Data Analyst at Factory Edtech · Delhi · 2 - 5 years · ₹10L - ₹12L / yr · Posted 17 Aug 2022

Data Analyst
Job Brief:
The successful candidate will turn data into information, information into insight and insight into business decisions.
Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance
and quality control plans to identify improvements.
About Us
We began in 2015 with an entrepreneurial vision to bring a digital change in the manufacturing landscape of India. With a team of 300+ we are working towards the digital transformation of business in the manufacturing industry across domains like Footwear, Apparel, Textile, Accessories etc. We are backed by investors such as
Info Edge (Naukri.com), Matrix Partners, Sequoia, Water Bridge Ventures and select Industry leaders.
Today, we have enabled 2000+ Manufacturers to digitize their distribution channel.
Responsibilities
● Interpret data, analyze results using statistical techniques and provide ongoing reports.
● Develop and implement databases, data collection systems, data analytics and other strategies that
optimize statistical efficiency and quality.
● Acquire data from primary or secondary data sources and maintain databases/data systems.
● Identify, analyze, and interpret trends or patterns in complex data sets.
● Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and
correct code problems.
● Work with management to prioritize business and information needs.
● Locate and define new process improvement opportunities.
Requirements
● Proven working experience as a Data Analyst or Business Data Analyst.
● Technical expertise regarding data models, database design development, data mining and segmentation
techniques.
● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc),
programming (XML, Javascript, or ETL frameworks).
● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS
etc).
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of
information with attention to detail and accuracy.
● Adept at queries, report writing and presenting findings.
Job Location
South Delhi, New Delhi

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This role will be permanent with NAM info and deploy to client location Hyderabad & Pune.
Work Mode: WORK FROM OFFICE
Role Descriptions:
- Perform detailed data analysis and support business decision-making
- Gather and document business requirements and translate them into technical specifications
- Work closely with stakeholders to define data needs and reporting requirements
- Create user stories, functional specifications, and support UAT activities
- Ensure alignment between business objectives and data solutions
Required Skills:
- Strong expertise in SQL and data querying
- Proven experience in data analysis, requirement gathering, and stakeholder management
- Ability to translate business requirements into technical solutions and user stories
- Good understanding of data models, reporting, and analytics concepts
Skills: Business Analysis~ORACLE SQL
Locations: ~HYDERABAD~PUNE~
Desire candidate
- Candidate should have valid PF.
We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to identify trends, generate insights, and support business decision-making.
The candidate should be comfortable working with large datasets, creating reports and dashboards, and communicating findings clearly to business stakeholders.
Key Responsibilities
- Collect, clean, organize, and analyze data from multiple sources.
- Identify trends, patterns, anomalies, and business opportunities from data.
- Create dashboards, reports, and visualizations for business teams.
- Track and report key performance indicators (KPIs).
- Perform ad-hoc analysis to support business and management decisions.
- Develop and maintain automated reports where possible.
- Work with stakeholders to understand reporting and analytical requirements.
- Ensure data accuracy, consistency, and quality.
- Present analytical findings in a clear and actionable manner.
- Maintain documentation for reports, dashboards, and data processes.
Key Responsibilities
- Collect, consolidate and manage data from various internal systems, SaaS platforms, CRM/ERP modules, logs, and databases.
- Generate daily, weekly, monthly, and ad-hoc MIS reports and dashboards for operations, sales, finance, customer-support or other relevant teams.
- Use advanced Excel to build, maintain, and manage complex spreadsheets — including pivot tables, VLOOKUP / HLOOKUP / INDEX-MATCH, SUMIF/COUNTIF, conditional formatting, charts/graphs, macros/VBA (if needed) to automate routine reporting tasks.
- Validate and clean data — ensure data integrity, consistency; identify and rectify discrepancies or anomalies.
- Collaborate with cross-functional teams (product, operations, support, finance, sales) to understand their data/reporting needs and deliver appropriate reports/insights.
- Provide ad-hoc data analysis or custom reporting as required by management or US stakeholders.
- Maintain documentation of reporting processes, data definitions/SOPs, report templates, and standard workflows.
