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Data Analyst Expert

Weekday AI

Bengaluru, Karnataka, India permanent

Posted: April 6, 2026

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Quick Summary

Data Analyst Expert is a role that requires a Data Analyst Expert to shape product strategy by leveraging data-driven insights and working closely with multiple teams to improve data pipeline and product features. The ideal candidate will have 2 years of experience in a similar role and be skilled in data analysis, data visualization, and communication.

Job Description

This role is for one of the Weekday's clients

Min Experience: 2 years

Location: Bengaluru

JobType: full-time

We are looking for skilled and creative Data/Product Analysts to become part of our team. The successful candidate will be instrumental in guiding product strategy by leveraging data-driven insights and working closely with multiple teams to improve our data pipeline and product features.


Requirements:
Key Responsibilities

• Shaping Product Direction
• Dive deep into existing data to uncover trends and spot exciting opportunities for new features and enhancements
• Craft and deploy advanced analytical models that steer our product strategy with precision
• Deliver insightful, data-driven recommendations that empower stakeholders and leadership to make confident decisions

• Mastering Data Analysis and Visualization
• Leverage sophisticated SQL techniques to tackle complex datasets and extract meaningful insights
• Build comprehensive reports and dynamic visualizations using cutting-edge tools like Redash
• Create and sustain intuitive dashboards that keep a pulse on critical performance metrics

• Gathering and Communicating Data Requirements
• Act as the go-to data expert during customer engagements, expertly resolving challenging data-related questions
• Translate complex technical insights into clear, accessible language for non-technical audiences
• Partner closely with customer success teams to identify and swiftly address data concerns

• Enhancing Data Pipelines
• Collaborate with software developers to spot opportunities for improving our data pipeline
• Innovate and implement new data collection strategies that align with and boost our product initiatives
• Maintain rigorous standards to ensure data quality and integrity across the entire pipeline

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