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Data Analyst
Atlanta, GA
Atlanta
GA
31156
Date
: Apr-05-24
2024-04-05
2025-04-05
Data Analyst
Atlanta, GA
Apr-05-24
Work Authorization
US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
USD 68 / Hourly / C2C
Duration
:
3 Months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Analyst
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
SQL Python
Preferred Skills
:
Domain
:
IT/Software
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
USD 68 / Hourly / C2C
Duration
:
3 Months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Analyst
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
SQL Python
Preferred Skills
:
Domain
:
IT/Software
Technogen, Inc
Chantilly, VA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Data Analyst
Location: Atlanta, GA
Duration: 6 Moths+
Manual cleansing of renewals data will include data analysis and validating details with sales reps and managers.
Responsibilities
We are looking for a data analyst who can explore new data, distill insights, and communicate their findings through prepared materials like reports and dashboards as well as informal conversation.
You'll be working with multiple partner teams to quickly understand their needs and provide them with the insights they need.
Collaborate with management and product teams to understand what data analysis they need to understand customers and product usage.
Use statistics, including hypothesis testing, to analyze data and assess its quality.
We are looking for a data analyst who can explore new data, distill insights, and communicate their findings through prepared materials like reports and dashboards as well as informal conversation.
You'll be working with multiple partner teams to quickly understand their needs and provide them with the insights they need. Collaborate with management and product teams to understand what data analysis they need to understand customers and product usage.
Work in SQL and either Python or R to wrangle and transform data.
Use statistics, including hypothesis testing, to analyze data and assess its quality. Build reports and visualizations using Python or R, Tableau, Mode, and internal tools.
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