**Experienced Senior Data Analyst – Data Examination and Pipeline Development**
At arenaflex, we're on a mission to revolutionize the way data is collected, analyzed, and utilized to drive business growth. As a leading innovator in the industry, we're seeking a highly skilled and experienced Senior Data Analyst to join our team in Dallas, TX, and work remotely from the comfort of their own home. This is an exciting opportunity to contribute to various projects simultaneously, working in a collaborative and matrixed environment, and taking ownership of your tasks and schedule.
**About arenaflex**
arenaflex is a pioneering organization that has been at the forefront of technological advancements for decades. With a strong presence in the private sector, we've established ourselves as a trusted partner for businesses seeking innovative solutions to complex problems. Our commitment to excellence, customer satisfaction, and employee well-being has earned us a reputation as a leader in the industry.
**Job Summary**
We're looking for a seasoned Senior Data Analyst to join our team and contribute to the development of our data examination and pipeline development initiatives. As a key member of our team, you'll be responsible for designing and implementing data models, creating and presenting detailed plans to meet client requirements, and applying scientific reasoning to drive innovation in technical problem-solving. You'll work closely with various partner groups to investigate different data set frameworks, assemble and maintain tools that monitor data and system health, and identify, plan, and implement internal process improvements to enhance application performance and cost savings.
**Key Responsibilities**
* Design and implement data models, including robust data definitions, which may be content relationship-attribute models, star-schema, or layered models
* Create and present detailed plans to meet client requirements
* Apply scientific reasoning to drive innovation in technical problem-solving
* Make SQL projects to extract, transform, and load data from and to various targets like Level Records, Teradata, Prophet, Sky blue Datalake, and Vertica
* Work with complex client data
* Supervise quality control and evaluation of databases, resolving data issues, and investigating system changes for quality assurance
* Make data structures for examination, demonstration, and reporting
* Foster applications using Palantir Foundry, PySpark, Python, and related technologies
* Create and track business metrics
* Create and maintain standard, custom, and ad-hoc reports
* Upgrade and maintain current data pipelines and related systems
* Collect large, complex data sets that meet business requirements
* Engage with various partner groups to investigate different data set frameworks
* Assemble and maintain tools that monitor data and system health
* Identify, plan, and implement internal process improvements to enhance application performance and cost savings
* Execution tune and enhance information pipeline on Flash
* Make and maintain documentation describing data index and data objects
**Qualifications**
* Bachelor's degree in Electronic Engineering, Computer Science, or Software Engineering
* 5 years of moderate, post-baccalaureate experience in the role offered or 5 years of moderate, post-baccalaureate experience in a related occupation making SQL projects to extract, transform, and load data from and to various targets like Level Records, Teradata, Prophet, Sky blue Datalake, and Vertica; working with complex client data; regulating quality control and examining of databases, resolving data issues, and investigating system changes for quality assurance; and making data structures for examination, demonstration, and reporting
**Benefits and Perks**
* Competitive salary range: $35-$40/hour
* Comprehensive health insurance package, including medical, dental, and vision coverage
* 401(k) plan with company match
* Educational assistance program
* Paid time off and holidays (at least 23 days of vacation per year and 9 company-designated holidays)
* Paid parental leave
* Paid guardian leave
* Additional sick leave beyond what state and local regulations require may be available but is unpaid
* Adoption reimbursement
* Disability benefits (short-term and long-term)
* Life and accidental death insurance
* Supplemental benefit programs: basic disease/emergency hospital reimbursement/group legal
* Employee assistance programs (EAP)
* Comprehensive employee wellness programs
* Employee discounts up to 50% off on qualified AT&T mobility plans and accessories, AT&T internet (and fiber where available), and AT&T phone
**Work Environment and Culture**
* Remote work arrangement with flexible schedule
* Collaborative and matrixed work environment
* Opportunities for professional growth and development
* Recognition and rewards for outstanding performance
* Diverse and inclusive workplace culture
* Commitment to employee well-being and work-life balance
**How to Apply**
If you're a motivated and experienced Senior Data Analyst looking for a new challenge, please submit your application through our website. We can't wait to hear from you!
