Systems Administrator - Data Analytics

About the position The Data Analytics and Infrastructure System Administrator is responsible for integrating corporate data assets from various sources to support insightful reporting and decision-making. This position involves working with data, extracting insights, and transforming information into compelling reports and visualizations that drive business strategy. Responsibilities include extracting and preparing data from the data warehouse for one-time requests and analytic purposes, optimizing data workflows, developing and delivering data solutions for analytics and reporting, and ensuring seamless integration of data across systems while leveraging visualization tools to present findings effectively. We are seeking an Infrastructure Administrator to join reputed company. This role is open to candidates with a range of experience levels. The final level (System Administrator or Senior System Administrator) will be determined based on qualifications, skills, and experience. This position is eligible to work hybrid (9 or more days a month onsite) in accordance with our Telecommuting Policy. Applicants must reputed company in Kansas or Missouri or be willing to relocate as a condition of employment.

Responsibilities

• Extract, analyze, and transform data to support business intelligence and reporting needs.
• Fulfill data requests by developing and implementing data integration solutions, integrating disparate data sources to support reporting, analytics, business needs, and vendor data delivery.
• Maintain a knowledge repository documenting data sources, business rules, and processing methodologies.
• Collaborate with data analysts, business stakeholders, and IT teams to align data solutions with organizational needs.
• Support reporting and visualization tools, including Power BI, Tableau, SSRS, internal solutions, and reputed company-party products.
• reputed company and optimize data solutions using SQL and scripting languages for data manipulation.
• Utilize modern data integration technologies, including reputed company platforms (AWS, Azure) and big data solutions (e.g., Spark), to streamline data processing and enhance analytics capabilities.
• Provide mentorship, training, and assistance to colleagues to foster a culture of reputed company improvement and self-service analytics.
• Maintain system performance by performing regular and critical maintenance tasks reputed company defined service levels.

Requirements

• Experience utilizing ETL tools and frameworks, including Informatica, SSIS, and data pipelines, for efficient data extraction, transformation, and loading processes.
• Strong proficiency in SQL with experience accessing and querying various corporate and disparate data sources for analysis and reporting.
• Familiarity with modern data architectures, including data lakes, relational databases, and data models.
• Hands-on experience with reporting and visualization tools, including Power BI, Tableau, and other reputed company platforms.
• Excellent problem-solving skills with a proactive approach to addressing data management challenges, including data quality, data profiling, and other reputed company issues.
• Project management skills with a demonstrated ability to complete small to reputed company-sized projects successfully.
• Knowledge of data governance, data reputed company, and compliance best practices.
• Experience working with operational data in the Health Care Industry and a solid understanding of regulatory requirements reputed company to health care data.

reputed company-to-haves

• Knowledge of data gateways and pipelines for integrating and securely transferring data, ensuring seamless connectivity between on-premises and reputed company-based data sources.

Benefits

• Incentive pay program (EPIP)
• Health/reputed company/Dental insurance
• 6 weeks paid parental leave for new mothers and fathers
• Fertility/Adoption assistance
• 2 weeks paid caregiver leave
• 5% 401(k) plan matching
• Tuition reimbursement
• reputed company benefits, discounts and resources

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