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Qubixora Technologies is seeking a skilled Data Analyst to join its team in India. In this role, you will be responsible for collecting, cleaning, and analyzing large datasets to provide actionable insights that influence business decisions. You should have a strong command of Excel and SQL, along with experience in data visualization tools like Power BI and Tableau.
Join a collaborative environment where you can contribute to impactful projects and enjoy opportunities for career growth and innovation.
Qubixora Technologies is a fast-growing technology solutions provider that helps businesses make smarter, data-driven decisions through innovation, analytics, and automation. We believe in turning raw data into powerful insights that drive strategic growth. Our diverse team of technologists, analysts, and innovators is dedicated to delivering excellence and precision in everything we do.
We are now looking for a skilled and detail-oriented Data Analyst to join our dynamic team. If you have a passion for numbers, a sharp analytical mind, and an eagerness to turn complex data into actionable insights, this is the perfect opportunity for you.
Company: Qubixora Technologies
Location: India (Remote/On-site)
Job Type: Full-Time
Experience Level: Entry to Mid-Level
As a Data Analyst at Qubixora Technologies, you will play a critical role in helping our business teams make informed decisions based on reliable data insights. You will be responsible for collecting, cleaning, and analysing large datasets from multiple sources, and transforming them into clear and meaningful visualisations.
Your work will directly influence business strategies, operational improvements, and client outcomes. This is an exciting opportunity to apply your analytical expertise in a company that values innovation, collaboration, and data excellence.
Data Collection & Cleaning: Gather, clean, and organise large data sets from diverse sources to ensure data accuracy and completeness.
Analysis & Reporting: Analyse data trends and patterns using advanced statistical techniques to identify actionable insights.
Dashboard Development: Create and maintain interactive dashboards, reports, and visualisations using tools like Power BI, Tableau, or Google Data Studio.
Collaboration: Work closely with management and cross-functional teams to identify data needs and support strategic business initiatives.
Process Improvement: Define and implement data collection, processing, and analysis best practices to enhance efficiency and accuracy.
Data Integrity: Ensure consistency and accuracy of data across all business intelligence tools and databases.
Insight Presentation: Present data findings and reports in a clear, visual, and impactful manner to both technical and non-technical stakeholders.
Strong command of Excel and SQL for data management, querying, and analysis.
Experience using data visualisation tools such as Tableau, Power BI, or Google Data Studio.
Understanding of statistical analysis methods and data interpretation techniques.
Basic knowledge of Python or R for data cleaning and manipulation (preferred but not mandatory).
Excellent analytical, problem-solving, and critical thinking skills.
Strong communication and presentation skills with the ability to explain technical information clearly.
Attention to detail and commitment to data accuracy.
Educational Qualification:
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
Experience:
Prior internship or full-time experience in data analytics, business analysis, or reporting will be an advantage.
Innovative Work Environment: Work with cutting-edge technologies in analytics, automation, and AI.
Career Growth: Opportunity to upskill, earn certifications, and grow within the company’s analytics ecosystem.
Collaborative Culture: Work with a supportive and passionate team of professionals who value learning and creativity.
Impactful Projects: Contribute to projects that shape strategic business decisions and deliver measurable impact.
Flexible Work Setup: Depending on project requirements, remote and hybrid options may be available.
This role is perfect for:
Fresh graduates or early-career professionals looking to start or grow in data analytics.
Individuals passionate about problem-solving, data visualisation, and business intelligence.
Professionals who enjoy working in dynamic environments and are eager to learn modern analytics tools.