Job Overview
| Particulars | Details |
|---|---|
| Position | We're Hiring: Lead Data Analyst |
| Company | Nineleaps |
| Location | Bangalore |
| Job Type | Full-Time |
| Experience | 5 - 7 years |
| Category / Department | Data Scientist |
| Application Mode |
🏢 About Nineleaps
Building Systems That Matter
At Nineleaps, we build modern data ecosystems and AI-powered platforms that help organizations drive measurable business growth, accelerate innovation, and make smarter decisions.
Our Origin Story
Founded by engineers Divy Shrivastava and Vivekanand Jha, Nineleaps was built on a simple but powerful belief: engineering should not merely execute business strategies—it should actively shape them.
The founders recognized that many digital transformation initiatives struggled because engineering was viewed only as an implementation function rather than a strategic capability. They envisioned a company where architecture decisions influence business outcomes and engineers help drive organizational success.
Today, Nineleaps has evolved into a global Product Engineering, Data Engineering, and AI Engineering organization, partnering with Fortune 500 companies while remaining true to its engineering-first philosophy.
Engineering Change with AI
At Nineleaps, AI is not simply a technology—it is a strategic enabler. The company collaborates closely with organizations to:
✅ Build purpose-driven AI solutions
✅ Simplify complex business challenges
✅ Deliver scalable data platforms
✅ Accelerate decision-making processes
✅ Embed intelligence into business operations
The Nineleaps Approach
The What: Purpose-built intelligence tailored to business needs.
The Why: Creating clarity through intelligent decision-making.
The How: Co-creation and collaborative engineering to build scalable, business-driven solutions.
Nineleaps
Bengaluru, Karnataka, India
Primary engineering and design center driving core platform innovation and large-scale enterprise delivery.
💡 Editor's Note / Preparation Tip
🔹 Revise advanced SQL concepts, joins, CTEs, and window functions
🔹 Strengthen Python skills, especially Pandas and data manipulation
🔹 Practice Tableau dashboard creation and storytelling techniques
🔹 Review business intelligence and KPI analysis concepts
🔹 Prepare stakeholder management and leadership examples
🔹 Study AI and Generative AI applications in analytics
🔹 Practice business case studies and data interpretation scenarios
🔹 Review team management and project leadership experiences
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📄 Resume Preparation Tips
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✅ Highlight SQL, Python, Tableau, and analytics expertise prominently
✅ Showcase dashboards and business intelligence projects
✅ Include measurable business impact and analytical achievements
✅ Highlight team leadership and mentoring experience
✅ Demonstrate stakeholder management capabilities
✅ Include AI, automation, and analytics initiatives
✅ Quantify business improvements and decision-making outcomes
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💡 Pro Tips for Applicants
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✔️ Prepare practical SQL and Python problem-solving examples
✔️ Showcase Tableau dashboards and visualization projects
✔️ Demonstrate leadership and team management experience
✔️ Highlight business impact created through analytics
✔️ Be prepared to discuss stakeholder management scenarios
✔️ Research AI-driven analytics and modern data ecosystems
📝 Job Description
🚀 We're Hiring: Lead Data Analyst | 5–7 Years Experience
📍 Location: Bangalore
🏢 Work Mode: Work From Office
💼 Experience: 5–7 Years
🤖 Domain: Data Analytics | AI | Business Intelligence
Are you passionate about leveraging data, analytics, and AI-driven approaches to solve complex business problems? Nineleaps is hiring an experienced Lead Data Analyst to work on cutting-edge analytics initiatives and data-driven solutions for leading global clients across industries.
💼 Position Details
Role: Lead Data Analyst
Experience: 5–7 Years
Location: Bangalore
Work Mode: Work From Office
Industry: Data Engineering | Analytics | AI
As a Lead Data Analyst, you will be responsible for analyzing complex business data, developing dashboards, generating strategic insights, and supporting enterprise decision-making through data-driven solutions. You will collaborate with stakeholders, engineering teams, and business leaders to design and implement analytics initiatives using modern data technologies and AI-driven methodologies.
The role requires strong technical expertise, business acumen, leadership capabilities, and experience managing analytics teams and projects.
⭐ Preferred Qualifications
➕ Experience working with Generative AI technologies (Good to Have)
➕ 1–2 years of team management experience
➕ Experience leading analytics projects and teams
➕ Knowledge of modern data ecosystems and platforms
➕ Experience working with enterprise clients and large-scale datasets
➕ Familiarity with AI-driven analytics approaches
➕ Experience working in Agile development environments
📩 How to Apply
Interested candidates and referrals can share their updated resume at:
Please mention:
Subject: Application – Lead Data Analyst
🎯 Key Responsibilities
- ✓ Collect, analyze, and interpret complex business datasets
- ✓ Build dashboards and visualizations for business intelligence reporting
- ✓ Generate actionable business insights and strategic recommendations
- ✓ Write and optimize complex SQL queries
- ✓ Utilize Python for data analysis, automation, and reporting
- ✓ Develop and maintain business analytics frameworks
- ✓ Collaborate with stakeholders to understand business requirements
- ✓ Drive analytics initiatives across multiple business functions
- ✓ Lead and mentor analytics team members
- ✓ Present insights and recommendations to senior leadership
- ✓ Improve reporting processes and data quality standards
- ✓ Support AI-driven analytics and data transformation initiatives
💡 Required Qualifications & Skills
Frequently Asked Questions
Q1. Is prior leadership experience required?
➡️ Yes, candidates should have approximately 1–2 years of team management experience.
Q2. Is this a remote opportunity?
➡️ No, this is a Work From Office role based in Bangalore.
Q3. Which technical skills are mandatory?
➡️ SQL, Python, Tableau, and Excel/Google Sheets expertise are mandatory.
Q4. Is Generative AI experience required?
➡️ No, but experience with GenAI technologies is considered an added advantage.
Q5. What type of projects will candidates work on?
➡️ Candidates will work on enterprise analytics, business intelligence, data engineering, and AI-driven solutions.
Q6. What level of experience is required?
➡️ Candidates should have 5–7 years of hands-on analytics experience.
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