This job was posted by https://www.kansasworks.com : For more
information, please see: https://www.kansasworks.com/jobs/13698459 **Are
you ready to make a difference? Choose to work for one of the most
trusted companies in Kansas.
Why Join Us?**
Make a Positive Impact: Your work will directly contribute to
the health and well-being of Kansans.
Family Comes First: Total rewards package that promotes the
idea of family first for all employees. Paid vacation and sick leave
with paid maternity and paternity available immediately upon hire
Professional Growth Opportunities: Advance your career with
ongoing training and development programs.
Dynamic Work Environment: Collaborate with a team of passionate
and driven individuals in a work environment that promotes
flexibility.
Trust and Stability: Work for one of the most trusted companies
in Kansas with over 80 years of commitment, compassion and
community.
Inclusive Work Environment: We pride ourselves on fostering a
workplace where everyone is valued and respected.
Benefits & Perks
Base compensation is only one component of your competitive Total
Rewards package
Incentive pay program (EPIP)
Health/Vision/Dental insurance
6 weeks paid parental leave for new mothers and fathers
Fertility/Adoption assistance
2 weeks paid caregiver leave
401(k) plan matching up to 5%
Tuition reimbursement
Health & fitness benefits, discounts and resources
Job Summary
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.
\"This position is eligible to work remote, hybrid or onsite in
accordance with our Telecommuting Policy.\"
What you\'ll do
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 third-party products; while
utilizing approved technologies to develop and optimize solutions
that improve accessibility.
Develop and optimize data solutions using SQL and scripting
languages for data manipulation.
Utilize modern data integration technologies, including cloud
platforms (AWS, Azure) and big datasolutions (e.g., Spark), to
streamline data processing and enhance analytics capabilities.
Provide mentorship, training, and assistance to colleagues to foster
a culture of continuous improvement and self-service analytics.
Maintain system performance by performing regular and critical
maintenance tasks within defined service levels.
What you need
Knowledge/Skills/Abilities
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 related platforms.
Excellent problem-solving skills with a proactive approach to
addressing data management challenges, including data quality, data
profiling, and other related issues.
Project management skills with a demonstrated ability to complete
small to medium-sized projects successfully.
Knowledge of data governance, data security, and compliance best
practices.
