Senior Data Analyst
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Job Summary
About Us:
We operate with:
Integrity and doing business the right way
Continuous innovation in AI and service intelligence
Customer obsession with real measurable impact
Collective intelligence through collaboration and knowledge sharing
Role Overview
We are looking for an experienced Senior Data Analyst with 4 years of hands-on experience in data analytics business intelligence and data-driven problem-solving. The ideal candidate should have strong expertise in SQL Python and Power BI/Tableau along with the ability to work with complex datasets and translate business requirements into meaningful insights. This role requires strong analytical thinking stakeholder engagement and the ability to independently own analytical initiatives from requirement gathering through analysis visualization and presentation of recommendations.
Key Responsibilities
Analyze large and complex datasets to identify trends patterns business opportunities and actionable insights.
Own analytical projects end-to-end including requirement gathering data source integration data extraction and orchestration data transformation and preparation analysis dashboard development visualization and stakeholder presentation.
Design develop and maintain scalable dashboards and reports using Power BI and/or Tableau.
Write advanced and optimized SQL queries for data extraction transformation validation analysis and automation of recurring data workflows and reporting processes.
Use Python for data analysis automation data manipulation and advanced analytical tasks.
Perform data cleaning transformation validation and quality checks to ensure accuracy and consistency.
Build and maintain data models to support reporting and business analytics requirements.
Work closely with business teams clients and cross-functional stakeholders to understand requirements and translate them into analytical solutions.
Present complex data insights and recommendations to technical and non-technical stakeholders in a clear and concise manner.
Identify opportunities to automate recurring reports and manual analytical processes.
Perform ad-hoc analysis to support business decisions and solve complex business problems.
Define and establish meaningful KPIs and business metrics aligned with organizational goals including metric definitions calculation methodologies and measurement frameworks and track performance to identify trends opportunities and areas for improvement.
Mentor junior analysts and contribute to analytics best practices across the team
Required Skills & Qualifications
4 years of experience in data analytics business intelligence or related field.
Strong hands-on experience with:
SQL advanced querying joins aggregations and query optimization.
Python data analysis and manipulation using libraries.
Power BI and/or Tableau dashboard development reporting data visualization and data quality checks.
Define and implement data quality checks validation rules reconciliation processes and monitoring to ensure the reliability and accuracy of analytical datasets.
Strong understanding of data modeling data cleaning transformation and data validation techniques.
Experience working with large complex structured and unstructured datasets.
Good understanding of statistical analysis and data visualization best practices.
Experience defining and tracking business metrics and KPIs.
Ability to independently analyze business problems and recommend data-driven solutions.
- Strong analytical debugging and problem-solving skills.
Soft Skills
Strong client engagement and stakeholder management skills.
Excellent analytical and problem-solving abilities.
Strong written and verbal communication skills.
Ability to present data and insights effectively to technical and non-technical stakeholders.
Ability to work independently while collaborating effectively with cross-functional teams.
Strong attention to detail ownership and time-management skills.
Preferred Qualifications Good to Have
Strong understanding of data quality validation reconciliation monitoring and exception management to ensure accuracy and reliability of analytical datasets.
Hands-on experience with ETL/ELT and data integration tools such as Talend including data extraction transformation orchestration and pipeline automation.
Understanding of Master Data Management (MDM) data governance data lineage metadata management and data management best practices.
Experience with data profiling cleansing transformation and integration of data from multiple sources into analytics-ready datasets.
Strong knowledge of advanced analytics techniques including trend analysis forecasting segmentation predictive analytics and defining meaningful business metrics and KPIs.
Familiarity with prompt engineering AI-assisted analytics or natural-language-to-SQL use cases is a plus.
Location: Bangalore (flexible hybrid working)
What We Do and Value:
Company Perks & Benefits:
Competitive salary equity and spot bonuses.
Paid Time-off.
Comprehensive health insurance.
Paid parental leave.
Flexible Hybrid work.
Our Commitment to Diversity and Inclusion:
If youre excited about using data to drive service intelligence and want to be part of a forward-thinking team wed love to hear from you!
Required Experience:
Senior IC
About Company
Resolve issues faster, the first time, in complex service environments with Service AI Solutions that learn from your data and people to deliver accurate, turn-by-turn guidance.
