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Multiple mid-level data skill requirements, Bangalore metro, and broad toolset make candidate competition high.
Core data engineering and analytics skills are transferable across industries, though specific tools and domain knowledge moderately matter.
Explicit 5+ years requirement plus specific tools (Alteryx, Knime, Tableau, SQL, Python, cloud) raises strictness.
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Lead design and implementation of scalable data architectures supporting business intelligence and analytics.
Develop and optimize data processing pipelines and ensure data quality, integrity, and compliance across projects.
Mentor and manage junior data analysts and collaborate with cross-functional teams to deliver analytical solutions.
Minimum 5 years of professional experience in data analytics or related fields.
At least 3 years of hands-on experience creating data architecture designs and implementations.
Advanced proficiency with Alteryx, Knime, SQL, Python, and data visualization tools (Tableau, ThoughtSpot, etc.).
Willingness to work 2nd shift (3:00 PM to 12:00 AM IST) and minimum 3 days per week from Bangalore office.
Experienced in cloud-based data platforms such as AWS, RedShift, Snowflake, or GCP with strong programming skills.
Demonstrated ability to manage and mentor junior team members and collaborate with technical product managers in agile environments.
Familiar with AI/LLM tools (Claude code, Copilot), R programming, and hold relevant data analytics or business intelligence certifications.