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Seeking a skilled Data Analyst to join a growing team and help drive data-driven decision-making. The ideal candidate has a strong analytical mindset, proficiency in Python, SQL, and cloud technologies, and experience working with APIs to extract and manipulate data. You will collaborate with cross-functional teams to analyze complex datasets, develop reports, and provide actionable insights to support business objectives.
Job Responsibility:
Collect, clean, and analyze large datasets from various sources, including databases, APIs, and cloud platforms
Write efficient SQL queries to extract, transform, and load data for analysis and reporting
Utilize Python for data manipulation, statistical analysis, and visualization
Work with cloud platforms (e.g., AWS, Azure, or GCP) to manage and process large-scale data
Automate data collection and analysis processes using scripts and API integrations
Collaborate with stakeholders to define key performance indicators (KPIs) and deliver data-driven insights
Ensure data integrity, accuracy, and security across all analytics processes
Communicate findings effectively through presentations, reports, and visualizations
Requirements:
Proven experience as a Data Analyst or in a similar analytical role
Proficiency in SQL for querying and managing relational databases
Strong programming skills in Python, including libraries like Pandas, NumPy, and Matplotlib
Experience working with cloud-based data solutions (AWS, Azure, or Google Cloud)
Familiarity with API integration for data extraction and automation
Knowledge of ETL processes, data pipelines, and data warehousing concepts
Experience with data visualization tools (Power BI, Tableau, Looker, etc.)
Strong problem-solving skills and attention to detail
Excellent communication and ability to translate data insights into business recommendations
What we offer:
Medical, vision, dental, and life and disability insurance
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