Experienced Full Stack Google Cloud Platform Data Analyst – Web & Cloud Application Development with Healthcare Client Experience

Are you a highly skilled data analyst with a passion for leveraging advanced analytics to drive business growth and decision-making? Do you have experience working with Google Cloud Platform and a strong background in data visualization, machine learning, and statistical analysis? If so, we have an exciting opportunity for you to join our team as a Full Stack Google Cloud Platform Data Analyst with Healthcare Client Experience.

About Us

At Workwarp, we are a leading provider of innovative data analytics solutions that help businesses make informed decisions and drive growth. Our team of experts is dedicated to delivering high-quality data insights and solutions that meet the evolving needs of our clients. As a Full Stack Google Cloud Platform Data Analyst with Healthcare Client Experience, you will play a key role in transforming data into actionable business insights and driving decision-making across our organization.

Job Summary

We are seeking an experienced Full Stack Google Cloud Platform Data Analyst with Healthcare Client Experience to join our team. As a Full Stack Data Analyst, you will be responsible for designing and building data analytic solutions from concept to implementation in an agile environment. You will work closely with cross-functional teams to uncover trends, drive decision-making, and contribute to the strategic vision of our Data and Analytics department.

Responsibilities

As a Full Stack Google Cloud Platform Data Analyst with Healthcare Client Experience, your responsibilities will include:

• Design and build data analytic solutions from concept to implementation in an agile environment
• Participate in the full systems development lifecycle, including providing estimates, gathering reporting requirements, profiling data, establishing designs, building queries and front-end designs, performing code reviews, quality assurance, and deploying solutions
• Collaborate with colleagues to ensure backend data structures and semantic layer are designed properly and fit-for-purpose
• Ensure overall reporting solution quality, reliability, and performance
• Provide operational support and maintenance on reporting solutions, including incident management and troubleshooting for issue resolution
• Support upgrades, configuration, and troubleshooting for BI tools
• Develop and maintain up-to-date documentation
• Track and respond to ad hoc data extracts; evaluate the tracking information to propose new reporting solutions that promote self-service
• Provide thought partnership in data management and data analytics industry best practices
• Participate in the evaluation of new technologies for continuous improvement
• Comply with data governance policies and standards
• Assist with problem resolution of data and reporting issues; collaborate on developing new solutions
• Mentor and provide leadership to junior data analysts
• Proactively determine approaches to optimize data collection and lead automation efforts, including the creation of self-service tools

Requirements

To be successful in this role, you will need to have:

• A Bachelor's degree or equivalent experience in the field of Business Analytics, Data Science, Computer Science, Applied Mathematics/Statistics
• 5+ years of experience in a data analyst role, related, progressive roles
• Proficiency in SQL, data visualization tools (e.g. Tableau, Looker Studio, PowerBI)
• Strong understanding of data structures, algorithms, and statistical methods
• Knowledge and fluency with relevant programming languages like Python or R
• Experience creating intuitive user interfaces for decision support
• Hands-on experience in full systems development lifecycle for reporting and BI solutions
• Working knowledge of Hadoop (Hive, Impala) to extract data into insights
• Experience working with relational databases (e.g. Oracle, SQL Server)
• Proficient in data analysis to solve a wide variety of business problems
• Demonstrated understanding of database design (logical and physical, relational, and dimensional)
• Strong knowledge of Data Lake, Data Warehouse, BI, and analytic capabilities, and concepts
• Excellent verbal and written communication skills, with the ability to convey complex insights to diverse stakeholders
• Self-starter, flexible, and able to organize and prioritize tasks
• Detail oriented and ability to work with a high degree of accuracy
• Enhanced organizational skills with the ability to work on multiple projects simultaneously, and complete projects independently within established timeframes

Preferred Qualifications

* Data modeling and data design experience

• Experience with Cloud Based Technology like Google Cloud Platform
• Experience with scheduling and workload automation technology (Airflow)
• Experience with related information management disciplines (e.g. data quality management, master data management, metadata management, data governance, data architecture)
• Experience with health care data
• Experience in managing user acceptance testing (UAT) in agile environments
• Familiarity with incident management workflows and observability tool

What We Offer

As a Full Stack Google Cloud Platform Data Analyst with Healthcare Client Experience, you will have the opportunity to work with a talented team of data analysts and scientists, and contribute to the development of innovative data analytics solutions. You will also have access to a range of benefits, including:

• Competitive salary and benefits package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Flexible work arrangements, including remote work options
• Access to cutting-edge technology and tools
• Opportunities to work on high-profile projects and contribute to the strategic vision of our organization

How to Apply

If you are a highly skilled data analyst with a passion for leveraging advanced analytics to drive business growth and decision-making, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you!

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