Senior Software Engineer - Full stack
Impact Analytics is a B2B SaaS company delivering AI-native predictive solutions for retail and CPG. The Senior Software Engineer will build and scale sophisticated enterprise products and mobile/web applications. The role requires 4-6 years of experience with Python, Node.js, React.js, and SQL. You will work in a flat, high-growth environment focused on innovative AI implementation.
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Experience
4-6 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Impact Analytics is a B2B SaaS company delivering AI-native predictive solutions for retail and CPG. The Senior Software Engineer will build and scale sophisticated enterprise products and mobile/web applications. The role requires 4-6 years of experience with Python, Node.js, React.js, and SQL. You will work in a flat, high-growth environment focused on innovative AI implementation.
TAL's take
Strong engineering role at an established, rapidly growing SaaS firm with clear impact and product focus.
The JD clearly defines the seniority, required tech stack, and scope of work for the role.
Salaries at Impact Analytics
24.8 LPA average
Based on 25 Grapevine salary entries for Impact Analytics.
Engineering
0 - 2 years | L1
10 LPA average
Range: 10 - 10 LPA
Engineering
4 - 6 years | None
15 LPA average
Range: 6 - 22 LPA
Engineering
6 - 8 years | L4
36 LPA average
Range: 35 - 40 LPA
Sales
0 - 2 years | L1
10 LPA average
Range: 10 - 10 LPA
Must haves
- Proficiency in full-stack application development
- Proficiency in python, Node js, React.js, javascript
- 4-6 years of full-stack application development experience
- Experience in developing mobile and web-based applications from scratch
- Good understanding of SQL and databases
- Knowledge of engineering processes including source control, CI/CD
Tools and skills
About the company
Established SaaS company with significant growth accolades but not yet a Tier 1 flagship unicorn.
Posts mentioning Impact Analytics
Transitioning out of Data Analytics
It's almost been one year since I starting working as a data analyst (first job overall) at a saas startup. It's been good so far, learnt a lot about business as well as data, but feeling kinda saturated now. I find growth/ product roles to be more attractive (direct impact on the growth of the org). But I'm an unsure where to start, and what are the skill sets that I need to have. Being in data I'm well versed with SQL, data pipelines and some business functions as well. If anyone has any thoughts, feel free to share!
Impact analytics wlb and culture
I'm currently interviewing with them for a backend engineering role. Can someone shed some insight on their culture and wlb? Thanks in advance for the inputs😅
Looking for Opportunities!!
Hey folks! I’m actively looking for Product or Analyst roles (Business/Data/Product) at early-stage startups or impact-driven teams. I’m a CS grad with hands-on experience in data analysis, user research, dashboarding (Excel, SQL, Power BI), and cross-functional collaboration. I’ve worked across product internships and love solving problems with structure and curiosity. Open to full-time roles or internships. Always happy to connect!