Data Analyst

Bengaluru, India

Full Time Mid-level / Intermediate USD 35K - 65K *

Increasingly

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Posted 21 hours ago

Company Description

About DataArt

Founded in 1997, DataArt is a global software engineering firm and a trusted technology collaborator for market leaders and visionaries. Guided by the People-first principle, our world-class team designs and engineers data-driven, cloud-native solutions that foster progress and deliver immediate and enduring business value.

• 5700 professionals
• 20+ countries
• 30+ locations
• 87% employee retention
• 31% women
• 48% senior-level professionals
• 34% of new colleagues join us through recommendations.
• Glassdoor review score — 4.6

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth. We build a diverse community that attracts—and retains—the best talent worldwide.

Job Description

Design and maintain Tableau dashboards to provide actionable business insights
Define key metrics and KPIs, identifying the levers that drive them
Understand the platform architecture and identify opportunities for optimization
Develop and maintain data pipelines and dashboards that track the performance and usage of APIs, ensuring real-time visibility into operational metrics
Investigate platform issues, identify root causes, and provide insights to inform the product roadmap
Equip team members with the necessary tools, reports, and guidance to leverage insights and make informed decisions
Promote best practices in analytics techniques across the organization's technology stack

Qualifications

2-4 years of experience in data analysis or related field
Proficiency in SQL, Python, or R for data manipulation and analysis
Experience with data visualization tools such as Tableau or Power BI
Strong statistical analysis skills and understanding of statistical methods
Advanced Excel skills, including pivot tables and VBA
Expertise in data mining, data cleansing, and data quality control techniques
Understanding of business intelligence and data warehousing concepts
Bachelor's degree in Statistics, Mathematics, Computer Science, or related field