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Data Analyst - Business Intelligence

Aspire Talent Innovations
4 - 5 Years
Chandigarh

Posted on: 07/09/2026

Job Description

Job Description - Data Analyst:

Position: Data Analyst

Experience: 4 - 5 Years

Location: Chandigarh

Work Mode: Work From Office (Onsite)

Employment Type: Full-Time

About the Role:

We are looking for an experienced Data Analyst with 4 - 5 years of hands-on experience in data analysis, business intelligence, reporting, and data-driven insights.

The ideal candidate should have strong analytical and technical skills along with excellent communication skills and prior experience working directly with US customers/stakeholders. This role requires someone who can independently participate in customer discussions, understand business requirements, analyze data, and clearly communicate insights and recommendations.

Key Responsibilities:

- Analyze large and complex datasets to identify trends, patterns, anomalies, and business opportunities.

- Work closely with US customers and stakeholders to understand business requirements and translate them into analytical solutions.

- Participate directly in customer-facing calls and communicate findings, insights, and recommendations.

- Develop and maintain reports, dashboards, and data visualizations using BI tools.

- Write complex and optimized SQL queries to extract, transform, and analyze data.

- Work with data from multiple sources, including databases, data warehouses, and data lakes.

- Perform data validation, reconciliation, and quality checks to ensure accuracy and consistency.

- Translate business requirements into meaningful metrics, KPIs, dashboards, and analytical reports.

- Identify data quality issues and work with Data Engineering and Product teams to resolve them.

- Collaborate with Product, Engineering, Data Engineering, and Customer-facing teams.

- Prepare ad-hoc analysis and reports based on customer and business requirements.

- Present analytical findings to technical and non-technical stakeholders.

- Document business logic, KPIs, data definitions, and analytical processes.

- Contribute to improving reporting, analytics, and data-driven decision-making processes.

- Leverage AI-assisted analytical tools responsibly while validating outputs and ensuring data accuracy and security.

Must-Have Skills & Experience:

- 4 - 5 years of professional experience as a Data Analyst / Business Data Analyst / BI Analyst.

- Strong hands-on experience with SQL.

- Strong understanding of relational databases and data warehousing concepts.

- Experience with Data Analysis, Data Visualization, Reporting, and Dashboard Development.

- Experience working with Power BI, Tableau, or similar BI tools.

- Strong understanding of KPIs, metrics, business reporting, and analytical methodologies.

- Experience with data validation, reconciliation, and quality checks.

- Good understanding of ETL/ELT and data pipelines.

- Experience working with large datasets and multiple data sources.

- Strong analytical and problem-solving skills.

- Excellent written and verbal English communication skills.

Customer-Facing Experience - Mandatory:

- Prior experience working directly with US customers/stakeholders is mandatory.

- Must be comfortable participating in and leading customer-facing discussions and calls.

- Excellent English communication and presentation skills.

- Ability to understand customer requirements and convert them into clear analytical requirements.

- Ability to explain data, reports, dashboards, and insights to both technical and non-technical audiences.

- Comfortable handling customer questions, follow-ups, and requirement clarification independently.

- Strong stakeholder management and interpersonal skills.

Good to Have:

- Experience in FinTech, Mortgage, Banking, or Financial Services.

- Experience working with MongoDB or other NoSQL databases.

- Exposure to Python/Pandas for data analysis.

- Knowledge of AWS data services.

- Understanding of Apache Spark or modern data platforms.

- Experience with data lakes and modern data architecture.

- Knowledge of data governance, lineage, and data quality frameworks.

- Experience working with US mortgage/lending data is an added advantage.

Ideal Candidate:

We are looking for a hands-on Data Analyst who combines strong SQL and analytical skills with excellent customer-facing communication. The candidate should be comfortable working directly with US customers, understanding their business problems, analyzing data, and presenting actionable insights.

Benefits:

- Competitive compensation

- Opportunity to work on modern data and analytics technologies

- Exposure to AI-driven FinTech and mortgage analytics

- Direct interaction with US customers and stakeholders

- Opportunity to work with a modern cloud data platform

- Collaborative and growth-oriented work environment

Important:

This is a Chandigarh-based Work From Office role. US customer-facing experience and excellent communication skills are mandatory.

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