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Nextgen Data Analyst Jobs in Kentucky (NOW HIRING)

$140 - $210/hr

... Analytics. The Senior Data Platform Engineer is responsible for the architecture, engineering, administration, security, reliability, and continuous modernization of NextGen's cloud data platform.

$150 - $230/hr

Conduct and analyze team performance levels against market trends and corporate objectives. Coach ... NextGen is the healthcare technology partner for diverse ambulatory practices with evolving ...

$110 - $150/hr

... data as required by the scope of the project. The Technical Advisor participates in all stages of ... Document and validate customer's requirements and map to NextGen functionality. Create a system ...

$120 - $180/hr

Lead through data driven analysis of business results* Leverage key performance indicators and data ... NextGen Certification in EHR,EPM or other relevant product certifications within 6 months of hire.

$120 - $160/hr

... Data 360, Event Monitoring, advanced automation, analytics, digital experiences, and myriad other ... NextGen is the healthcare technology partner for diverse ambulatory practices with evolving ...

$120 - $160/hr

Qualified individuals will combine scientific and analytical expertise with strong communication ... NextGen sequencing and clinical data. * Excellent written and oral communication skills.

New

$113 - $193/hr

Experience with genomic data interpretation software (e.g., NextGen sequencing analysis tools) * Knowledge of regulatory and compliance standards (CMS, NCCN, ASCO guidelines) for genetic testing and ...

Nextgen Data Analyst information

What is a Nextgen data analyst?

Nextgen Data Analysts are professionals who leverage advanced analytics, artificial intelligence, and modern data technologies to interpret complex data sets and provide actionable insights for organizations. Unlike traditional data analysts, they often work with big data platforms, cloud computing, and machine learning tools to uncover patterns and trends. Their role is pivotal in helping companies make data-driven decisions that drive innovation and efficiency. Nextgen Data Analysts are also expected to communicate their findings effectively to both technical and non-technical stakeholders.

How does a Nextgen data analyst typically collaborate with cross-functional teams to drive data-driven decision-making?

A Nextgen Data Analyst often works closely with departments such as product management, marketing, engineering, and executive leadership to translate complex data findings into actionable insights. Collaboration usually involves participating in strategy meetings, presenting analytical reports, and co-developing metrics or dashboards tailored to team objectives. Effective communication and a proactive approach to stakeholder engagement are essential, as the analyst bridges the gap between raw data and business strategy. This collaborative environment not only enhances the impact of data initiatives but also fosters continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a Nextgen data analyst, and why are they important?

To thrive as a Nextgen Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, computer science, or a related field. Familiarity with advanced data analytics tools, programming languages like Python or R, and platforms such as SQL, Tableau, or Power BI is typically required, along with certifications like Microsoft Certified Data Analyst or Google Data Analytics. Critical thinking, problem-solving, and effective communication skills help translate complex data insights for stakeholders and foster cross-functional collaboration. These competencies are crucial for turning raw data into actionable strategies that drive business innovation and informed decision-making.

What is the difference between Nextgen Data Analyst vs Data Analyst?

AspectNextgen Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in SQL, Python, or RBachelor's in similar fields; skills in SQL, Excel, and data visualization tools
Work EnvironmentTech-driven companies, healthcare, finance; focus on advanced analytics and automationVarious industries; focus on data collection, cleaning, and basic analysis
Employer & Industry UsageUsed in industries adopting next-gen analytics tools and AI integrationCommon across multiple industries for standard data analysis tasks

The Nextgen Data Analyst typically requires advanced technical skills and works in innovative environments utilizing cutting-edge tools, whereas the Data Analyst performs fundamental data tasks across diverse industries. Both roles share similar educational backgrounds but differ in complexity and scope.

What are popular job titles related to Nextgen Data Analyst jobs in Kentucky?

For Nextgen Data Analyst jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Nextgen Data Analyst jobs?

Cities in Kentucky with the most Nextgen Data Analyst job openings:

Senior Data Platform Engineer

On-site

$140 - $210/hr

Other

Posted 6 days ago


Job description

## Senior Data Platform EngineerApplylocations: Remote GAtime type: Full timeposted on: Posted Todayjob requisition id: R-101757**Job Description:**This role serves as the senior technical owner of the enterprise data platform supporting Finance, Accounting, Sales, Customer Success, Product, HR and Executive Analytics. The Senior Data Platform Engineer is responsible for the architecture, engineering, administration, security, reliability, and continuous modernization of NextGen's cloud data platform. The role combines hands-on engineering with technical leadership, ensuring trusted, scalable, and well-governed data that supports operational reporting, financial close, executive decision making, AI initiatives, and enterprise analytics.* Own the enterprise Snowflake data platform including administration, security, RBAC, warehouse management, cost optimization, monitoring, performance tuning, and operational reliability.* Design, develop, and maintain scalable ELT/ETL pipelines using Informatica, SQL, Python and cloud-native services.* Define enterprise data architecture, integration standards, data modeling patterns, and engineering best practices.* Lead design and implementation of data ingestion, transformation, orchestration, and delivery supporting enterprise analytics.* Support critical Finance processes including month-end close, bookings, ARR, revenue, cost, reconciliations, and executive reporting.* Own production operations including monitoring, observability, incident response, root-cause analysis, disaster recovery planning, and platform resiliency.* Administer AWS services supporting the data platform including S3, IAM, Secrets Manager and related integrations.* Partner with Finance, Accounting, Product, Sales, Customer Success, HR, and IT to translate business requirements into scalable technical solutions.* Establish data quality, validation, reconciliation, lineage, metadata, and governance standards.* Develop automation for deployments, operational support, testing, monitoring, and platform administration.* Mentor engineers, perform architecture and code reviews, and provide technical leadership across the BI and Data Engineering organization.* Develop and maintain technical documentation, runbooks, operational procedures, and knowledge-transfer artifacts.* Evaluate emerging technologies and recommend improvements to scalability, security, performance, and operational excellence.* Perform other duties supporting enterprise data engineering objectives.## ## Education* Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Business, Finance, or related discipline.* Master's degree preferred or equivalent combination of education and experience.## ## Experience* 8+ years of enterprise data engineering experience.* Expert experience with Snowflake, SQL, Informatica, Python, and modern cloud data platforms.* Experience designing enterprise data warehouses, dimensional models, and scalable ELT architectures.* Experience supporting financial reporting, reconciliations, and mission-critical production data platforms.* Experience administering cloud platforms including AWS services supporting enterprise data engineering.* Experience leading technical architecture, mentoring engineers, and influencing engineering standards.## ## Knowledge, Skills & Abilities* Advanced SQL, Python, and data engineering practices.* Snowflake administration, security, optimization, and performance tuning.* Informatica Intelligent Data Management Cloud / PowerCenter or equivalent integration technologies.* AWS (S3, IAM, Secrets Manager) and cloud-native integration patterns.* Enterprise data modeling, governance, metadata, lineage, and data quality.* CI/CD, source control, monitoring, observability, automation, and DevOps practices.* Strong communication, collaboration, mentoring, and technical leadership skills.* Ability to influence architecture and engineering decisions across matrixed teams without direct authority.## ## Preferred Qualifications* Power BI administration and semantic modeling.* Financial systems and ERP data integration.* Experience with enterprise governance and AI-ready data platforms.* Experience leading modernization of enterprise data platforms.NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr