Data Reporting and Analytics Lead
New
J
JobgetherData Analytics
Based in United StatesFull-TimeLead
Salary169,604 - 229,464 USD per year
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Job Details
- Required Skills
- PythonSQLMicrosoft Power BITableau
Requirements
- Advanced experience designing and delivering enterprise reporting, analytics, and data-driven solutions.
- Strong proficiency in Python, SQL, and data transformation techniques supporting large-scale analytical systems.
- Extensive experience working with business intelligence platforms such as Power BI, Tableau, Qlik, or similar tools.
- Strong knowledge of analytical data models, semantic layers, dashboards, and reporting architectures.
- Experience developing reporting solutions in regulated, government, or high-sensitivity data environments.
- Ability to analyze complex datasets and translate findings into actionable business insights.
- Strong understanding of data governance, security, privacy, and compliance requirements.
- Experience supporting AI/ML initiatives, including responsible AI practices and governance processes.
- Excellent communication skills with the ability to collaborate with technical teams, business stakeholders, and leadership.
- Strong problem-solving abilities and experience managing multiple priorities in a fast-paced environment.
- Master’s degree in a relevant field with significant professional experience, or equivalent experience through a combination of education and industry expertise.
Responsibilities
- Lead the design, development, and integration of configurable dashboards, self-service reporting solutions, and predictive analytics capabilities.
- Translate business reporting needs and key performance indicators into report designs, semantic models, and reusable datasets.
- Develop and enhance dashboards and reports using business intelligence tools while ensuring usability, performance, and scalability.
- Implement and validate SQL logic, calculations, and metric definitions across reporting products.
- Coordinate data replication, integrations, and feeds required to support internal and external reporting needs.
- Partner with data engineering teams to improve data quality, resolve data issues, and enhance reporting readiness.
- Establish reporting standards, documentation practices, and visualization guidelines to ensure consistent and meaningful insights.
- Monitor analytical system performance and help maintain service-level expectations for reporting solutions.
- Drive user adoption of dashboards and reporting tools by supporting stakeholders and improving accessibility.
- Ensure reporting solutions comply with privacy, security, access control, and data governance requirements.
- Lead AI and machine learning solution design while aligning implementations with responsible AI practices and regulatory standards.
- Maintain documentation and governance processes for AI/ML capabilities.
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