- Ensure timely delivery of reports — especially considering night-shift schedule — so that US-based stakeholders receive data at start of their business day.
- Identify opportunities for process improvement and automation to make MIS reporting more efficient and reliable.
Required Skills & Qualifications
- Bachelor’s degree (in IT, Computer Science, Business, Statistics, or related field) or equivalent.
- Strong proficiency in Microsoft Excel — including advanced formulas/functions (VLOOKUP/HLOOKUP/INDEX-MATCH), pivot tables, charts/graphs, conditional formatting, data cleaning, data validation.
- Ability to build and maintain dashboards/reports; comfortable using Excel for recurring and ad-hoc reports.
- Strong analytical and problem-solving skills; ability to work with large datasets, identify trends, anomalies, and draw insights.
- Good communication skills — ability to coordinate with different teams/stakeholders, understand requirements, and present data/insights clearly.
- Readiness for night-shift work from office; ability to work independently, meet deadlines and manage time effectively.
About Us
Corporate Web Solutions provides technology-driven solutions involving data analysis, automation, web development, and digital transformation.
Role Overview
As a Data Analyst Intern, you'll assist in analyzing datasets, preparing reports, identifying trends, and exploring AI-assisted analytics workflows.
Key Responsibilities
- Collect and organize data.
- Analyze datasets and identify trends.
- Prepare reports and visualizations.
- Work with Excel, spreadsheets, or analytical tools.
- Assist with dashboards and data-driven insights.
- Explore AI tools for data analysis.
Requirements
- Basic understanding of data analysis.
- Familiarity with Excel or Google Sheets.
- Basic knowledge of SQL or Python is a plus.
- Analytical mindset.
- Good attention to detail.
Perks
- Certificate of Internship
- Flexible work hours
- Mentorship and real project exposure
- Potential for PPO
- Letter of Recommendation
- Performance-Based Stipend available up to ₹18,000/month
Role Overview
We are seeking a skilled Senior Data Analyst with substantial hands-on experience in Source System Analysis, data mapping, data modeling, SQL analysis, and integration testing. The ideal candidate will support seamless data flow across business applications, ensure data accuracy, and contribute to system improvements.
Key Responsibilities
- Conduct detailed data mapping between source and target systems, ensuring consistency and accuracy.
- Build and maintain data models to support business processes, reporting needs, and integration workflows.
- Write and optimize SQL queries for data validation, analysis, migration, and troubleshooting.
- Work closely with cross-functional teams to gather data requirements and understand business logic.
- Develop and execute integration test plans, including functional, data validation, and regression testing.
- Support data migration activities, including extraction, transformation, and loading (ETL).
- Monitor and troubleshoot integration issues, ensuring timely resolution.
- Document integration flows, data dictionaries, mapping catalogs, and knowledge artifacts.
- Ensure integration security, data integrity, and compliance with organizational standards.
Required Skills & Qualifications
- 5+ years of experience insource system integrations, data mapping, and system-to-system data workflows.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- Hands-on experience with data mapping, data modelling, and database schema design.
- Proficiency in SQL (complex joins, stored procedures, performance tuning).
- Experience with ETL tools or integration platforms (Informatica, Boomi, MuleSoft, Talend, Pentaho).
- Strong analytical and problem-solving skills.
- Experience with API-based integrations (REST/SOAP) is a plus.
- Familiarity with testing methodologies for integrations and data validation.
- Ability to work with business users, understand workflows, and translate requirements into technical solutions.
Preferred Qualifications
- Experience with cloud ERP or cloud integration (AWS/Azure/GCP).
- Knowledge of JSON, XML, CSV transformation.
- Exposure to scripting languages (Python, Shell).
- Experience in Agile/Scrum environments.
- Prior involvement in ERP implementation or upgrade projects.
Competencies
- Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
- Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
- Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
- Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
- Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
Why Join Us?
- Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
- Work on impactful projects that make a difference across industries.
- Opportunities for professional growth and continuous learning.
- Competitive salary and benefits package.
Application Details
Ready to make an impact? Apply today and become part of the QX Impact team!










