Technical Data Analyst

Purpose

A Technical Data Analyst is responsible for extracting, processing, and analyzing intricate technical data, often related to specialized domains like engineering, IT, or scientific research. They play a crucial role in translating technical data into actionable insights to support informed decision-making and solve technical challenges.

Accountabilities

• Champions a customer focused culture to deepen client relationships and leverage broader Health New England's relationships, systems and knowledge.
• Create and maintain optimal data pipeline and reporting architecture
• Data Collection: Gather technical data from various sources, including sensors, logs, databases, and equipment.
• Data Preprocessing: Clean and preprocess raw technical data to ensure accuracy and consistency, which may involve handling noisy or unstructured data.
• Data Analysis: Apply advanced statistical and analytical techniques to uncover patterns, anomalies, and trends within the technical data.
• Data Visualization: Create specialized data visualizations, including charts, graphs, and 3D models, to convey complex technical findings effectively.
• Root Cause Analysis: Investigate technical issues or failures by analyzing data to identify root causes and suggest improvements.
• Algorithm Development: Design algorithms and simulations to model and analyze technical processes.
• Data Integration: Integrate data from various technical systems and sensors for a holistic view of operations.
• Reporting: Generate comprehensive technical reports and presentations that communicate findings and recommendations to technical teams and management.
• Collaboration: Collaborate closely with engineers, IT professionals, and other technical experts and business leaders to provide data-driven insights and solutions.

Position: Technical Data Analyst

Reporting Relationships (Job Titles only)

Primary Manager:

(include secondary Manager if applicable)

• IT Manager Data Management

Direct Reports:

• IT Manager

Shared Reports (solid/dotted if applicable):

• NA

External/Internal Contacts

Internal

• HNE- Cross Functional Teams

External

N/A

Education / Experience / Other Information (include only those that are specific to the role)

Bachelor's or master's degree in a technical field such as engineering, computer science, or a related discipline. Minimum of 5 years of experience in designing business intelligence reports, dashboards, or other visualizations.

• Proficiency in technical data analysis tools and programming languages (e.g., SSIS, BI, Python, MATLAB, R).
• Strong mathematical and statistical skills, including expertise in specialized technical analysis techniques.
• Knowledge of domain-specific technical concepts and terminologies.
• Familiarity with data visualization tools and techniques tailored to technical data.
• Problem-solving skills to address complex technic
• Health Insurance data domain familiarity would be a plus
• Experience building and optimizing data pipelines, architectures and data sets using technologies such as MS SSIS, Azure Data Factory, or a similar technology
• Experience performing analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analysis, processing, and wrangling skills working with structured, semi-structured, and unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
• Fast learner who seeks to understand not only the data, but what the data means to the business
• Comfortable leading meetings and conducting training sessions as needed
• Self-driven with ability to manage workload with minimal supervision
• Strong time management, planning, and prioritization experience