Data Analyst Bangalore-Data Analyst, SQL, Modern BI or analytics tools, Python, excellent communication, Strong analytical and statistical thinking

Website: questglobal.com
Job details:
Job Requirements

Job Title: Data Analyst having skills in SQL, Modern BI or analytics tools, Python, excellent communication, Strong analytical and statistical thinking

Senior Data Analyst for the Product Team having a consulting attitude, striving to both bolster the evidence used in product team decision-making and proactively identify high value events and interactions within the product. You are technical but at the same time can convey the business meaning behind a sophisticated set of metrics and drive concrete recommendations.

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities

• Collaborate with cross-functional product development teams to identify areas of opportunity and drive value for our internal customers by navigating engagement and transactional data using multiple dashboards, data sources and analytical techniques.
• Act as a data and insights consultant throughout the product development lifecycle in areas such as product discovery, solution design, and experimentation.
• Support product teams in reporting and monitoring of their metrics. Partner closely with internal stakeholders to build intuitive analytics tools, reporting, and custom visualizations.
• Analyse data from various sources to generate comprehensive reports on product operations, identifying performance trends and improvement opportunities.
• Support in design of A/B or percentage roll-out tests to optimize customer experiences and provide insightful recommendations based on test results.
• Foster a culture of continuous learning and improvement.
  
  

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

Mandate Skills: Data Analyst, SQL, Modern BI or analytics tools, Python, excellent communication, Strong analytical and statistical thinking. Also experience working with web, product, and behavioral analytics platforms, with the ability to track, instrument, and interpret customer journeys, adoption gaps, anomalies, funnels, and user engagement data.

Optional Skills: Familiarity with A/B testing concepts, experimentation frameworks, and measurement methodologies.

Detailed JD Info:

Senior Data Analyst for the Product Team having a consulting attitude, striving to both bolster the evidence used in product team decision-making and proactively identify high value events and interactions within the product. You are technical but at the same time can convey the business meaning behind a sophisticated set of metrics and drive concrete recommendations.

Key Responsibilities

• Collaborate with cross-functional product development teams to identify areas of opportunity and drive value for our internal customers by navigating engagement and transactional data using multiple dashboards, data sources and analytical techniques.
• Act as a data and insights consultant throughout the product development lifecycle in areas such as product discovery, solution design, and experimentation.
• Support product teams in reporting and monitoring of their metrics. Partner closely with internal stakeholders to build intuitive analytics tools, reporting, and custom visualizations.
• Analyse data from various sources to generate comprehensive reports on product operations, identifying performance trends and improvement opportunities.
• Support in design of A/B or percentage roll-out tests to optimize customer experiences and provide insightful recommendations based on test results.
• Foster a culture of continuous learning and improvement.
  
  

Qualifications & Requirements

• 4+ years of experience in product or data analytics
• Bachelor’s degree in a quantitative or analytical field such as Business, Mathematics, Statistics, Engineering, Computer Science, Economics, or a related area.
• Strong proficiency in SQL and comfort working with modern data warehouses and cloud‑based data environments.
• Experience working with web, product, and behavioural analytics platforms, with the ability to track, instrument, and interpret customer journeys, adoption gaps, anomalies, funnels, and user engagement data.
• Skilled in building dashboards, reports, and data visualizations using modern BI or analytics tools.
• Familiarity with A/B testing concepts, experimentation frameworks, and measurement methodologies.
• Experience using scripting or programming languages for automation, data processing, or advanced analytics.
• Strong analytical and statistical thinking, with the ability to break ambiguous business problems into structured, actionable analysis.
• Excellent communication skills, with the ability to translate technical findings into clear, actionable insights for diverse audiences.
• Highly organized, detail‑oriented, and effective at managing multiple concurrent workstreams in collaboration with cross‑functional teams.
• Demonstrated ability to work closely with product managers - supporting them with data, driving clarity around success metrics, and influencing product decisions through insights.
• Proven ability to independently deliver high‑quality analysis and recommendations with minimal direction.

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