About Allied Benefit Systems
Sourced by ZipRecruiter
Industry
Insurance services
Company size
201 - 500 Employees
Headquarters location
Chicago, IL, US
Year founded
1980
$88.70K - $111.90K/yr
Full-time
Medical, Dental, Vision, Life, PTO
Posted 17 days ago
8.1
Based on 5 frontline employees who took The Breakroom Quiz
86th of 422 rated business services
POSITION SUMMARY
The Senior Data Analyst is responsible for delivering highly visible inbound and outbound EDI projects for the data operations team at Allied. This includes playing a key role in the implementation of new trading partners; configuration of inbound and outbound ANSI X12-834 eligibility files and standard and custom data extracts, maintenance of existing trading partner files, and resolving existing trading partner file issues.
Technology platforms for project delivery: QicLink (system or record), new data integrations tools which include support client eligibility (ANSIX12-834 file format). This includes EDI mapping using internal testing and validation tools, etc. This role requires in-depth knowledge of eligibility data exchange, expert knowledge of ANSI X12-834 file format and reading/understanding file spec/requirement documentation
ESSENTIAL FUNCTIONS
EDUCATION
EXPERIENCE AND SKILLS
POSITION COMPETENCIES
PHYSICAL DEMANDS
WORK ENVIROMENT
Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive.
The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.
Compensation is not limited to base salary. Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.
Allied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.
Sourced by ZipRecruiter
Insurance services
201 - 500 Employees
Chicago, IL, US
1980
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Q: What skills or qualities help someone succeed as a Senior Data Analyst?
A: To succeed as a Senior Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical modeling techniques. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are essential for presenting insights to stakeholders, identifying business needs, and working with cross-functional teams. By combining these technical and soft skills, Senior Data Analysts can drive business growth, inform strategic decisions, and advance their careers through leadership opportunities or specialized roles in data science.
Q: What is the career path for a Senior Data Analyst?
A: A Senior Data Analyst's typical career progression involves starting as a Data Analyst, progressing to a Senior Data Analyst, and eventually moving into leadership roles such as Data Manager or Business Intelligence Manager. Key opportunities for skill development include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and developing expertise in statistical modeling and machine learning. Long-term career prospects for Senior Data Analysts may include transitioning into data science roles, becoming a Director of Analytics, or pursuing careers in related fields like business consulting or product management.
