Product Analyst

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

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.

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

Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets

2

Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.

3

Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis

4

Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.

5

Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows

6

Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation

7

Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.

8

Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.

9

Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture

10

Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.

11

Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.

12

Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

13

Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

Experience: 7–10+ years | Industry Preference: Financial Services / BFSI

Role Overview

We are seeking a Senior Reporting Analyst / Business Intelligence Lead to own and drive

enterprise reporting, analytics, and data insights across the organization. This is a senior,

hands-on role requiring deep technical expertise across the Microsoft data and BI stack,

strong business acumen, and the ability to operate with minimal hand-holding. The ideal

candidate will act as a bridge between business leadership and technical teams, translating

complex business questions into scalable, reliable data models and executive-ready insights.

Key Responsibilities

 Serve as the primary owner of enterprise reporting and BI solutions, from data

ingestion through executive dashboards.

 Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using

STAR schema best practices.

 Partner closely with business stakeholders and C-level executives to define KPIs,

metrics, and reporting requirements.

 Lead and present weekly reporting and insights sessions with senior and executive

leadership.

 Ensure data accuracy, consistency, and trust across all reports and analytics outputs.

 Proactively identify data quality issues, root causes, and remediation strategies.

 Drive automation of reporting, alerts, and data refresh processes to reduce manual

effort.

 Collaborate with engineering, data, and application teams to align business logic with

source system data structures.

 Mentor junior analysts and establish BI standards, best practices, and documentation.

Technical Skills – Data & Backend

 Advanced SQL: complex queries, views, stored procedures, and validation against

source systems (RDN, Recovery Connect).

 Azure Data Factory: build and manage copy pipelines from SQL sources to data

warehouses / dedicated pools.

 Incremental refresh, parameterized pipelines, and schema replication.

 Data warehouse design: STAR schema, fact vs dimension tables, handling deleted

records and SCDs.

Technical Skills – Reporting & Frontend

 Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.

 Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).

 Query folding and performance optimization best practices.

 Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.

 Power Automate integration for alerts and workflow-driven notifications.

Data Quality & Analytics

 Ability to clean, normalize, and reconcile data across multiple systems.

 Strong troubleshooting skills when business definitions and data do not align.

 Translate business terminology into accurate technical mappings and calculations.

Communication & Leadership

 Serve as a key liaison between business stakeholders and technical teams.

 Comfortable working directly with C-level executives and senior leadership.

 Ability to lead executive-level meetings and clearly communicate insights.

 Self-starter mindset with minimal hand-holding.

Qualifications

 7–10+ years of experience in BI, analytics, or enterprise reporting roles.

 Preferred experience in financial services or regulated environments.

 Strong experience across the Microsoft BI ecosystem.

Preferred Certifications

 Microsoft PL-300 (Power BI Data Analyst)

 Microsoft DP-600 (Fabric Analytics Engineer)

 Microsoft DP-700 (Fabric Data Engineer)

What Success Looks Like

 Executive leadership trusts and relies on BI dashboards for decisions.

 Reporting is automated, accurate, and scalable.

 BI functions as a strategic partner to the business.

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 Senior Reporting Analyst / Business Intelligence Lead to own and drive enterprise reporting, analytics, and data insights across the organization. This is a senior, hands-on role requiring deep technical expertise across the Microsoft data and BI stack, strong business acumen, and the ability to operate with minimal hand-holding. The ideal candidate will act as a bridge between business leadership and technical teams, translating complex business questions into scalable, reliable data models and executive-ready insights.

Key Responsibilities

·       Serve as the primary owner of enterprise reporting and BI solutions, from data ingestion through executive dashboards.

·       Design, build, and maintain scalable Power BI / Microsoft Fabric semantic models using STAR schema best practices.

·       Partner closely with business stakeholders and C-level executives to define KPIs, metrics, and reporting requirements.

·       Lead and present weekly reporting and insights sessions with senior and executive leadership.

·       Ensure data accuracy, consistency, and trust across all reports and analytics outputs.

·       Proactively identify data quality issues, root causes, and remediation strategies.

·       Drive automation of reporting, alerts, and data refresh processes to reduce manual effort.

·       Collaborate with engineering, data, and application teams to align business logic with source system data structures.

·       Mentor junior analysts and establish BI standards, best practices, and documentation.

Technical Skills – Data & Backend

·       Advanced SQL: complex queries, views, stored procedures, and validation against source systems (RDN, Recovery Connect).

·       Azure Data Factory: build and manage copy pipelines from SQL sources to data warehouses / dedicated pools.

·       Incremental refresh, parameterized pipelines, and schema replication.

·       Data warehouse design: STAR schema, fact vs dimension tables, handling deleted records and SCDs.

Technical Skills – Reporting & Frontend

·       Power BI / Microsoft Fabric: Power Query, DAX, and M language expertise.

·       Semantic model design (1-to-many, 1-to-1, many-to-1 relationships).

·       Query folding and performance optimization best practices.

·       Paginated Report Builder (SSRS-style) for automated Excel and PDF reporting.

·       Power Automate integration for alerts and workflow-driven notifications.

Data Quality & Analytics

·       Ability to clean, normalize, and reconcile data across multiple systems.

·       Strong troubleshooting skills when business definitions and data do not align.

·       Translate business terminology into accurate technical mappings and calculations.

