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Salary
$16k – $38k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Vyapar provides billing, inventory and accounting software for small Indian businesses. Its mobile application works offline and generates tax compliant invoices. Millions of shopkeepers and traders use it for daily bookkeeping.

About Vyapar:

We are a technology and innovation company in the fintech space, delivering business accounting software to Micro, Small & Medium Enterprises (MSMEs). With more than 10 Million users across 140 countries, we are one of the fastest growing companies in this space. We take the complexity out of invoicing, inventory management & accounting, making it so simple, such that small businesses can spend less time on manual bookkeeping and spend more time focusing on areas of business that matter.

Role Summary:

We are looking to hire a Data Analyst who will help our teams make data backed decisions by doing data analysis, KPI reporting and data visualization. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and techniques.

Key Responsibilities:

  • Interpret data, analyze results and provide ongoing reports.
  • Develop analytics dashboards
  • KPI reporting for different verticals
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Work with different departments on their data visualization and analysis needs
  • Taking out meaningful insights from the data

Desired Skill & Requirements

  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SQL, R).
  • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings.
  • Good written and verbal communication skills.
  • Experience on techniques like - A/B Testing, ANOVA, Probability Distributions, Regression Analysis
  • Ability to work with large amounts of data

Experience:

  • Preferred 2 to 4 years of relevant experience in data analysis.
  • Preferred: 1 year of experience in SQL.
  • Background in a product company and/or startup experience is a plus.

Education:

  • A full time Bachelors’ degree from a recognised university.
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