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Sr Data Analyst

Altera Digital Health logo

Location
United States
Base Salary
83k-107k USD
Altera Digital Health

Job Description

Altera, a new 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

  • Required Technologies: SQL, Excel, PowerBI, MicroStrategy, SSIS, SSRS, XML, PowerShell, Google Charts, JavaScript
  • 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.

Our company complies with all local/state regulations in regard to displaying salary ranges. If required, the salary range(s) are displayed below and are specifically for those potential hires who will perform work in or reside in the location(s) listed, if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data, ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD, technology), for example.

Salary Range$82,852—$106,675.50 USD

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.

If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at:

[email protected]

Advice from our career coach

A successful applicant for this role at Altera Digital Health should have a deep understanding of data analysis and reporting, with a focus on healthcare technology. To stand out as an applicant, you should showcase your proficiency in data warehousing systems, ETL processes, statistical methods, and data visualization tools. Here are some specific tips to help you standout:

  • Highlight your experience in analyzing large datasets and presenting insights using tools like Tableau or Power BI.
  • Showcase your expertise in programming languages such as SQL, Python, or R for data manipulation.
  • Demonstrate your critical thinking skills and problem-solving abilities, especially in complex data analysis scenarios.
  • Emphasize your communication skills, as you will need to explain complex data concepts to non-technical stakeholders.
  • Illustrate your ability to manage data analysis projects from start to finish and deliver timely results.

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