Apply Now!
**About arenaflex**
arenaflex is a pioneering organization that has been at the forefront of technological advancements for decades. With a strong presence in the private sector, we've established ourselves as a trusted partner for businesses seeking innovative solutions to complex problems. Our commitment to excellence, customer satisfaction, and employee well-being has earned us a reputation as a leader in the industry.
**Job Summary**
We're looking for a seasoned Senior Data Analyst to join our team and contribute to the development of our data examination and pipeline development initiatives. As a key member of our team, you'll be responsible for designing and implementing data models, creating and presenting detailed plans to meet client requirements, and applying scientific reasoning to drive innovation in technical problem-solving. You'll work closely with various partner groups to investigate different data set frameworks, assemble and maintain tools that monitor data and system health, and identify, plan, and implement internal process improvements to enhance application performance and cost savings.
**Key Responsibilities**
* Design and implement data models, including robust data definitions, which may be content relationship-attribute models, star-schema, or layered models
* Create and present detailed plans to meet client requirements
* Apply scientific reasoning to drive innovation in technical problem-solving
* Make SQL projects to extract, transform, and load data from and to various targets like Level Records, Teradata, Prophet, Sky blue Datalake, and Vertica
* Work with complex client data
* Supervise quality control and evaluation of databases, resolving data issues, and investigating system changes for quality assurance
* Make data structures for examination, demonstration, and reporting
* Foster applications using Palantir Foundry, PySpark, Python, and related technologies
* Create and track business metrics
* Create and maintain standard, custom, and ad-hoc reports
* Upgrade and maintain current data pipelines and related systems
* Collect large, complex data sets that meet business requirements
* Engage with various partner groups to investigate different data set frameworks
* Assemble and maintain tools that monitor data and system health
* Identify, plan, and implement internal process improvements to enhance application performance and cost savings
* Execution tune and enhance information pipeline on Flash
* Make and maintain documentation describing data index and data objects
**Qualifications**
* Bachelor's degree in Electronic Engineering, Computer Science, or Software Engineering
* 5 years of moderate, post-baccalaureate experience in the role offered or 5 years of moderate, post-baccalaureate experience in a related occupation making SQL projects to extract, transform, and load data from and to various targets like Level Records, Teradata, Prophet, Sky blue Datalake, and Vertica; working with complex client data; regulating quality control and examining of databases, resolving data issues, and investigating system changes for quality assurance; and making data structures for examination, demonstration, and reporting
**Benefits and Perks**
* Competitive salary range: $35-$40/hour
* Comprehensive health insurance package, including medical, dental, and vision coverage
* 401(k) plan with company match
* Educational assistance program
* Paid time off and holidays (at least 23 days of vacation per year and 9 company-designated holidays)
* Paid parental leave
* Paid guardian leave
* Additional sick leave beyond what state and local regulations require may be available but is unpaid
* Adoption reimbursement
* Disability benefits (short-term and long-term)
* Life and accidental death insurance
* Supplemental benefit programs: basic disease/emergency hospital reimbursement/group legal
* Employee assistance programs (EAP)
* Comprehensive employee wellness programs
* Employee discounts up to 50% off on qualified AT&T mobility plans and accessories, AT&T internet (and fiber where available), and AT&T phone
**Work Environment and Culture**
* Remote work arrangement with flexible schedule
* Collaborative and matrixed work environment
* Opportunities for professional growth and development
* Recognition and rewards for outstanding performance
* Diverse and inclusive workplace culture
* Commitment to employee well-being and work-life balance
**How to Apply**
If you're a motivated and experienced Senior Data Analyst looking for a new challenge, please submit your application through our website. We can't wait to hear from you!
Apply Now!