Programmers.io
Responsibilities
Data Analysis & Insights:
Conducted in-depth analysis of large datasets to identify trends, patterns, and actionable insights, driving data-informed decision-making.
Python Programming:
Utilized Python for data cleaning, transformation, and analysis, leveraging libraries like Pandas, NumPy, and Matplotlib for efficient data manipulation and visualization.
Data Visualization:
Created interactive dashboards and visualizations using tools like Tableau, Power BI, and Python-based libraries (e.g., Seaborn, Plotly) to communicate findings effectively to stakeholders.
Database Management:
Extracted, processed, and analyzed data from SQL/NoSQL databases, ensuring data integrity and accuracy.
Automation & Scripting:
Developed Python scripts to automate repetitive tasks, streamline workflows, and improve operational efficiency.
Statistical Analysis:
Applied statistical techniques (e.g., regression, hypothesis testing) to solve business problems and validate findings.
Collaboration:
Partnered with cross-functional teams to understand business needs, define KPIs, and deliver data-driven solutions.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Business Development
Industries IT Services and IT Consulting
Location Dallas, TX
#J-18808-Ljbffr
Data Analysis & Insights:
Conducted in-depth analysis of large datasets to identify trends, patterns, and actionable insights, driving data-informed decision-making.
Python Programming:
Utilized Python for data cleaning, transformation, and analysis, leveraging libraries like Pandas, NumPy, and Matplotlib for efficient data manipulation and visualization.
Data Visualization:
Created interactive dashboards and visualizations using tools like Tableau, Power BI, and Python-based libraries (e.g., Seaborn, Plotly) to communicate findings effectively to stakeholders.
Database Management:
Extracted, processed, and analyzed data from SQL/NoSQL databases, ensuring data integrity and accuracy.
Automation & Scripting:
Developed Python scripts to automate repetitive tasks, streamline workflows, and improve operational efficiency.
Statistical Analysis:
Applied statistical techniques (e.g., regression, hypothesis testing) to solve business problems and validate findings.
Collaboration:
Partnered with cross-functional teams to understand business needs, define KPIs, and deliver data-driven solutions.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Business Development
Industries IT Services and IT Consulting
Location Dallas, TX
#J-18808-Ljbffr