? Hiring Now | Data Analyst (0–3 Years Experience)

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 DevOps , 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, NumPy, 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 NoSQL 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 accuracy.
- Ability to translate business requirements into analytical solutions.
- Strong written and verbal communication skills.
- Ability to explain complex data insights to technical and non-technical audiences.
- Ability to work independently as well as collaboratively with cross-functional teams.

• Comfortable working in the 2:00 PM – 11:00 PM IST shift.

⭐ Good to Have

• Experience with Microsoft Fabric or other cloud-based analytics platforms.

- Exposure to AI, data engineering, or real-time data ecosystems.

? Education & Experience

• Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Engineering , or a related field is preferred.

• 0–3 years of experience in Data Analytics, Data Operations, Implementation, Onboarding, or related roles.

- Freshers with strong fundamentals, relevant projects, internships, or certifications are encouraged to apply.

? What We Offer

At Orvionn, we believe that when our people grow, our company grows with them.

Here’s what you can expect:

✨ Opportunities to work on meaningful, real-world technology solutions

? A collaborative and inclusive culture where ideas are valued

? Continuous learning and career development opportunities

? Opportunities to work with modern technologies and cutting-edge solutions

? The opportunity to make an impact within the company and the wider community

? Competitive compensation and benefits based on your skills and experience

? How to Apply

Interested in building your career in Data Analytics with Orvionn?

? Send your updated resume and portfolio (if available) to: [email protected] . You can also apply directly through the LinkedIn job posting .

? Freshers and candidates with relevant projects are encouraged to apply.

Know someone who could be a great fit? Tag them or share this opportunity with your network!



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📌 Data Analyst (Maharashtra)
🏢 Orvionn
📍 Maharashtra