Data Analyst
We are seeking a highly skilled Data Analyst for a full-time, permanent position open. This role is ideal for candidates who bring a blend of analytical rigor, machine learning knowledge, and data visualization skills, coupled with a strong foundation in Python development and DevOps tools.
You will work closely with data scientists, engineers, and business stakeholders to drive insights, design automated analytics pipelines, and support strategic decision-making through clear, actionable reporting.
Key Responsibilities
Data Analysis & Modeling
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Perform advanced data exploration, cleansing, and statistical analysis using Python and industry-standard libraries (e.g., pandas, NumPy, scikit-learn).
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Develop and deploy machine learning models to solve predictive and classification problems.
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Partner with stakeholders to define KPIs and interpret results in business context.
Visualization & Reporting
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Build interactive dashboards and reports using Power BI to visualize trends and performance metrics.
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Maintain data models and semantic layers for self-service analytics.
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Present data-driven insights to technical and non-technical audiences.
DevOps & Automation
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Collaborate with DevOps teams to implement data pipeline automation, CI/CD for analytics, and containerized deployment of ML models.
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Use Git, Docker, and cloud-native tools (AWS/Azure/GCP) to streamline development and deployment workflows.
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
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3–5+ years of experience as a Data Analyst or similar role.
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Proficient in: Python for data analysis and ML (pandas, scikit-learn, matplotlib, etc.), Machine Learning fundamentals and application, Power BI dashboard/report development, DevOps tools such as Docker, Git, CI/CD pipelines
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Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, or similar).
Preferred Skills
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Experience working on government, federal, or DoD-related projects.
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Knowledge of cloud services like AWS S3, Azure Data Factory, or Google BigQuery.
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Familiarity with MLOps tools and model monitoring.
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Certification in Microsoft Power BI, AWS, or DevOps tools is a plus.
What We Offer
- No fresher please
- Work from Office
Willing to learn candidate will get additional advantage from company and industrial experts.
If you feel that you fit to for this profile, you can e-mail us your resume with previous work portfolio at hr@webkrit.com with passport size photo and complete education details with date of birth.
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