Business Analyst

Who We Are

YourDOST is one of India’s leading emotional wellness organisations. We help corporates, colleges, and government institutions build healthier and more resilient communities through counselling, assessments, self-help tools, training, and organisational insights.

Since 2014, we have partnered with 500+ organisations, including CK Birla Group, UpGrad, IIT Madras, IIT Delhi, and IIM Bangalore, and supported over 20 lakh Indians.

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

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

Job Title: Senior Data Analyst

Location: Sharnam Metrolinks, Amraiwadi, Ahmedabad

Working Days: 6 Days a Week

Department: MDO

Reporting To: COO

Employment Type: Full-Time

Job Summary

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization.

The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

● Collect, clean, validate, and consolidate data from multiple internal and external sources.

● Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

● Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

● Manage and regularly update internal databases, spreadsheets, and reporting systems.

● Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

● Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

● Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

● Translate data findings into clear, actionable insights and recommendations to support

strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

● Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

● Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

● Proactively suggest new automation tools, system enhancements, or integrations to

improve efficiency, accuracy, and scalability.

● Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

● Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

● Collaborate with Sales, HR, Finance, Operations, and other departments to understand

reporting and data requirements.

● Provide support for ad-hoc analysis, custom reports, and special data requests.

● Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

● Maintain complete and updated documentation for MIS processes, reports, data models,

automation logic, and system changes.

● Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

● Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

● Review existing manual and digital data systems to identify operational gaps, risks, and

mprovement opportunities.

● Recommend structured data models, reporting formats, and storage solutions aligned with

business requirements.

● Coordinate with department heads to define data structures, access levels, and reporting

standards.

● Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP

integrations) with minimal operational disruption.

● Design structured data formats and role-based access controls to ensure secure and

organized data management.

● Train employees on newly implemented systems and provide post-implementation

support.

● Monitor system performance, resolve issues, and continuously improve systems based on

user feedback and organizational growth.

Qualifications & Experience

● Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

● 3–5 years of experience in data analytics, reporting, or system automation roles.

● Strong analytical thinking, logical reasoning, and problem-solving abilities.

● High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

● Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

● BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

● Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

● Vlook

Preferred Skills

● Strong verbal and written communication skills

● Ability to handle sensitive and confidential information responsibly

● Quick learner with a tech-savvy, improvement-driven, and solution-oriented mindset

Role Overview

We are looking for a driven and analytical Product Manager to own end-to-end product initiatives across our fintech ecosystem. You will work closely with Engineering, Growth, Risk, and Operations teams to build scalable, customer-centric solutions that drive measurable business impact.

Key Responsibilities

• Own the product lifecycle from problem discovery → PRD → launch → iteration
• Write clear and structured PRDs, user stories, and acceptance criteria
• Collaborate cross-functionally with Engineering, Design, Growth, Risk, and Business teams
• Define product roadmaps and prioritize based on impact and feasibility
• Analyze product performance, funnels, and user behavior using data
• Drive experimentation, A/B testing, and continuous optimization
• Translate business goals into scalable product solutions

Required Skills & Qualifications

• 3–7 years of Product Management experience (preferably in fintech/startup environments)
• Strong analytical skills with hands-on experience in SQL and Excel/Google Sheets
• Experience working in Agile environments with engineering teams
• Ability to think structurally and solve complex product problems
• Strong stakeholder management and communication skills
• Working understanding of APIs, integrations, and system workflows
• Comfort using AI tools to enhance productivity, documentation, research, and product discovery
• Basic understanding of prompt structuring to improve research, analysis, and workflow efficiency

About the Role

We are looking for enthusiastic Data Analytics Interns to join our team remotely for a 3-month internship. This is an excellent opportunity to gain hands-on experience in data analysis, data visualization, database management, and reporting. The selected candidates will have the opportunity to work on real projects, analyze datasets, and develop their technical and analytical skills.

Responsibilities

• Assist in collecting, cleaning, organizing, and analyzing datasets.
• Work with SQL and databases for data retrieval, manipulation, and analysis.
• Use Microsoft Excel to organize data, perform calculations, and prepare reports.
• Assist in creating dashboards and visualizations using Power BI or Tableau.
• Work with Python libraries such as Pandas and NumPy for data analysis.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Prepare reports and presentations based on analytical findings.
• Assist in tracking key performance indicators (KPIs) and monitoring business data.
• Maintain accurate documentation of data analysis activities and project contributions.
• Collaborate with team members on data-related projects and analytical tasks.

