Data Analyst at Hunarstreet Technologies Pvt Ltd · gujarat · 2.8 - 8 years · ₹0.6L - ₹7L / yr · Profitable · Posted 29 Jan 2026

Job Role: Profile Data Setup Analyst
Job Title: Data Analyst
Location: Vadodara | Department: Customer Service |
Experience: 3 - 5 Years
Job Overview
A company, we’ve been transforming the window and door industry with intelligent
software for over 40 years. Our solutions power manufacturers, dealers, and installers globally,
enabling efficiency, accuracy, and growth. We are now looking for curious, data-driven professionals
to join our mission of delivering world-class digital solutions to our customers.
Job Overview
As a Profile Data Setup Analyst, you will play a key role in configuring, analysing, and managing product
data for our customers. You will work closely with internal teams and clients to ensure accurate,
optimized, and timely data setup . This role is perfect for someone who
enjoys problem-solving, working with data, and continuously learning.
Key Responsibilities
• Understand customer product configurations and translate them into structured data using
Windowmaker Software.
• Set up and modify profile data including reinforcements, glazing, and accessories, aligned with
customer-specific rules and industry practices.
• Analyse data, identify inconsistencies, and ensure high-quality output that supports accurate
quoting and manufacturing.
• Collaborate with cross-functional teams (Sales, Software Development, Support) to deliver
complete and tested data setups on time.
• Provide training, guidance, and documentation to internal teams and customers as needed.
• Continuously look for process improvements and contribute to knowledge-sharing across the
team.
• Support escalated customer cases related to data accuracy or configuration issues.
• Ensure timely delivery of all assigned tasks while maintaining high standards of quality and
attention to detail.
Required Qualifications
• 3–5 years of experience in a data-centric role.
• Bachelor’s degree in engineering e.g Computer Science, or a related technical field.
• Experience with product data structures and product lifecycle.
• Strong analytical skills with a keen eye for data accuracy and patterns.
• Ability to break down complex product information into structured data elements.
• Eagerness to learn industry domain knowledge and software capabilities.
• Hands-on experience with Excel, SQL, or other data tools.
• Ability to manage priorities and meet deadlines in a fast-paced environment.
• Excellent written and verbal communication skills.
• A collaborative, growth-oriented mindset.
Nice to Have
• Prior exposure to ERP/CPQ/Manufacturing systems is a plus.
• Knowledge of the window and door (fenestration) industry is an added advantage.
Why Join Us
• Be part of a global product company with a solid industry reputation.
• Work on impactful projects that directly influence customer success.
• Collaborate with a talented, friendly, and supportive team.
• Learn, grow, and make a difference in the digital transformation of the fenestration industry.

About Hunarstreet Technologies Pvt Ltd
About
At Hunarstreet Technologies Pvt Ltd, we specialize in delivering India’s fastest hiring solutions, tailored to meet the unique needs of businesses across various industries. Our mission is to connect companies with exceptional talent, enabling them to achieve their growth and operational goals swiftly and efficiently.
We are able to achieve a success rate of 87% in relevancy of candidates to the job position and 62% success rate in closing positions shared with us.
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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.
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.
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Learn more at www.yourdost.com.
About the Role
We are looking for a Product Analyst / Business Analyst who can use data and structured thinking to support product decisions and execution.
You will work closely with Product, Technology, Design, and business teams to analyse product performance, translate requirements into user stories, support releases, and identify opportunities for improvement.
What You Will Do
- Analyse user behaviour, funnels, engagement, retention, and other product metrics.
- Build dashboards and convert data into clear, actionable insights.
- Translate business requirements into user stories, workflows, and acceptance criteria.
- Work with Product, Technology, and Design teams during planning and development.
- Conduct UAT, identify edge cases, and validate releases.
- Measure the impact of product changes and recommend improvements.
- Conduct competitor, market, and customer research.
- Use AI and no-code tools to improve research, analysis, and workflows.
Who Can Apply
- 1–3 years of experience in Product Analysis, Business Analysis, Product Operations, or Data Analysis.
- Strong analytical and problem-solving skills.
- Advanced knowledge of Excel or Google Sheets.
- Working knowledge of SQL and BI tools such as Power BI, Tableau, Looker Studio, or Metabase.
- Familiarity with product analytics tools such as Mixpanel, GA4, or Amplitude.
- Experience creating user stories, acceptance criteria, and conducting UAT.
- Ability to work effectively with Product and Technology teams.
- Strong attention to detail and communication skills.
- Startup experience and an interest in mental health or consumer technology are a plus.
Why Join Us
- Work at the intersection of product, data, and business.
- Directly influence product decisions through analysis and insights.
- Get end-to-end exposure to building, launching, and improving products.
- Work on products that meaningfully impact people’s well-being.
Job Details
Location: HSR Layout, Bengaluru
Employment Type: Full-time
Work Mode: Onsite
Working Days: Five days a week
At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.
About the Role:
We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.
Key Responsibilities:
- Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
- Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
- Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
- Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
- Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
- Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.
Requirements:
- 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
- Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
- Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
- Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
- Ability to collaborate effectively with remote and geographically distributed teams across different time zones.
Company Link: https://www.nineleaps.com/
Company LinkedIn: https://www.linkedin.com/company/nineleaps/
We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.
