QBYSS is hiring for an FRESHER entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• QBYSS

Location:

• India

Job type:

• Full-time

Job mode:

• Remote

Job requisition id:

• Not Specified in the original JD

Years of experience:

• 0-2 years (Fresher / Entry Level)

Company description

• QBYSS is a pioneering UK-based technology firm specializing in revolutionary power conversion innovations.

• The company actively focuses on transforming traditional, legacy power architectures into fully programmable, software-defined solutions.

• By combining cutting-edge digital power software with advanced hardware electronics, QBYSS delivers real-time power control systems.

• Their state-of-the-art power conversion technologies optimize electrical efficiency while substantially lowering operational energy waste.

• QBYSS operates across a wide spectrum of sectors including commercial electronics, medical devices, military applications, and data infrastructure.

• Their proprietary digital power architecture delivers ultra-high energy efficiency, superior reliability, and compact system footprints.

• Driven by a team with over 35 years of specialized domain expertise, QBYSS continuously expands its dynamic patent portfolio.

• The company aims to establish a global presence, setting new performance standards across the entire power industry.

• By minimizing component requirements and extending product longevity, QBYSS accelerates the transition toward sustainable energy management.

• Overall, QBYSS remains dedicated to tackling complex electrical engineering challenges while supporting green technology transitions worldwide.

Profile overview:

• The Data Analyst position at QBYSS serves as a foundational analytical role bridging raw operational datasets with strategic organizational insights.

• In this full-time remote opportunity based in India, the candidate will work closely with cross-functional engineering, operations, and commercial teams.

• The primary mission of this role involves transforming complex quantitative metrics into actionable business intelligence that drives decision-making.

• You will take active ownership of gathering, structuring, and maintaining core datasets sourced across diverse organizational pipelines.

• A major focus of the day-to-day workflow centers on performing deep-dive quantitative investigations to identify underlying trends, anomalies, and operational benchmarks.

• The candidate will design, refine, and deploy automated spreadsheets, interactive dashboard displays, and structured summary reports for executive leadership.

• Ensuring absolute data integrity and establishing clear analytical methodology documentation will be core ongoing responsibilities for the analyst.

• You will regularly interact with subject matter experts to establish meaningful quantitative Key Performance Indicators (KPIs) tailored to specific technological goals.

• By contextualizing complex empirical evidence, you will help non-technical stakeholders distinguish proven numerical facts from arbitrary business assumptions.

• Early-career professionals, recent university graduates, and enthusiastic entry-level applicants with strong analytical foundations are strongly encouraged to join.

• Candidates will gain extensive hands-on experience working with heterogeneous datasets spanning industrial technology, corporate operations, and customer analytics.

• This role provides a high-impact platform to see your quantitative findings directly shape real-world engineering developments and market strategy.

• Successful team members will demonstrate a passion for problem-solving, continuous skill expansion, and relentless attention to detail across all tasks.

• Ultimately, the candidate will play an essential role in establishing a data-driven culture throughout QBYSS’s global technology network.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Information Technology, Mathematics, Statistics, Engineering, or a related quantitative field.

• Exceptional proficiency in utilizing Microsoft Excel or Google Sheets for advanced data modeling, dynamic reporting, and formula calculations.

• Strong background in mathematical reasoning, numerical computation, analytical logic, and quantitative problem-solving methodologies.

• High level of attention to detail with proven ability to maintain rigorous data precision across complex analytical projects.

• Demonstrated capacity to interpret analytical findings logically and separate underlying factual evidence from qualitative assumptions.

• Hands-on experience delivering structured data analysis projects, relevant academic coursework, or preliminary professional internship experience.

• Ability to synthesize raw quantitative output into clear, digestible executive summaries and structured presentations for technical and non-technical audiences.

• Working understanding of fundamental relational database structures, data hygiene workflows, and primary dataset validation techniques.

• Familiarity with structured analytical problem-solving models, exploratory data evaluation techniques, and data transformation frameworks.

• Excellent written and verbal communication skills needed to present analytical conclusions clearly across international remote teams.

• Proactive willingness to learn new software applications, open-source technology tools, and digital power management domains quickly.

• Demonstrated capacity to manage time effectively, meet strict documentation deadlines, and maintain accountability in a remote environment.

• Strong collaborative mindset suitable for working alongside cross-functional engineering teams, operational leads, and business managers.

• Understanding of core metric definitions, variance tracking, operational benchmarking, and standard performance monitoring dashboards.

• Passion for leveraging quantitative analytics to optimize business processes, operational efficiency, and overall organizational performance.

Additional info:

• Optional familiarity with Relational Database Management Systems using Structured Query Language (SQL) for extracting and querying large datasets.

• Desirable background or coursework in Python programming for automation, scripting, and exploratory data analysis tasks.

• Preferred exposure to modern Business Intelligence and dashboard building tools such as Microsoft Power BI, Tableau, or Google Looker Studio.

• Experience analyzing technical, commercial, operational, or hardware engineering datasets is considered a significant plus for candidates.

• Early-career candidates and recent university graduates seeking an entry point into the international data analytics field are fully welcome.

• QBYSS operates as a distributed, modern remote-first work environment offering flexibility alongside global professional collaboration opportunities.

• Employees enjoy exposure to cutting-edge clean-technology innovations that directly impact global power conversion efficiency standards.

• The company emphasizes ongoing professional growth, offering exposure to diverse datasets spanning proprietary software, hardware engineering, and business metrics.

• Joining QBYSS offers an opportunity to actively participate in building sustainable, energy-efficient technological infrastructures worldwide.

• Candidates will benefit from a collaborative environment that values continuous learning, constructive feedback, and direct strategic impact.

• The organization fosters an inclusive cultural environment that encourages fresh ideas, original problem-solving approaches, and data-backed innovation.

• Team members gain direct access to mentorship from experienced industry pioneers boasting decades of leadership in high-tech product design.

• Working with QBYSS means contributing to technologies designed to minimize carbon footprints across global data centers and electric vehicles.

• The onboarding process includes comprehensive orientation on QBYSS's proprietary Digital Power software, product line architectures, and reporting expectations.

• This entry-level role opens structured pathways for career progression into advanced analytics, business intelligence management, or technical data engineering.

Please click here to apply.