Requirements

• Basic knowledge of Data Analytics and data analysis concepts.
• Understanding of SQL and database fundamentals.
• Familiarity with Microsoft Excel and data management.
• Basic knowledge of Python is preferred.
• Familiarity with data visualization tools such as Power BI or Tableau is an advantage.
• Strong analytical and problem-solving skills.
• Good research and organizational abilities.
• Attention to detail and accuracy.
• Ability to work independently in a remote environment.
• Good communication skills and eagerness to learn.

What You'll Gain

• Real-world experience in data analytics and business intelligence.
• Hands-on experience with data cleaning, analysis, and visualization.
• Exposure to industry-relevant tools such as SQL, Python, Excel, and Power BI.
• Mentorship and exposure to practical analytical processes.
• Completion Certificate at the end of the internship.
• Letter of Recommendation based on performance.
• Opportunity to strengthen your portfolio with real-world data projects.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Perks: Completion Certificate + Letter of Recommendation

About The Sleep Company

The Sleep Company is India's fastest-growing D2C sleep and comfort brand, built on patented Smart GRID technology and trusted by over 5 lakh customers. Our portfolio spans mattresses, pillows, toppers and ergonomic seating, sold across online channels and a growing network of experience centres nationwide. We move fast, think big and put the consumer at the centre of everything we do.

Role Overview

As Senior Product Manager, you will own the product roadmap for your category or platform. You will work with Engineering, Design, Marketing, Operations and Retail to build products and experiences that customers love and that grow the business.

Key Responsibilities

• Own the product vision, strategy and roadmap for your area
• Turn customer insights, data and business goals into clear priorities
• Write clear PRDs and user stories, and manage the backlog
• Lead product launches from idea to release, working closely with Engineering and Design
• Track key metrics such as conversion, retention and NPS, and act on what the data shows
• Run experiments and A/B tests to improve the customer journey across web, app and stores
• Work with Marketing, Supply Chain and Retail teams to keep product, pricing and experience aligned
• Study the market and competitors to spot new opportunities
• Mentor junior product managers and share best practices

Requirements

• Product management experience, ideally in D2C, e-commerce or consumer products
• Proven record of launching and scaling products
• Strong analytical skills and comfort with tools such as GA, Mixpanel or SQL
• Clear communication and the ability to manage multiple stakeholders
• Sound understanding of the omnichannel customer journey
• Bachelor's degree required; MBA is a plus

Position Overview:

We are building a new retail merchandising platform on top of that data. It answers what to stock, how much, and in which store, combining sales, catalogue, and customer data with GeoIQ’s location attributes at retail scale: thousands of stores, tens of thousands of SKUs, decisions made weekly.

As the product manager on this platform, you will own how those decisions reach the people who make them: category managers, planners and store operations teams. The models are being built alongside the product, so you will decide what gets built, in what order, and how its output fits into a buyer’s weekly planning cycle. You will work every day with data science and engineering, and what you ship changes what a store actually orders.

Responsibilities:

• Own one or more platform modules (demand forecasting, assortment planning, replenishment, new-launch allocation) from problem definition through to adoption.
• Spend time with merchandisers, category managers and store teams to understand how buying and replenishment decisions are made today, often in spreadsheets, and where that process breaks.
• Write specs that data science and engineering can build from: the decision being supported, its inputs, the business rules and constraints (minimum display quantities, pack sizes, warehouse reserves, brand rules), and what a good output looks like.
• Design the workflows that let planners act on model output with confidence: recommendation screens, overrides, explanations and exception queues.
• Define success metrics with the business (sell-through, stockouts, inventory turns, forecast accuracy, recommendation acceptance) and set up pilot-versus-control rollouts to measure them.
• Run pilots with store clusters and categories, gather feedback, and decide what changes before a module scales to the full network.
• Lead discovery when the platform extends to new brands and markets, each with its own data, supply chain and planning process.
• Keep the roadmap, priorities and trade-offs clear to merchandising, category, supply chain and leadership teams.

