Elder Research

Business Analyst

• Conduct process mapping and analysis to identify inefficiencies, recommend improvements, and support process optimization.
• Define, catalog, and maintain data sets while ensuring data quality, integrity, and accessibility.
• Identify and document data users, their requirements, and use cases to enable effective decision-making.
• Collaborate cross-functionally to develop new data products, solutions, and business processes.
• Translate business requirements into technical specifications for developers, engineers, and stakeholders.
• Lead initial issue response and root cause analysis for technical and process-related challenges.
• Facilitate collaboration through visualization and ideation tools (e.g., MIRO, Mural, FIGMA, Notion).
• Support the development and implementation of data governance and data management best practices.
• Conduct business process modeling using frameworks such as BPMN or UML.
• Gather and document requirements through user stories, use cases, and functional/non-functional specifications.
• Perform data analysis and reporting using Excel, SQL, or BI tools.
• Work within Agile frameworks, including sprint planning, backlog refinement, and stand-ups.
• Partner with technical teams to bridge the gap between business needs and technology solutions.

Technical Business Analyst

Data Engineer

• Data Engineering & Analysis: Develop, optimize, and maintain scalable data pipelines and systems in Azure environments
• Analyze large, complex datasets to extract insights and support business decision-making
• Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI
• Collaboration & Consulting: Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions
• Act as a subject-matter expert in data engineering and provide guidance on best practices
• Translate complex technical concepts into actionable business insights for stakeholders
• Azure Expertise: Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions
• Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments
• SDLC Proficiency: Follow and advocate for SDLC best practices in data engineering projects
• Collaborate with software development teams to ensure seamless integration of data solutions into applications