🏢 DataAnnotation
Data Analyst
💼 Fulltime
📍 Bangalore, Karnataka
⏰ Expired
🔗 Explore More
🛠 Skills Required
Microsoft Excel
SQL
Power BI
Tableau
Python
Pandas
NumPy
Data cleaning
Data visualization
Analytical thinking
Communication
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🎤 Interview Experience
The interview process at DataAnnotation typically starts with a timed online aptitude test focusing on quantitative and logical reasoning. Successful candidates move to a technical interview where they solve SQL queries, Excel case studies, and discuss data‑visualisation concepts. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation of SQL fundamentals and Excel shortcuts greatly improves chances.
🏢 Work Culture
DataAnnotation promotes a fast‑paced, results‑oriented environment where learning is encouraged. Employees enjoy flexible work‑from‑home options, regular skill‑upgradation sessions, and clear growth pathways, resulting in a balanced work‑life experience.
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📚 Free Study Materials (4)
Aptitude Questions & Answers for Data Analyst Interviews
Covers quantitative, logical reasoning, and data interpretation problems that are frequently asked in DataAnnotation's first round.
Open Resource ↗
DataAnnotation Recruitment Process – Candidate Experiences
First‑hand accounts of the interview stages at DataAnnotation, helping you prepare for each round.
Open Resource ↗
DataAnnotation Data Analyst Interview Guide
Specific preparation material, sample questions, and tips tailored for the Data Analyst role at DataAnnotation.
Open Resource ↗
Problem Set – Practice SQL & Data Manipulation
Hands‑on practice for SQL queries and data handling challenges that mirror real‑world tasks at DataAnnotation.
Open Resource ↗
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✅ Eligibility Criteria
Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, or related field; minimum 60% aggregate; graduating batch 2024‑2026; no active backlogs; strong analytical mindset and willingness to learn.
🏆 Selection Process
Round 1: Online aptitude test → Round 2: Technical interview (SQL & Excel case study) → Round 3: HR interview (fit & cultural alignment)
⛔
This job has expired
The application deadline was 31 Jul 2026. This listing is no longer accepting applications.
Creator Pick · Promoted by Creator
📋 About the Role
DataAnnotation is a fast‑growing Indian startup that specializes in data labeling, annotation, and AI‑training services for global technology firms. Founded in 2018, the company has built a robust platform that combines human intelligence with machine‑learning workflows to deliver high‑quality annotated datasets for computer‑vision, natural‑language processing, and speech‑recognition projects. With offices in Bangalore, Hyderabad, and remote hubs across the country, DataAnnotation serves clients ranging from Fortune‑500 enterprises to innovative AI‑driven startups, positioning itself as a key enabler in the AI ecosystem.
The role of a Data Analyst at DataAnnotation is pivotal to transforming raw operational data into actionable insights that drive business performance, client satisfaction, and product innovation. As a fresher or early‑career professional, you will work closely with the Operations, Product, and Business Development teams to monitor key metrics such as annotation throughput, quality scores, client turnaround time, and revenue per project. You will be responsible for building dashboards, generating periodic performance reports, and identifying trends that can improve workflow efficiency and cost effectiveness.
Key Responsibilities:
1. Collect, clean, and validate data from internal annotation tools, CRM, and finance systems.
2. Design and maintain interactive dashboards using Power BI or Tableau for real‑time monitoring of project KPIs.
3. Perform ad‑hoc analysis to answer business questions related to productivity, quality, and client churn.
4. Develop SQL queries to extract data from relational databases and generate summary tables.
5. Automate recurring reports using Excel macros or Python scripts to reduce manual effort.
6. Collaborate with the engineering team to suggest data‑driven enhancements to the annotation platform.
7. Conduct root‑cause analysis for any deviations in quality or delivery timelines and propose corrective actions.
8. Prepare weekly and monthly performance presentations for senior leadership.
9. Support forecasting and capacity planning activities for upcoming client projects.
10. Stay updated with industry best practices in data analytics and propose innovative analytical techniques.
Tech Stack: Microsoft Excel (advanced), SQL, Power BI/Tableau, Python (Pandas, NumPy), basic knowledge of cloud storage (AWS S3) and ERP/CRM tools.
Growth Path: Starting as a Junior Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, and eventually to Product Analytics Manager, with opportunities to transition into data science or product management roles based on interest and skill development.
Why Join DataAnnotation? You will be part of a mission‑driven organization at the forefront of AI data preparation, gaining exposure to cutting‑edge AI projects while building a solid foundation in data analytics. The company offers a collaborative culture, mentorship from industry experts, and a clear career progression roadmap, making it an ideal launchpad for ambitious freshers.
⛔
This job has expired
The application deadline was 31 Jul 2026. This listing is no longer accepting applications.
Creator Pick · Promoted by Creator
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📋 Quick Info
JOB ID
C165-J051
POSTED
23 Jun 2026
TYPE
Fulltime
BATCH
All Batches
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