Expectations:

• Work experience: 2–5 years, with at least 2 years in product management
• Prior experience taking a product from problem definition to adoption by real users
• Comfortable with data: able to write SQL, work through a spreadsheet model, and read a model evaluation or A/B test result
• Clear written communication, including specs that engineers and data scientists can build from without a meeting
• Understanding of how ML-driven products differ: probabilistic outputs, accuracy limits, and the need for user overrides
• Experience with B2B, internal tools or data-heavy products will be an added advantage
• Experience in retail, e-commerce, merchandising, supply chain or inventory planning will be an added advantage
• Prior experience as an analyst, engineer or data scientist will be an added advantage

Join us early and own the product that decides what thousands of stores stock each week, working directly with the merchants who use it and the team that builds it.

Job Title: Data Intern

Company: Honeybee Digital

Location: Remote

Internship Duration: 3 Months

Job Type: Internship

Working Hours

• Full-time: 9:00 AM – 6:00 PM
• Part-time: 9:00 AM – 1:00 PM / 1:00 PM – 6:00 PM

About the Role

We are looking for a detail-oriented and analytical Data Intern who is eager to work with data and gain hands-on experience in data management, analysis, and reporting. This role is ideal for candidates interested in building a career in data analysis, business intelligence, or data science.

Key Responsibilities

• Collect, organize, and maintain data from various sources
• Clean and preprocess data to ensure accuracy and consistency
• Assist in data analysis and generate basic insights
• Create reports and dashboards using tools like Excel or Google Sheets
• Support teams with data requirements for marketing, operations, and business decisions
• Perform data entry and validation tasks
• Identify patterns, trends, and anomalies in datasets
• Maintain proper documentation of data processes

Requirements

• Basic knowledge of Excel / Google Sheets
• Understanding of data handling and analysis concepts
• Attention to detail and accuracy
• Basic problem-solving and analytical thinking skills
• Familiarity with tools like Python, SQL (optional but preferred)
• Ability to manage tasks and meet deadlines
• Willingness to learn and work with data

Skills You Will Gain

• Hands-on experience in data collection, cleaning, and analysis
• Exposure to real-world datasets and reporting
• Practical knowledge of Excel, data visualization, and analytics tools
• Understanding of business decision-making using data
• Experience working in a professional environment

Who Can Apply

• Students pursuing Data Science, Computer Science, IT, Statistics, or related fields
• Freshers interested in data analysis and data-related roles
• Candidates looking to gain practical experience in data handling and analytics

Associate Product Manager TAP INVEST

Location: Bangalore · On-site, 5 days/week in office

Experience: 1–3 years, in Product, Analytics, or Consulting Function:

Product Management

About Tap Invest

Tap Invest is India's leading Fixed Income Investment Platform, committed to empowering investors with secure and smart investment opportunities. Join us in the pursuit of Financial Freedom through our innovative approach to wealth creation. The Role As a Associate Product Manager at Tap Invest, you will own end-to-end product structure for your area - from framing the problem to shipping and measuring the outcome. You'll drive growth-centric features that move core metrics, and lead the infrastructural and platform changes that let the product scale reliably.

What You'll Do → Own end-to-end product structure — from problem framing and scoping to shipping and measuring outcomes. → Build growth-centric features that move activation, engagement, and retention metrics. → Lead infrastructural and platform changes needed to scale the product reliably. → Work closely with engineering, design, and stakeholders to turn strategy into shipped product. → Build high-impact product experiences that help users make smarter investment decisions. → Own outcomes, not just features or sprints. → Tackle complex, ambiguous problems across investments, user engagement, and more.

What We're Looking For → 1–3 years of experience in Product Management, Analytics, or Consulting. → Strong hands-on SQL skills — comfortable pulling and interpreting data independently. → Proven ability to scope problems and write clear PRDs from ambiguous inputs. → A strong sense of ownership — you drive things to closure without being told to. → Ability to lead with clarity, aligning engineering, design, and stakeholders around a shared plan. → Strong with data — comfortable using it to prioritize, validate, and course-correct.

Good to Have → Prior experience in Fintech or BFSI — a strong plus.  

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