Have Skills:
  • Extensive knowledge of Microsoft AAS/SSAS in developing cubes.
  • Extensive knowledge of Microsoft Fabric and related tools.
  • Strong expertise in semantic layer design and data modeling.
  • Advanced knowledge of Power Query and DAX.
  • Experience using Git for version control and deployment.
  • Must have hands-on experience working with Snowflake.
  • Experience working with Databricks.
Preferred (Nice-to-Have) Skills:
  • Experience with AI-driven analytics and reporting, including tools such as Microsoft Copilot and Snowflake Cortex.
  • Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Azure Data Engineer Associate, Power BI).
  • Experience with PowerShell.
  • Experience coding in Python.
  • Experience on MCP server integration and LLM models.
  • Experience working and configuring AI Data Agents. Behavioral Competencies:
  • Self-motivated with strong problem-solving abilities.
  • Ability to work effectively across all levels of the organization.
  • High attention to detail and commitment to quality.
  • Ability to operate with urgency in ambiguous or high-risk situations.
  • Strong collaboration skills and team-oriented mindset.
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