Sr Data Analyst

Altera Digital Health Inc. United States; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst to drive insights from large datasets and enhance decision-making processes. This role involves analyzing enterprise data, developing reporting solutions, and collaborating with various departments to ensure data quality and compliance. The ideal candidate will possess strong analytical skills, proficiency in data visualization tools, and the ability to communicate complex concepts to non-technical stakeholders. Join a forward-thinking company dedicated to transforming healthcare through innovative data solutions and make a significant impact in the industry.

Qualifications

• 7+ years of experience in data analysis with expertise in ETL processes.
• Strong analytical skills and proficiency in SQL and Python for data manipulation.

Responsibilities

• Analyze and document complex data mappings and functional requirements.
• Provide analytical support and improve data quality across departments.

Skills

Data Warehousing

ETL Processes

Statistical Analysis

Data Visualization

SQL

Python

Critical Thinking

Communication Skills

Data Quality Assurance

Education

Bachelor's Degree in a relevant Program

Tools

Tableau

Power BI

SQL Server

Oracle

MongoDB

Job description

Altera, a member of the N. Harris Computer Corporation family, delivers health IT solutions that support caregivers around the world. These include the Sunrise, Paragon, Altera TouchWorks, Altera Opal, STAR, HealthQuest and dbMotion solutions. At the intersection of technology and the human experience, Altera Digital Health is driving a new era of healthcare, in which innovation and expertise can elevate care delivery and inspire healthier communities across the globe. A new age in healthcare technology has just begun.

JOB SUMMARY

The primary purpose of this role is to analyze large-scale data sets to discover trends, identify performance and quality metrics, and uncover optimization opportunities as well as design and develop enterprise-wide data analysis and reporting solutions and fulfil ad hoc reporting requests.

ESSENTIAL FUNCTIONS/MAJOR JOB RESPONSIBILITIES

• Analyze enterprise data warehouse and business intelligence systems to identify and document complex data mappings (ETL), relations, business rules, as well as functional and non-functional requirements.
• Gather reporting and analysis requirements and translate into data models.
• Provide analytical support to various departments within the organization including formulating metrics and quality targets.
• Analyze and resolve data quality problems through appropriate process design strategies, including error detection and proposing error correction procedures, using automation wherever possible.
• Recommend methods to collect, analyze and manage data to improve data quality and effectiveness of data systems.
• Act as primary point of contact working with stakeholders to understand systems, processes and business needs.
• Work closely with Legal, Compliance and Security/Privacy to ensure the highest level of Healthcare data protection and quality.
• Support the Development Team during the software build process (consultancy, requirements definition, design, documentation, review, etc.)
• Support the sales / pre-sales process by ensuring data meets the client needs and analyzing development requirements from potential new sales prospects.
• Define and develop dashboards/reports and ad hoc queries as requested in a simple and understandable format.

JOB REQUIREMENTS

Education

• Bachelor's Degree in a relevant Program of study, or equivalent preferred

Work Experience

• 7+ years relevant work experience; 2-3 years at the Expert level or equivalent experience preferred

Knowledge, Skills and Abilities

Required Skills

• Data Warehousing and Business Intelligence Systems: Profound knowledge of data storage, retrieval, and analysis systems.
• ETL Processes: In-depth understanding of Extract, Transform, Load (ETL) processes for integrating and processing data.
• Statistical and Analytical Methods: Strong foundation in statistical methods to apply in data analysis for uncovering trends and insights.
• Data Analysis and Visualization: Proficiency in analyzing large datasets and presenting data in visual formats using tools like Tableau, Power BI, or similar.
• Programming and Scripting: Expertise in programming languages such as SQL, Python, or R for data manipulation and analysis.
• Critical Thinking and Problem-Solving: Excellent analytical skills for solving complex problems and providing practical solutions.
• Communication Skills: Superior verbal and written communication skills, able to clearly explain complex data-related concepts to non-technical stakeholders.
• Translating Requirements into Data Models: Ability to convert business requirements into functional data models and analytics reports.
• Ensuring Data Quality and Accuracy: Capability to implement and maintain quality control processes ensuring data accuracy and validity.

Preferred Skills

• Database Management Systems (DBMS): Familiarity with both relational and non-relational database systems like SQL Server, Oracle, or MongoDB.
• Data Protection and Compliance: Knowledge of legal and regulatory requirements in data handling, especially relevant in healthcare.
• Project Management: Skills in managing data analysis projects from start to finish, ensuring timely delivery.
• Multitasking: Ability to handle multiple projects simultaneously without compromising on quality or deadlines.
• Collaboration: Strong interpersonal skills to work effectively with diverse teams including development, sales, and legal.
• Adaptability to New Technologies: Quick learner with the capability to adapt to new data analysis tools and technologies as they emerge.

Altera is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law.