Position:
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Data Analyst
Company:
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Biblioso
Location:
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Bengaluru, Karnataka, India
Job type:
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Full-time
Job mode:
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Hybrid
Job requisition id:
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Not explicitly mentioned
Years of experience:
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Entry-level (0-3 years suggested based on applicant profile)
Company description:
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Biblioso is an engineering services and IT consulting firm that began over a decade ago with a focus on supporting businesses in the Pacific Northwest.
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Initially centered around documentation and consulting projects, the company has since expanded to offer a wide array of services across managed IT, engineering, and global consulting.
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With a team strength between 201 and 500 employees, Biblioso provides tailored technical solutions for companies across industries, while emphasizing high-quality customer service.
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Its global delivery model allows it to manage services for clients across various geographies, ensuring that clients benefit from expert insights and efficient execution.
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Biblioso’s culture values long-term partnerships, collaborative growth, and continuous improvement through innovation and dedication to solving complex technical problems.
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Their strategic vision includes driving client satisfaction and scalability by offering flexible engagement models and responsive support.
Profile overview:
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The Data Analyst role at Biblioso is an ideal entry-level opportunity for freshers or early-career professionals who want to apply their data and coding skills in a real-world business environment.
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The role focuses on a combination of automation development, data analysis, hardware diagnostics, and collaborative problem-solving within a hybrid work setup.
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The individual will be responsible for running automated validation scripts using Python and querying data with Kusto or SQL to support performance dashboards via Power BI.
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It also includes working with cross-functional teams to interpret hardware specs and system logs, enabling issue resolution in storage and memory devices like SSDs, HDDs, HBAs, and DIMMs.
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This position suits someone with a keen eye for detail, who enjoys debugging hardware systems and is comfortable learning new analytical tools and hardware platforms.
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Excellent communication skills, a positive attitude toward teamwork and learning, and a proactive mindset are key to success in this position.
Key Responsibilities:
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Develop and execute Python-based automation scripts to validate hardware functionalities efficiently.
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Use Kusto Query Language or SQL to handle large datasets for the purpose of debugging and automation.
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Build and maintain Power BI dashboards to visualize and communicate testing and validation data.
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Investigate issues in hardware systems including SSDs, HDDs, HBAs, and DIMMs, identifying root causes and suggesting corrective actions.
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Collaborate with hardware engineering teams to understand device specifications and project requirements.
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Document debugging procedures, outcomes, and technical findings in detail to facilitate future reference and troubleshooting.
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Contribute to the creation of diagnostic frameworks and ensure compliance with hardware validation standards.
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Stay updated with recent advancements in storage technologies, debugging protocols, and industry best practices.
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Participate in sprint planning meetings and contribute ideas for continuous improvement of automation and analysis pipelines.
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Review and refactor existing Python codebases to improve maintainability and performance.
Qualifications:
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A degree in Computer Science, Electrical Engineering, or another technical field forms the educational foundation for this role.
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Strong problem-solving capabilities with a structured and logical approach to debugging and troubleshooting.
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Hands-on experience or strong theoretical understanding of platform-level or system-level hardware debugging.
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Knowledge of SSDs, HDDs, HBAs, DIMMs, or other storage/memory devices is an added advantage.
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Proficiency in Kusto Query Language or SQL for data querying and automation script creation.
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Ability to write clean, efficient Python code that supports scalability and reusability.
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Familiarity with hardware validation tools, testing setups, and scripting frameworks used in device diagnostics.
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Comfort working independently and as part of a collaborative engineering team to meet shared objectives.
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Strong communication skills, with the ability to convey technical issues and solutions clearly to both technical and non-technical stakeholders.
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Curiosity to explore new hardware domains and enthusiasm for solving system-level engineering problems.
Additional info:
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This role attracts applicants primarily from the entry-level category, with the majority having a Bachelor's degree in related fields.
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It is well-suited for those looking to work in a hybrid environment, balancing on-site collaboration with remote flexibility.
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Biblioso encourages innovation and initiative, especially in the areas of automation, analytics, and hardware validation.
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Candidates who are self-driven and have a passion for hardware systems and analytics are likely to thrive in this setting.
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Exposure to enterprise-level hardware devices and debugging tools makes this an excellent stepping stone for growth in system validation or hardware analytics roles.
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The company culture fosters a healthy mix of autonomy and teamwork, where employees are expected to take ownership of their work while also contributing to team goals.
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Biblioso has shown consistent growth over the past two years, signaling a stable and expanding organization with future growth potential.
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Joining this role provides an opportunity to gain hands-on experience with cutting-edge technologies and make meaningful contributions to hardware reliability efforts.
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The job listing has attracted high interest with over 100 applicants in less than 24 hours, indicating that candidates should apply promptly.
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While the requisition ID isn’t stated, applicants are encouraged to tailor their resumes to highlight Python scripting, data querying, and hardware testing familiarity.
Please click here to apply.
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