Data Analytics Jobs in Dover, NH (NOW HIRING)

• Microsoft Fabric & Data Lake Adoption
  • Lead adoption of the Microsoft Fabric data platform, ensuring consistent design patterns, best practices, and scalable architecture.
  • Oversee integration of structured and unstructured data sources into the enterprise data lake.
  • Ensure semantic models and data products are designed to support enterprise reporting, analytics, and self-service consumption
• Data Quality, Governance & Trust
  • Champion the use of high-quality, trusted data across the organization.
  • Partner with data governance stakeholders to define and enforce standards related to data quality, lineage, security, and access.
  • Establish data quality monitoring, validation, and remediation practices.
  • Promote consistent definitions, KPIs, and metrics across departments.
• Analytics Delivery & Enablement
  • Oversee development of executive, operational, and analytical dashboards using Power BI.
  • Enable and scale self-service analytics through governed datasets, documentation, and user enablement.
  • Serve as an analytics thought partner to business leadership, delivering insights that drive measurable business outcomes.
    
  • Support external audit or regulatory reviews related to analytics, reporting, and data platforms as required.
• People Leadership & Collaboration
  • Lead, coach, and develop a small team of data and reporting analysts.
  • Set clear priorities, goals, and performance expectations for the team.
  • Foster a collaborative, continuous-learning environment focused on innovation and improvement.
  • Work closely with IT, Finance, Operations, and other business teams to ensure analytics solutions meet enterprise needs.

QUALIFICATIONS:

• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business Analytics, or a related field required.
• Master’s degree preferred.
• 8+ years of progressive experience in data analytics, business intelligence, or data platform roles.
• 3+ years of experience in a technical or analytics leadership role, including direct people management.
• Demonstrated experience leading enterprise analytics initiatives and data platform adoption
• Strong expertise in modern data platforms and lakehouse architectures, with hands-on experience in Microsoft Fabric or similar cloud platforms. Familiarity with enterprise data lakes and cloud data platforms, such as Snowflake, is highly desirable.
• Ability to guide business teams in leveraging LLMs for productivity, insights, and workflow automation.
• Advanced experience with Power BI, including semantic modeling, performance optimization, and enterprise reporting standards.
• Proven background in dimensional data modeling and analytics-ready data design.
• Strong SQL skills; Python experience preferred.
• Deep understanding of data governance, data quality management, and master/metadata concepts.
• Ability to translate complex data into clear, actionable insights for executive and non-technical audience.
• Experience operating in agile delivery environments (Scrum, Kanban); familiarity with Jira or similar tools preferred.
• Demonstrated ability to influence without authority and drive adoption across multiple departments.
• Excellent strategic thinking, problem-solving, and prioritization skills.
• Experience working with integrated enterprise data in cross-functional teams, skillfully evaluating alternative solutions and recommending optimal approaches
• Data modeling with Power Designer or similar tools would be a plus.
• Ability to identify, evaluate, and prioritize AI / ML use cases across business domains (predictive analytics, decision intelligence, automation, risk detection, etc.).
• Understanding of LLM governance, including model safety, bias detection, confidentiality controls, and appropriate enterprise use cases.
• Results-oriented leader with a strong sense of ownership and accountability.
• Excellent interpersonal, written, and verbal communication skills.
• Ability to balance strategic vision with hands-on execution.
• Comfortable navigating ambiguity and change in a fast-paced environment.
• Strong collaboration skills and ability to build trusted partnerships across the organization.
• High attention to detail while maintaining an enterprise-level perspective.
• Ability and experience in establishing COEs