Senior Business Analyst

Posted 4 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
2M-3M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Analyzes large datasets to solve business problems, build data science and machine learning models, automate dashboards, and generate actionable insights. The role involves SQL and NoSQL data work, experimentation, statistical analysis, visualization, root-cause analysis, and resolving data issues with engineering teams. The analyst collaborates with Product, Marketing, Operations, and Customer Experience stakeholders and presents findings to support executive strategy.
Summary Generated by Built In

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

Salary range: Rs 2200000 - Rs 2800000 (ie IN 22-28 LPA)

Experience: 3+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

The Senior Business Analyst role is one of the most crucial roles in any organization. This role offers taking initiative, dealing with challenging problems, building data science models, finding insights from existing data to drive executive strategy, by presenting it through the power of data visualization.


Requirements

What you will do:

  • You’ll work with large, complex data sets to solve high-impact business problems, which will have a direct impact on the growth of the company.
  • You easily automate Analytics Dashboards, through an understanding of data structures, SQL and no SQL dbs
  • Solving these problems will involve data mining, experimentation, statistical analysis, and related techniques, and machine learning using tools like SQL, Python, Tableau, Excel etc.
  • You’ll be involved in multiple cycles of data analysis – forming an initial hypothesis, extracting, analyzing, dissecting that data as per the hypothesis, presenting the insights in a crisp actionable manner, and then keep reiterating the whole process till you reach the conclusion
  • Your role would require building data science models using the latest methodologies
  • You’ll also be responsible for fixing data issues in coordination with data engineering team and conducting root cause analysis.
  • You’ll work with multiple stakeholders from Product, Marketing, Operations, and CX teams

What you will bring:

  • Bachelor’s degree in Engineering/Economics/Mathematics/Statistics or related discipline
  • 3+ yrs. Experience in data analytics or data sciences, preferably for a product-oriented company
  • Candidate needs to exhibit structured thinking and strong analytical skills
  • Hands-on experience on data manipulation tools like SQL, R, Python, Excel, etc.
  • Exposure to visualization tools like Tableau, Power BI, etc.
 

Why Join Us?

  • Work directly with the founders on high-leverage problems across product, growth, and ops that defines a new category.
  • Competitive salary, meaningful equity.
  • Best-in-class insurance for you plus two parents, regardless of pre-existing conditions.
  • Build the operating backbone for a category-defining consumer product.

Must-have skills

Advanced SQL, ai automation

Good-to-have skills

product analytics, Data Analytics, Business Analytics

Skills Required

  • Bachelor’s degree in Engineering, Economics, Mathematics, Statistics, or a related discipline
  • 3+ years of experience in data analytics or data science
  • Advanced SQL experience
  • AI automation skills
  • Strong analytical skills and structured thinking
  • Hands-on experience with SQL, R, Python, and Excel
  • Experience with data manipulation and large, complex datasets
  • Experience with Tableau, Power BI, or similar visualization tools
  • Product analytics experience
  • Experience in a product-oriented company
Am I A Good Fit?
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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