LanceSoft, Inc.
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Birmingham, AL, lasting 3 years with a pay rate of $35-$38.57/hr on W2. Requires 1-3 years of experience in Python, R, SQL, data visualization, ETL processes, and statistical analysis.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
304
-
🗓️ - Date
May 28, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Birmingham, AL
-
🧠 - Skills detailed
#Python #Databases #Libraries #R #Tableau #Predictive Modeling #Data Integration #"ETL (Extract #Transform #Load)" #Matplotlib #Data Analysis #SQL (Structured Query Language) #Visualization #Data Extraction #ML (Machine Learning)
Role description
Job Title: Data Analytics
Location: Birmingham, AL
Duration: 3 Years
Pay Range: $35-$38.57/hr on W2
Description:
1-3 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively. Data Integration and ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling.
Job Title: Data Analytics
Location: Birmingham, AL
Duration: 3 Years
Pay Range: $35-$38.57/hr on W2
Description:
1-3 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively. Data Integration and ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling.
