Job description
Since 2002, Quantix ProTech has successfully delivered IT resources and solutions to companies while building a solid reputation for integrity and consistent quality. Quantix ProTech continues to partner with the commercial sector for specialized IT placement and staffing services. Quantix ProTech was recently featured in US News and World Report and Forbes.
Job Title: Data Analyst
Location: Phoenix, AZ
Type: Direct Hire
Job Description: Company located in Phoenix, AZ has an immediate need for a Senior Data Analyst for a direct hire position. This position reports to the Senior Manager of Data Analytics and participates in a team environment. The Senior Data Analyst provides support of all organizational data management functions. Supports the design, creation, maintenance, tuning and support of the organization's relational and dimensional databases, and OLAP Cubes. Leads the data analysis and reporting activities. Additionally, this position will provide guidance and support to other organizational and client staff members in areas of data analysis and reporting. Will also be auditing data feeds.
Required Skills:
1) Data analysis of SQL Server databases.
2) T-SQL ability; writing queries.
3) Experience in reporting / analysis of OLAP databases.
4) BI or data visualization experience - PowerBI, BO, OBIEE, QlikView, Tableau, or other tools.
HIGHLY Desired:
1) Working knowledge of HL7 v2.x, HL7 v3.x, C-CDA and XDS.b standards and protocols, and HIE.
2) Working knowledge of healthcare clinical codes sets such as LOINC, CPT, ICD, RxNorm, etc.
Desired:
1) Formal certifications such as MCSA: SQL Server, MCSE Data Platform, MCSE.
2) Advanced knowledge of Microsoft office toolset (Word, Project, Excel, and PowerPoint required, Visio preferred).
Required Skills:
1) Data analysis of SQL Server databases.
2) T-SQL ability; writing queries.
3) Experience in reporting / analysis of OLAP databases.
4) BI or data visualization experience - PowerBI, BO, OBIEE, QlikView, Tableau, or other tools.
HIGHLY Desired:
1) Working knowledge of HL7 v2.x, HL7 v3.x, C-CDA and XDS.b standards and protocols, and HIE.
2) Working knowledge of healthcare clinical codes sets such as LOINC, CPT, ICD, RxNorm, etc.
Desired:
1) Formal certifications such as MCSA: SQL Server, MCSE Data Platform, MCSE.
2) Advanced knowledge of Microsoft office toolset (Word, Project, Excel, and PowerPoint required, Visio preferred).
All your information will be kept confidential according to EEO guidelines. If your interested, send a copy of your resume at henriquez@quantixinc. com or reach me at 303-557-4014.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
