
Senior Data Analyst - Fashion / Garment Industry - Ahmedabad
We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization. The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.
Key Responsibilities
1. Data Management & Reporting
- Collect, clean, validate, and consolidate data from multiple internal and external sources.
- Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.
- Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.
2. Database & Data Accuracy Management
- Manage and regularly update internal databases, spreadsheets, and reporting systems.
- Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.
- Implement best practices for data validation, version control, and audit checks.
3. Data Analysis & Business Insights
- Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.
- Translate data findings into clear, actionable insights and recommendations to support strategic and operational decision-making.
4. Reporting Automation, System Recommendation & Implementation
- Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.
- Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.
- Proactively suggest new automation tools, system enhancements, or integrations to improve efficiency, accuracy, and scalability.
- Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.
- Continuously monitor and optimize automated systems in line with business growth and evolving data needs.
5. Cross-Functional Coordination & Support
- Collaborate with Sales, HR, Finance, Operations, and other departments to understand reporting and data requirements.
- Provide support for ad-hoc analysis, custom reports, and special data requests.
- Act as a data partner to department heads for decision support and performance tracking.
6. Documentation & Compliance
- Maintain complete and updated documentation for MIS processes, reports, data models, automation logic, and system changes.
- Ensure compliance with company data governance policies and applicable data protection standards.
System Development & Data Structuring Responsibilities
- Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.
- Review existing manual and digital data systems to identify operational gaps, risks, and improvement opportunities.
- Recommend structured data models, reporting formats, and storage solutions aligned with business requirements.
- Coordinate with department heads to define data structures, access levels, and reporting standards.
- Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP integrations) with minimal operational disruption.
- Design structured data formats and role-based access controls to ensure secure and organized data management.
- Train employees on newly implemented systems and provide post-implementation support.
- Monitor system performance, resolve issues, and continuously improve systems based on user feedback and organizational growth.
Qualifications & Experience
- Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.
- 3–5 years of experience in data analytics, reporting, or system automation roles.
- Strong analytical thinking, logical reasoning, and problem-solving abilities.
- High attention to detail with excellent organizational and documentation skills.
Technical Skills (Must Have)
- Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts
- Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)
- BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)
- Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema
- Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

About Hunarstreet Technologies Pvt Ltd
About
At Hunarstreet Technologies Pvt Ltd, we specialize in delivering India’s fastest hiring solutions, tailored to meet the unique needs of businesses across various industries. Our mission is to connect companies with exceptional talent, enabling them to achieve their growth and operational goals swiftly and efficiently.
We are able to achieve a success rate of 87% in relevancy of candidates to the job position and 62% success rate in closing positions shared with us.
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Role overview:
We are hiring one Senior Backend Engineer to take end-to-end ownership of our serverless backend — a hands-on IC role for someone both technically excellent and comfortable being one of the few people the entire backend depends on. You'll own the services across several Node.js and Python repositories, work directly with the founders and product team, and set the technical bar for reliability, security, and performance.
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We prefer to be candid — these are the problems that make this role genuinely interesting:
Latency under a hard ceiling
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Graph-shaped data, relational store
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Watertight multi-tenancy
One Cognito pool per company and tenant-scoped access throughout — isolation is a first-order concern.
VPC-bound serverless
Lambdas run inside a VPC to reach private databases; you'll manage cold starts, connection lifecycles, and pool limits.
Resilient external integrations
Syncing large document sets from third-party APIs (including SOAP/XML) demands backpressure, deduplication, retries, and graceful partial-failure handling.
Compute-heavy workloads
Server-side PDF generation, image processing, and multi-currency handling within Lambda's memory and time constraints.
The stack.
Runtime — Node.js, Python, AWS Lambda
AWS services — -1 API Gateway, Lambda, Cognito, STS / IAM, Secrets Manager, S3 CloudWatch, VPC, EC2
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Qualifications.
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- Strong hands-on AWS experience, ideally serverless (Lambda, API Gateway, IAM/STS, VPC, Secrets Manager, CloudWatch) — able to reason about IAM policies, not just apply them.
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- Proven production-debugging ability — root-cause analysis in distributed systems from logs and first principles.
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- Familiarity with SQL and relational databases like MySQL, PostgreSQL, or Oracle.
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As a Senior Marketing Executive, you will be at the forefront of our marketing efforts. Your
responsibilities will include:
● Developing and executing comprehensive, multi-channel marketing campaigns to drive
lead generation and customer acquisition, more than mere campaign management.
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● Collaborating closely with our sales team to ensure a seamless transition of leads and to
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keep our strategies fresh and effective.
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● A bachelor's degree in Marketing, Business Administration, or a related field.
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Honors bachelor’s degree in engineering or science fields or equivalency.
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Industry
- Staffing & Recruiting
Employment Type
Full-time
Edit job description
Job Type: Full-time
CTC Offering : 3.6L PA to 6L PA
Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
-
Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms
Overview
We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework
Key Skills required (Items in Bold are mandatory keywords) :
1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
7. Experience building REST APIs using DRF or Flask
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku
KRAs includes:
1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
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5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to
provide optimal deliveries on time
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10. Building secured REST APIs
11. Setting up batch task processing environments using Celery
12. Unit testing prepared modules
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14. Optimization and performance tuning of code
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1. Nodejs
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3. PHP
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5. AWS
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Some must haves are:
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6. Familiarity with 3+ programming languages









