GoTymeX
GoTymeX is hiring a Data Analyst for a full-time, hybrid role in Bengaluru, Karnataka. This opportunity is suited to professionals with 2+ years of experience in financial services, fintech, or banking who have strong SQL, Python or PySpark, statistical analysis, and data visualization skills.
The selected candidate will collaborate with teams across the business to analyze customer behavior, improve reporting, monitor business performance, and translate complex datasets into actionable insights.
Job Overview
| Details | Information |
|---|---|
| Company | GoTymeX |
| Job Title | Data Analyst |
| Location | Bengaluru, Karnataka, India |
| Work Mode | Hybrid |
| Employment Type | Full-time |
| Experience Required | 2+ years in financial services, fintech, or banking |
| Industry | Fintech, Banking, Financial Services |
| Key Skills | SQL, Python/PySpark, Databricks, Statistics, BI Tools |
| Application Mode | LinkedIn Easy Apply |
About GoTymeX
GoTymeX is recruiting a Data Analyst to strengthen its data-driven decision-making capabilities. The role focuses on making data accurate, accessible, and useful for business teams while supporting analytical reporting and strategic planning.
The position combines technical data analysis with business partnership, requiring the ability to understand stakeholder requirements, investigate trends, develop dashboards, and communicate findings clearly.
Job Description
As a Data Analyst at GoTymeX, you will collect, clean, model, and analyze data from multiple sources to help teams make informed decisions. You will develop analytical datasets, build dashboards, conduct statistical analyses, and evaluate business initiatives through experiments such as A/B testing.
You will also work with stakeholders across marketing, operations, finance, and product teams. Your responsibilities will include maintaining data quality, improving reporting processes, and helping colleagues understand and use data effectively.
Key Responsibilities
1. Data Exploration and Modeling
- Collect, clean, and analyze data from multiple sources.
- Build and maintain analytical datasets and reports for business teams.
- Perform data validation and quality checks to ensure accuracy and consistency.
- Apply statistical techniques to identify trends, patterns, and opportunities.
- Improve the reliability and usability of analytical data.
2. Business and Strategic Analysis
- Work with stakeholders to understand business questions and analytical requirements.
- Analyze customer behavior, product usage, and market trends.
- Convert complex findings into practical recommendations for business strategy.
- Support data-driven decisions across marketing, finance, operations, and product functions.
- Evaluate business and operational performance using relevant metrics.
3. Analytics and Reporting
- Develop dashboards and KPI-tracking tools to monitor performance.
- Design and conduct experiments, including A/B tests.
- Apply statistical analysis and hypothesis testing to evaluate initiatives.
- Present findings to technical and non-technical stakeholders.
- Help teams understand analytical results and their business implications.
4. Team Collaboration and Knowledge Sharing
- Promote data literacy and help colleagues use analytical tools effectively.
- Share best practices in data analysis, visualization, and reporting.
- Contribute to documentation and training materials.
- Participate in cross-functional projects that improve company-wide data capabilities.
Eligibility Criteria
Candidates should have the following technical and professional skills.
Technical skills
- Strong SQL expertise, including complex queries, common table expressions (CTEs), window functions, and query optimization.
- Proficiency in Python or PySpark for data manipulation and analysis.
- Knowledge of statistical analysis, hypothesis testing, and experimental design.
- Experience with business intelligence tools such as Looker, Tableau, or similar platforms.
- Experience working with Databricks.
Financial services knowledge
- At least 2 years of experience in financial services, fintech, or banking.
- Understanding of credit risk, lending products, and regulatory requirements.
- Knowledge of GDPR and data governance.
- Familiarity with customer lifecycle analytics and retention strategies.
Core competencies
- Strong business judgment and analytical problem-solving.
- Ability to make data-informed strategic and operational decisions.
- Excellent communication and stakeholder management skills.
- Experience collaborating with cross-functional and non-technical teams.
Preferred Qualifications
The following qualifications may strengthen an application:
- Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or another quantitative discipline.
- Experience with big data technologies and cloud platforms.
- Knowledge of machine learning and artificial intelligence.
- Experience working in a high-growth startup environment.
- Familiarity with statistical algorithms for data modeling.
- Experience developing automated testing and data-monitoring systems.
Who Should Apply?
This role may be suitable for data analysts who want to apply their technical expertise to business problems in fintech or banking.
Candidates with strong SQL skills, Python or PySpark experience, Databricks knowledge, and an understanding of lending or credit risk may find this opportunity particularly relevant. Professionals who can communicate analytical findings effectively and work closely with business stakeholders should review the complete requirements.
How to Apply for GoTymeX Jobs
Interested candidates can visit the job listing and submit their application through LinkedIn.
Before applying, update your resume to highlight relevant SQL projects, Python or PySpark experience, Databricks exposure, dashboard development, statistical analysis, and any experience in fintech, banking, credit risk, or customer analytics.
Final Note
The GoTymeX Data Analyst position offers an opportunity to combine technical analytics with business strategy in a financial services environment. Applicants should review the full job listing to confirm the latest requirements and application details.
Disclaimer: This article is based on the supplied job description. Hiring requirements and availability may change. Please refer to the employer’s job listing for the latest information.
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