🚀
Hiring Now | Data Analyst (0 - 4 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 - 4 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 - 4 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 innovative 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:
info@orvionn.com
. 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!
#Hiring #DataAnalyst #DataAnalytics #SQL #Python #PowerBI #DAX #FreshersJobs #RemoteJobs #IndiaJobs #AnalyticsJobs #TechJobs #CareerOpportunity #HiringNow
