Data Analyst / Analytics Engineer – Time Hack Consulting

Company: Time Hack Consulting
Job Type: Full-time
Location: Bengaluru, Karnataka, India
Work Mode: On-site
Experience: 0–2 years

About the Company

Time Hack Consulting is hiring for a hands-on Data Analyst / Analytics Engineer role supporting a high-growth fintech platform. The position works across credit data, customer behavior, campaign analytics, and financial and health-product initiatives.

The role offers an opportunity to work on data-driven systems that support automated underwriting, customer targeting, eligibility engines, and product-mapping decisions.

Job Overview

The Data Analyst / Analytics Engineer will turn raw and often unstructured data into practical scripts, business rules, analytical models, and evaluation frameworks.

This is a build-from-scratch role where the candidate will work extensively with Python, SQL, credit bureau data, CRM data, communication logs, and campaign analytics, rather than relying primarily on pre-built dashboards.

Key Responsibilities

Credit Bureau Data Analysis

• Analyze raw credit bureau data, including credit scores, tradeline histories, account classifications, and enquiry velocity.
• Develop risk segmentations and scoring rules.
• Support the creation of lending eligibility logic.

Rule Engine & Tool Development

• Build and maintain client-side eligibility frameworks.
• Develop Business Rule Engine (BRE) frameworks.
• Convert partner credit policies into testable code and decision rules.

Campaign & Funnel Analytics

• Analyze WhatsApp, voice, call-center, and CDR communication data.
• Identify high-fit borrower segments and conversion drivers.
• Analyze funnel performance and identify drop-off points.

Signal-to-Trigger Mapping

• Develop analytical triggers connecting changes in credit behavior with relevant health and financial protection offerings.
• Support product and customer targeting decisions using data-driven signals.

Data Pipelines & Experimentation

• Develop repeatable Python and SQL workflows.
• Support A/B testing and experimentation.
• Perform cohort tracking and performance analysis.
• Prepare data for executive performance reviews.

Data Hygiene & Structuring

• Ingest, clean, and standardize large-scale CRM files, call logs, and credit bureau extracts.
• Structure datasets for use by product, growth, and cross-functional teams.
• Maintain data quality and consistency across analytical workflows.

Candidate Profile

Experience

• 0–2 years of experience in Data Analytics, Data Science, or a related analytical field.
• Internships are included in the experience range.

Technical Skills

• Strong proficiency in Python, particularly pandas and NumPy.
• Strong SQL skills.
• Spreadsheet modeling for rapid analysis.
• Understanding of data analytics and data processing workflows.

Analytical Skills

• Understanding of statistics and analytical methods.
• Familiarity with cohort analysis and performance metrics.
• Ability to work with metrics such as precision, approval bands, and conversion rates.
• Ability to derive actionable insights from complex or unstructured datasets.

Domain Interest

• Strong interest in credit bureau data and digital lending.
• Curiosity about fintech and insurtech applications.
• Interest in underwriting logic and data-driven financial products.

Execution & Communication

• Comfortable working with messy and unstructured datasets.
• Able to translate technical findings into clear business insights.
• Comfortable working independently in a hands-on, build-from-scratch environment.

Nice-to-Have Skills

• Exposure to classification models.
• Experience building lightweight internal dashboards using HTML/JavaScript.
• Familiarity with lending or insurance underwriting logic.
• Experience with fintech analytics or related financial datasets.

Key Skills

• Data Analytics
• Analytics Engineering
• Python
• Pandas
• NumPy
• SQL
• Fintech
• Credit Bureau Data
• Credit Risk Analytics
• Campaign Analytics
• Funnel Analytics
• A/B Testing
• Cohort Analysis
• Data Pipelines
• Business Rule Engines
• Data Cleaning
• Data Structuring
• Dashboard Development

Job Details

Category	Details
Company	Time Hack Consulting
Position	Data Analyst / Analytics Engineer
Location	Bengaluru, Karnataka
Work Mode	On-site
Job Type	Full-time
Experience	0–2 years
Primary Skills	Python, SQL, Analytics
Industry	Fintech

How to Apply

Interested candidates can apply for the Data Analyst / Analytics Engineer position with Time Hack Consulting. Candidates with strong Python and SQL skills and an interest in fintech, credit analytics, and data-driven decision systems are encouraged to apply.