Data Analyst - India (2026)
Artefact- Location
- Pune, Maharashtra, India
- Workplace
- —
- Employment
- —
- Salary
- —
Posted 24d ago
Job Description - Data Analyst
Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re
enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all
Artefact's offers (and more)
data marketing, data governance, strategy consulting, product owner…
- What you will be doing?
As a Data Analyst, your key responsibilities revolve around utilizing Python and SQL
for data manipulation and analysis, coupled with leveraging visualization tools such
as Tableau, PowerBI, and Web Applications to present insights effectively. Your
primary duties include
Data Analysis
Employing Python and SQL to extract, clean, and analyze data to derive actionable insights.
Visualization Techniques
Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective
communication.
Statistical Understanding
Applying statistical concepts and understanding data structures to interpret data patterns and trends accurately.
- What we are looking for?
Technical Expertise
- Proficiency in Python, SQL, and data manipulation for analysis purposes.
- Experience in data visualization tools such as Tableau, PowerBI, and Web Applications for creating interactive and informative dashboards.
- Solid understanding of statistics and data structures for accurate data interpretationProven problem-solving skills and a solution-oriented mindset.
Attitude & Soft Skills
Excellent communication skills to collaborate effectively within teams and with stakeholders.
Strong business acumen with an interest in business-facing roles.
Adaptability and a start-up mentality to thrive in a dynamic environment.
Skills
- Python
- SQL
- Tableau
- Power BI
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