Data Analyst
4 days ago
Job Title:
Data Analyst
Location:
Hinjewadi, Pune
Experience:
4 – 6 Years
Employment Type:
Full-time / On-site
Job Summary:
We are seeking an experienced
Data Analyst
to join our dynamic analytics team. The ideal candidate should possess strong analytical skills, hands-on expertise in
HubSpot, R scripting, Python, and cloud platforms (AWS or Azure)
, along with experience in
Data Factory or similar data integration tools
. The role involves designing, maintaining, and optimizing data pipelines, performing detailed analysis, and generating actionable business insights.
Key Responsibilities:
- Extract, transform, and analyze data from multiple sources including HubSpot, databases, and cloud environments.
- Develop and maintain automated data pipelines using
Azure Data Factory
or equivalent tools. - Write efficient
R scripts
and
Python programs
for data processing, analytics, and visualization. - Work with
AWS/Azure
services for data storage, processing, and reporting. - Develop dashboards and reports to communicate findings and insights to business stakeholders.
- Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity.
- Support the continuous improvement of analytics workflows and data governance practices.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Statistics, Data Science, or a related field.
- 4–6 years of experience in Data Analytics or Business Intelligence.
- Proficiency in
HubSpot analytics and reporting tools
. - Strong experience with
R scripting
and
Python
for data analysis. - Working knowledge of
AWS or Azure
cloud environments. - Experience with
Azure Data Factory
or other ETL/data integration tools. - Strong analytical mindset with attention to detail and data accuracy.
- Excellent communication and presentation skills.
Good to Have:
- Familiarity with Power BI, Tableau, or other BI visualization tools.
- Experience with SQL and relational databases.
- Knowledge of data governance and security best practices.
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