What We’re Looking For
- Proven experience working as a Data Analyst or in a similar analytical role
- 5+ Years of experience in the field
- Strong command of SQL for querying and manipulating relational databases
- Experience with Power BI for building impactful dashboards and reports
- Familiarity with QlikView and Qlik Sense is a plus
- Ability to communicate findings clearly to technical and non-technical stakeholders
- Knowledge of Python or R for data manipulation is nice to have
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
- Understanding of the insurance industry or InsurTech is a strong advantage
What You’ll Be Doing:
- Delivering timely and insightful reports to support strategic decision-making
- Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
- Ensuring data accuracy and consistency across reports and systems
- Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
- Organizing and structuring datasets, contributing to data engineering workflows and pipelines
- Producing analytics to support business development and market strategy
About the Role
Work at the intersection of business and technology, supporting operations, data analysis, automation, and digital tools to improve efficiency and growth.
Responsibilities
- Support business operations using tech tools (Excel, CRM, dashboards)
- Analyze data and generate insights for decision-making
- Assist in automation workflows and process improvements
- Coordinate between tech and business teams
- Help in implementing digital solutions and tools
Skills Required
- Basic knowledge of Excel / Google Sheets
- Good analytical and problem-solving skills
- Understanding of business processes
- Interest in technology and automation
Details
- Duration: 3–6 months
- Mode: Remote
- Certificate + PPO based on performance
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!
Job Title: Corporate Quality MIS Analyst – Automotive / Wiring Harness
Location: Goregaon East
Experience: 3–7 Years
Industry: Automotive / Auto Components / Wiring Harness
Role Type: Corporate HO-Based
Job Summary
We are looking for a Corporate Quality MIS Analyst with 3–7 years of experience in the Automotive, Wiring Harness, or Auto Components industry. The candidate will be responsible for consolidating quality data from multiple plants, analysing Quality KPIs, preparing MIS reports and dashboards, and providing management-level insights for quality improvement.
Key Responsibilities
Consolidate plant-wise Quality MIS, KPIs, and performance reports.
Analyse PPM, rejection, rework, FPY, customer complaints, CAPA, and 8D data.
Prepare quality MIS reports, dashboards, trend analysis, and management presentations.
Coordinate with Plant Quality Teams to ensure timely and accurate data submission.
Identify quality trends, deviations, recurring issues, and improvement opportunities.
Maintain standardized Corporate Quality MIS formats, databases, and reporting systems.
Support management reviews with accurate quality data and analytical insights.
Track plant-wise quality performance and highlight gaps against defined targets.
Key Requirements
3–7 years of experience in Quality MIS / Quality Reporting within Automotive, Wiring Harness, or Auto Components.
Strong understanding of Quality KPIs, MIS reporting, and data analysis.
Advanced proficiency in MS Excel, including Pivot Tables, VLOOKUP/XLOOKUP, and dashboards.
Good knowledge of PowerPoint and management presentation preparation.
Knowledge of 7 QC Tools, 8D, CAPA, Root Cause Analysis, PPM, Rejection, Rework, and FPY.
Strong analytical, coordination, communication, and reporting skills.
Experience coordinating with multiple plant/quality teams will be preferred.
About VerbaFlo.ai:
VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.
Role Overview:
We are seeking a Senior Business Data Analyst with strong experience in analytics, SQL, and dashboarding (preferably Metabase) who can independently lead complex analytical initiatives, translate business problems into scalable data solutions, and mentor junior analysts. This role demands someone who can think strategically, operate with high ownership, and ensure the company runs on accurate, timely, and actionable insights.
Responsibilities:
Strategic & Cross-Functional Ownership
- Partner with leadership (Product, Ops, Growth, Finance) to translate business goals into analytical frameworks, KPIs, and measurable outcomes.
- Influence strategic decisions by providing data-driven recommendations, forecasting, and scenario modeling.
- Drive adoption of data-first practices across teams and proactively identify high-impact opportunity areas.
Analytics & Dashboarding
- Own end-to-end development of dashboards and analytics systems in Metabase (or similar BI tools).
- Build scalable KPI frameworks, business reports, and automated insights to support day-to-day and long-term decision-making.
- Ensure data availability, accuracy, and reliability across reporting layers.
Advanced Data Analysis
- Write, optimize, and review complex SQL queries for deep-dives, cohort analysis, funnel performance, and product/operations diagnostics.
- Conduct root-cause analysis, hypothesis testing, and generate actionable insights with clear recommendations.
Data Infrastructure Collaboration
- Work closely with engineering/data teams to define data requirements, improve data models, and support robust pipelines.
- Identify data quality issues, define fixes, and ensure consistency across systems and sources.
Leadership & Process Excellence
- Mentor junior analysts, review their work, and establish best practices across analytics.
- Standardize reporting processes, create documentation, and improve analytical efficiency.
Core Requirements:
- 5–8 years of experience as a Business Analyst, Data Analyst, Product Analyst, or similar role in a fast-paced environment.
- Strong proficiency in SQL, relational databases, and building scalable dashboards (Metabase preferred)
- Demonstrated experience in converting raw data into structured analysis, insights, and business recommendations.
- Strong understanding of product funnels, operational metrics, and business workflows.
- Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
- Proven track record of independently driving cross-functional initiatives from problem definition to execution.
- Experience with Python, Git, or BI tools like Looker/Power BI/Tableau.
- Hands-on with data warehouses (BigQuery, Redshift, Snowflake).
- Familiarity with product analytics tools (Mixpanel, GA4, Amplitude).
- Exposure to forecasting, financial modeling, or experimentation (A/B testing).
Why Join Us?
- Work directly with top leadership in a high-impact role.
- Be part of an innovative and fast-growing AI startup.
- Opportunity to take ownership of key projects and drive efficiency.
- A collaborative, ambitious, and fast-paced work environment.
- Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.
If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!
Apply now to join VerbaFlo.AI on this journey.













