Job Overview
| Particulars | Details |
|---|---|
| Position | Data Analyst |
| Company | Skeps |
| Location | Gurugram |
| Job Type | Full-Time |
| Category / Department | Data Scientist |
| Application Mode |
🏢 About Skeps
Company Overview:
Skeps is a financial technology company focused on improving the customer experience and accessibility of credit and financial products. The company integrates credit flows into customer journeys, connecting financial institutions and merchants to facilitate access to suitable financial products at the point where purchasing decisions are made. Skeps operates a microservices platform designed to embed banking services directly into customer journeys and bring credit and commerce funnels together.
Company Mission:
To build a dynamic and democratized ecosystem that supports a growth economy by improving access to financial products and reducing friction in the credit journey.
Company Vision:
Not Provided
Core Values / Principles
Customer-focused financial experiences
Innovation in financial technology
Collaboration across financial institutions and merchants
Accessibility of financial products
Real-time decision-making
Technology-driven growth
Not Provided
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight hands-on SQL experience prominently.
Showcase projects involving large datasets and data-driven analysis.
Mention specific data visualization and BI tools you have actually used.
Include examples of translating business requirements into analytical insights.
Highlight stakeholder management and communication experience.
If applicable, clearly mention FinTech or SaaS industry experience.
Interview Preparation:
Revise SQL queries, joins, aggregations, subqueries, CTEs, and window functions.
Prepare examples of analyzing large datasets and identifying business trends.
Review data visualization and BI concepts.
Be prepared to explain how you translate business requirements into analytical solutions.
Prepare examples demonstrating stakeholder communication and management.
If you have FinTech experience, review relevant financial and credit-related data use cases.
Professional Tips:
Tailor your resume toward data analytics and SQL-heavy responsibilities.
Focus on measurable business outcomes generated through your analysis.
Clearly identify the BI and visualization tools you have practical experience with.
Demonstrate both technical analytical capability and strong stakeholder communication.
📝 Job Description
Position Details:
The Data Analyst will work with business and technical stakeholders to analyze data, identify meaningful patterns, and convert business requirements into actionable insights. The role requires strong SQL skills, analytical thinking, experience handling large datasets, and familiarity with data visualization and business intelligence tools.
The selected candidate will also be expected to communicate analytical findings clearly and manage relationships with stakeholders. Experience in FinTech or SaaS environments is preferred.
Benefits / Compensation
Salary, benefits, incentives, and other compensation details: Not Provided.
Candidate Requirements:
Experience in Data Analytics.
FinTech or SaaS experience is preferred.
Strong technical background with hands-on SQL experience.
Ability to work with large datasets.
Strong analytical and problem-solving skills.
Experience with data visualization and BI tools.
Ability to translate business requirements into actionable insights.
Strong stakeholder management and communication skills.
Preferred Skills:
Data Analytics
SQL
Data Visualization
Business Intelligence
Large Dataset Analysis
Business Requirements Analysis
Stakeholder Management
FinTech
SaaS
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can send their CV to recruitment@skeps.com.
🎯 Key Responsibilities
- ✓ Analyze business and operational data to identify meaningful insights.
- ✓ Work with large datasets using SQL and analytical techniques.
- ✓ Translate business requirements into actionable data-driven insights.
- ✓ Develop and use data visualizations and BI tools to communicate findings.
- ✓ Identify trends, patterns, and opportunities through data analysis.
- ✓ Collaborate with stakeholders to understand analytical requirements.
- ✓ Communicate analytical findings and recommendations effectively.
- ✓ Support data-driven business decision-making.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
This Data Analyst role offers a dynamic work environment designed for professional growth. You will collaborate with experienced professionals, contribute to critical projects, and build transferable skills in communication, project management, and strategic execution. It is an excellent step for anyone seeking to advance their career.
Standard career growth starts in Junior/Associate executive roles, mastering foundational deliverables. After 3-5 years, professionals move to Senior Coordinator or Team Lead, supervising projects. Long-term progress leads to General Manager, Business Unit Director, and executive management roles focused on strategic organizational growth.
Expected Technical & Behavioral Questions:
- Q1: How do you handle working under tight deadlines with competing priorities?
Answer Tip: Discuss task prioritization, breaking down assignments, eliminating distractions, and proactively communicating roadblocks to the manager. - Q2: Describe a time you resolved a conflict with a co-worker.
Answer Tip: Emphasize active listening, finding common ground, keeping communication professional, and focusing on business outcomes. - Q3: What methods do you use to track your daily progress and productivity?
Answer Tip: Mention checklists, time-blocking, task management apps (like Trello/Asana), and reviewing daily outcomes against weekly goals.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Project Management, Stakeholder Communication, Time Management, Problem Solving, MS Office Suite, Documentation, Collaboration.
- Format: Keep the resume to 1-2 pages maximum. Use standard fonts like Inter, Arial, or Calibri (10-12pt text).
- Quantify Results: E.g., 'Managed 3 cross-functional team projects, delivering all milestones 2 weeks ahead of schedule.'
Estimated compensation for this role type in India is ₹2,20,000 - ₹3,60,000 per annum. The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
To boost your professional profile, look into: Project Management Professional (PMP), CAPM from PMI, Certified ScrumMaster (CSM), or advanced business communications and spreadsheet management credentials.
Frequently Asked Questions
What is the job title for this position?
The position is for a Data Analyst.
Which company is hiring for this role?
Skeps is hiring for this position.
Where is the position located?
The position is based in Gurugram.
Is this a remote position?
No. The position is specified as onsite.
How much experience is required?
A specific experience range has not been provided.
Is SQL experience required?
Yes. Candidates should have strong hands-on experience with SQL.
What industry experience is preferred?
FinTech or SaaS experience is preferred.
Will the role involve working with large datasets?
Yes. The role requires the ability to work with large datasets and derive actionable insights.
Are data visualization and BI skills required?
Yes. Experience with data visualization and BI tools is required.
How can candidates apply?
Candidates can send their CV to recruitment@skeps.com.
Share This Job
🛡️ Safety Disclaimer: JobPortalConnect curates official listings for informational purposes. Genuine recruiters will never ask you for processing fees, training payments, or security deposits. If you spot suspicious activity, copyright issues, or wish to request the removal of this listing, please report it to us immediately at contact.jobportalconnect@gmail.com.