Jobs via Dice
Data Analyst ( Python, Power BI)
Salary
-
Job type
Part-time
Location
Newark, New Jersey, US
Remote
No
Posted
2 days ago
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Browse resume examplesJob description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Zenosys, is seeking the following. Apply via Dice today!
Hello,
Zenosys is looking Data Analyst client Newark , NJ If you are available and interested in the below opportunity, please send me updated resume. Thanks
Job Title Data Analyst
Location- Newark, NJ Hybrid)
Duration 12+ Months Contracts Highly Chance to Extend
If you are interested, please provide the following details along with the updated resume to speed up the interview process.
Full Legal Name as mentioned in Drivers' license
Current Location
Willing to relocate to the specified work location
Currently on a project or actively looking
Availability for interview
Availability to join the project
Date of Birth (Month/Date)
Visa Status
Since how long the candidate has been in US
Need Education details with University Name, Location & Passing year in resume.:
LinkedIn address
3 Reminder that candidates need to be video screened prior to sending to CAI
Interview: candidates should complete the screening questions ASAP; CAI recruiter will conduct a video call; client onsite interview
Job Description
We are looking for a part-time Data Analyst to provide data analytics support to ingest, standardize, and analyze prescription drug pricing data from multiple sources and produce accurate tables, visualizations, and trend insights for statutory reporting and oversight. This position will be Part-time (20-hours per week) and Hybrid (2-days onsite), with a 3-6 month contract duration.
This position requires 2-days onsite in Newark, NJ.
What You Ll Do
- Provide data analytics support to ingest, standardize, and analyze prescription drug pricing data from multiple sources.
- Produce accurate tables, visualizations, and trend insights to support statutory reporting and oversight.
- Process, standardize, and analyze large volumes of prescription drug pricing data received from wholesalers, manufacturers, PBMs, PSAOs, and insurance carriers.
- Transform raw datasets into structured tables, visualizations, and descriptive analyses.
- Enable identification of key trends across the prescription drug supply chain.
- Support prioritization of the top 25 drugs for reporting and review.
What You'll Need
Required
- 5-years proficiency in data analysis and transformation using tools such as SQL, Python, or R
- 5-years experience working with large, complex datasets from multiple sources and formats
- 5-years proven ability to develop clear, publication-ready visualizations using tools such as Power BI or Tableau
- 5-years strong data quality management skills, including validation, standardization, and troubleshooting
- Excellent analytical and communication skills to translate data into actionable insights for stakeholders
If interested Please send me your resume at
Thanks,
HemendraKalal,
Ph: (O)
Sr. Technical Recruiter,
Fax
Zenosys Consulting,
Web
Responsibilities
- We are looking for a part-time Data Analyst to provide data analytics support to ingest, standardize, and analyze prescription drug pricing data from multiple sources and produce accurate tables, visualizations, and trend insights for statutory reporting and oversight
- This position will be Part-time (20-hours per week) and Hybrid (2-days onsite), with a 3-6 month contract duration
- Provide data analytics support to ingest, standardize, and analyze prescription drug pricing data from multiple sources
- Produce accurate tables, visualizations, and trend insights to support statutory reporting and oversight
- Process, standardize, and analyze large volumes of prescription drug pricing data received from wholesalers, manufacturers, PBMs, PSAOs, and insurance carriers
- Transform raw datasets into structured tables, visualizations, and descriptive analyses
- Enable identification of key trends across the prescription drug supply chain
- Support prioritization of the top 25 drugs for reporting and review
Qualifications
- 5-years proficiency in data analysis and transformation using tools such as SQL, Python, or R
- 5-years experience working with large, complex datasets from multiple sources and formats
- 5-years proven ability to develop clear, publication-ready visualizations using tools such as Power BI or Tableau
- 5-years strong data quality management skills, including validation, standardization, and troubleshooting
- Excellent analytical and communication skills to translate data into actionable insights for stakeholders
Benefits
- Duration 12+ Months Contracts Highly Chance to Extend
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