Data Analyst
Job in
Birmingham, Jefferson County, Alabama, 35275, USA
Listed on 2026-05-30
Listing for:
Brooksource
Full Time
position Listed on 2026-05-30
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Data Engineer
Job Description & How to Apply Below
Data Analyst
Location:
Birmingham, AL
Experience Level: 1–3 Years
OverviewWe are seeking a detail-oriented and analytical Data Analyst / Junior Data Scientist to join our client's growing team. This individual will support data-driven decision-making by collecting, transforming, analyzing, and visualizing data from a variety of sources. The ideal candidate has hands-on experience with statistical analysis, ETL processes, and data visualization tools, along with a strong foundation in Python, R, and SQL.
Key Responsibilities- Analyze large and complex datasets to identify trends, patterns, and actionable insights.
- Develop and maintain dashboards, reports, and visualizations using tools such as Tableau, Matplotlib, and Seaborn.
- Perform data extraction, transformation, and loading (ETL) processes across multiple data sources and databases.
- Write efficient SQL queries to retrieve and manipulate data for reporting and analysis.
- Conduct statistical analysis and hypothesis testing to support business initiatives and strategic decisions.
- Apply machine learning techniques and predictive modeling methods to solve business problems and improve forecasting capabilities.
- Collaborate with cross-functional teams to understand data needs and deliver analytical solutions.
- Ensure data quality, accuracy, and integrity throughout the analytics lifecycle.
- Document processes, methodologies, and findings for technical and non-technical stakeholders.
- 1–3 years of experience in data analytics, business intelligence, data science, or a related field.
- Proficiency in Python, R, and SQL.
- Experience with data visualization libraries and tools such as Matplotlib, Seaborn, and Tableau.
- Knowledge of ETL processes and working with structured and unstructured data sources.
- Understanding of statistical analysis, hypothesis testing, and predictive modeling concepts.
- Familiarity with machine learning techniques and analytical methodologies.
- Strong analytical thinking and problem-solving skills.
- Excellent communication skills with the ability to present technical findings clearly.
- Experience working with cloud platforms or modern data environments.
- Familiarity with data warehousing concepts and relational databases.
- Exposure to business intelligence or reporting environments.
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
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