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Job Description & How to Apply Below
Freshers & Experienced Candidates Welcome!
Kickstart your career in Data Analytics and work on real-world data-driven technology solutions with Orvionn .
Job Title:
Data Analyst
Shift: 2:00 PM – 11:00 PM IST
Work Mode: Remote
Location:
Open to candidates across India
Experience:
0–3 Years
About Orvionn
Orvionn is a global technology solutions provider delivering software development and digital transformation services across multiple industries. With expertise in AI-driven and cloud-native architectures , we build scalable, secure, and data-driven digital platforms tailored to our clients' needs.
By leveraging technologies such as Generative AI, real-time data ecosystems, cloud platforms, and Dev Ops , we help organizations modernize their systems, accelerate delivery, and achieve measurable business outcomes. As a private equity-backed company, Orvionn combines the agility of a startup with the dependability of an established technology partner.
About
The Role
We are looking for a Data Analyst to join our team in a full-time remote capacity.
In this role, you will work with structured and unstructured data to generate meaningful insights that support business, product, engineering, and client-facing teams .
You will be responsible for collecting, cleaning, analyzing, and visualizing data, building dashboards and reports, developing data models, and identifying trends and performance drivers.
You will also collaborate with cross-functional stakeholders to translate business requirements into analytical solutions and communicate insights in a clear and actionable manner.
This role provides an opportunity to work with SQL, Python, Power BI, statistics, data modeling, and modern analytics platforms while contributing to data-driven and AI-ready solutions.
Key Responsibilities
• Gather, clean, analyze, and interpret datasets to support business decisions.
• Analyze large datasets to identify trends, patterns, opportunities, and performance drivers .
• Write, optimize, and validate SQL queries across multiple data sources.
• Use Python for data cleaning, transformation, automation, and analysis.
• Perform Exploratory Data Analysis (EDA) and generate meaningful summary statistics.
• Build and maintain Power BI dashboards and reports to track KPIs and business metrics.
• Develop and maintain data models to support analytics and reporting requirements.
• Apply statistical techniques to identify patterns and generate actionable insights.
• Ensure data accuracy, consistency, and integrity through appropriate validation and quality checks.
• Automate repetitive data-related processes using Python scripts and scheduling tools .
• Create clear reports and visualizations for both technical and non-technical stakeholders.
• Collaborate with product, engineering, business, and other cross-functional teams to understand requirements.
• Translate business questions into appropriate analytical frameworks and solutions .
• Document analytical workflows and methodologies using Jupyter Notebooks or similar environments.
• Contribute to improving data foundations and supporting AI-ready data initiatives .
• Present analytical findings and recommendations in a clear, concise, and actionable manner.
️ Nice to Have Skills/Knowledge
Technical Skills
• Strong proficiency in SQL for querying, data manipulation, aggregation, and optimization.
• Hands-on experience with Python for data analysis.
• Knowledge of Python libraries such as Pandas, Num Py, and Matplotlib .
• Strong knowledge of Power BI and dashboard development.
• Understanding of DAX calculations and Power BI data modeling.
• Knowledge of data cleaning, transformation, and preparation techniques.
• Understanding of statistics , including descriptive analysis, hypothesis testing, and regression.
• Experience with relational and/or No
SQL databases .
• Familiarity with Jupyter Notebook or similar notebook environments.
• Understanding of data visualization and data storytelling best practices.
Professional Skills
• Strong analytical and problem-solving abilities.
• High attention to detail and commitment to data…
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