Senior Analytics Developer
Indexed description
The position will support both traditional business intelligence initiatives and emerging AI-driven analytics capabilities, including document intelligence, knowledge management, and enterprise search solutions. The ideal candidate combines strong analytical thinking with hands-on experience across modern data platforms, visualization tools, Python/ SQL along with low-code applications and information management technologies.
Key Responsibilities
- Collaborate with business and technology teams to understand requirements and translate them into reporting, analytical, and data-driven solutions.
- Design, develop, and maintain dashboards, scorecards, semantic models, and self-service reporting capabilities.
- Create data models, metrics, and key performance indicators that provide consistent and meaningful business insights.
- Develop and optimize queries, transformations, and analytical datasets to support reporting and decision-making.
- Build Power Apps and workflow solutions that improve business reporting and analytics processes, user experience, and data accessibility.
- Integrate and prepare data from multiple business systems, databases, files, APIs, and cloud-based platforms.
- Support data quality, validation, reconciliation, and governance activities to ensure confidence in reporting outputs.
- Organize, classify, and enrich information stored within enterprise content repositories through metadata and information management practices.
- Assist with AI and knowledge-management initiatives by preparing structured and unstructured information for analytics, search, and retrieval solutions.
- Create and maintain business glossaries, metric definitions, data dictionaries, and support documentation.
- Develop testing plans and coordinate user acceptance testing for reporting and analytics solutions.
- Present findings, recommendations, and solution designs to technical and non-technical audiences.
- Identify opportunities to improve operational efficiency, reporting automation, and enterprise data utilization.
- Provide ongoing support and enhancement of existing analytical solutions through structured management processes.
- Bachelor’s degree in computer science, Information Systems, Data Analytics, Statistics, Business Analytics, or equivalent practical experience.
- Minimum 4 years of experience in business intelligence, analytics, reporting, or data-focused solution development.
- Demonstrated ability to gather business requirements and independently deliver analytical solutions.
- Experience working throughout the full solution lifecycle, including analysis, design, development, testing, deployment, and support.
- Strong problem-solving skills with the ability to manage multiple priorities in a fast-paced environment.
- Excellent verbal and written communication skills with the ability to explain complex concepts to business users.
- Proven ability to learn new technologies and adapt to evolving business needs.
- Strong ability to manage multiple initiatives, prioritize work, and deliver within deadlines
- Proven ability to rapidly learn and evaluate new platforms and technologies
- Strong communication skills with the ability to explain technical solutions to business users
- Power BI (semantic models, DAX, Power Query, dashboards, and reporting)
- SQL Server, Azure SQL, or similar relational database platforms
- Python for data analysis, automation, visualization, or reporting
- Power Apps and Power Automate
- Microsoft Excel (advanced formulas, Power Query, PivotTables, and data analysis)
- SharePoint Online and Microsoft 365
- Dataverse and Power Platform data integrations
- Data modeling, visualization, and analytical design
- API and file-based data integration concepts
- Microsoft Azure data and analytics services
- Microsoft Fabric
- Experience supporting enterprise reporting within insurance, employee benefits, healthcare, or financial services organizations
- SharePoint-based document management and content repositories
- Metadata management, information architecture, and content classification
- AI-powered search, document intelligence, and knowledge management solutions
- Experience working with unstructured data, OCR outputs, or document extraction platforms
- Familiarity with embeddings, vector databases, semantic search etc.
- Exposure to enterprise data governance, data catalog, and master data management concepts
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