Communication & Leadership

·       Serve as a key liaison between business stakeholders and technical teams.

·       Comfortable working directly with C-level executives and senior leadership.

·       Ability to lead executive-level meetings and clearly communicate insights.

·       Self-starter mindset with minimal hand-holding.

Qualifications

·       7–10+ years of experience in BI, analytics, or enterprise reporting roles.

·       Preferred experience in financial services or regulated environments.

·       Strong experience across the Microsoft BI ecosystem.

Preferred Certifications

·       Microsoft PL-300 (Power BI Data Analyst)

·       Microsoft DP-600 (Fabric Analytics Engineer)

·       Microsoft DP-700 (Fabric Data Engineer)

What Success Looks Like

·       Executive leadership trusts and relies on BI dashboards for decisions.

·       Reporting is automated, accurate, and scalable.

·       BI functions as a strategic partner to the business.

Job Summary

We are looking for an experienced professional with strong expertise in Power BI, Power Apps, Power Automate, Excel, data analysis, and executive reporting. The candidate will be responsible for developing interactive dashboards, automating business processes, analyzing data, and preparing management reports to support business decision-making.

Key Responsibilities

• Develop, maintain, and enhance interactive dashboards and reports using Power BI.
• Build Power Apps solutions to improve business processes and user productivity.

Required Technical Skills

• Power BI: Dashboard development, report creation, data modeling, and visualization.
• Power Apps: Canvas apps, forms, and business application development.
• Power Automate: Workflow automation, approvals, notifications, and process automation.
• Microsoft Excel: Advanced formulas, PivotTables, lookups, data cleaning, and analysis.
• Data Analysis: Data interpretation, trend analysis, KPI tracking, and business insights.
• Executive Reporting: Management dashboards, performance reports, and KPI presentations.
• DAX & Power Query: Data transformation, calculations, and report optimization.

Preferred Skills

• Experience integrating multiple data sources.
• Knowledge of Microsoft 365 and SharePoint.
• Understanding of business intelligence and reporting best practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to interact with business stakeholders and senior management.

Experience and Qualification

• Minimum 5+ years of relevant experience in BI, data analytics, reporting, or Microsoft Power Platform.
• Hands-on experience with Power BI, Power Apps, Power Automate, and Excel.

Digital Mold Data Scientist and Manufacturing Analytics Specialist

Job Summary

COAST Systems is seeking a Data Scientist and Manufacturing Analytics Specialist in India to support a global client’s Digital Mold program.

This position will work with large and complex manufacturing, engineering, tooling, maintenance, and quality datasets. The successful candidate will transform fragmented operational data into reliable datasets, dashboards, actionable insights, and continuous-improvement opportunities.

This is a hands-on analytics role requiring close collaboration with engineering, manufacturing, operations, and business stakeholders. The position is particularly suited to someone who can understand a technical manufacturing problem, determine what the data is showing, and communicate practical recommendations that improve performance.

Key Responsibilities

• Collect, prepare, cleanse, normalize, and validate manufacturing and engineering data from multiple sources.
• Establish reliable and repeatable datasets for analytics, reporting, and decision-making.
• Analyze data to identify trends, risks, performance gaps, improvement opportunities, and potential cost savings.
• Develop and maintain dashboards, visualizations, KPI reporting, and business intelligence solutions.
• Analyze maintenance and operational performance using measures such as:
• Mean Time to Repair or MTTR
• Mean Time Between Failures or MTBF
• Overall Equipment Effectiveness or OEE
• Preventive and corrective maintenance performance
• Tool reliability, condition, quality, utilization, and lifecycle indicators
• Work closely with engineering and operations teams to convert technical and operational problems into data-driven solutions.
• Support continuous improvement, operational excellence, and process optimization initiatives.
• Align analyses and recommendations with client goals, priorities, and expected business outcomes.
• Identify relationships among tooling, maintenance, production, quality, sensor, and lifecycle data.
• Present findings clearly to technical and nontechnical stakeholders.
• Help establish consistent data definitions, analytical methods, and reporting standards.
• Support the development of predictive analytics, machine learning, and AI-enabled capabilities where appropriate.
• Learn the COAST software environment and relevant client or third-party systems.
• Help map and connect tool-specific data across systems so that information can be aligned and used consistently.

Required Qualifications

• Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, engineering, operations research, or a related quantitative discipline.
• Strong data science and analytics experience involving large, complex, or multi-source datasets.
• Demonstrated experience with data preparation, cleansing, transformation, normalization, validation, and data-quality management.
• Strong statistical and analytical problem-solving skills.
• Proven experience developing dashboards, data visualizations, KPI reporting, and business intelligence solutions.
• Ability to analyze data and translate findings into clear, practical business or operational recommendations.
• Experience working with technical, engineering, operational, or business stakeholders.
• Strong continuous-improvement and process-optimization mindset.
• Ability to communicate clearly in English with global teams and client stakeholders.
• Ability to work independently, manage priorities, and investigate unclear or incomplete data.
• Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

• Experience analyzing data in a manufacturing, engineering, maintenance, operations, or asset-management environment.
• Understanding of manufacturing equipment, tooling, maintenance, quality, and asset lifecycle concepts.
• Familiarity with MTTR, MTBF, OEE, preventive maintenance, reliability, and related manufacturing KPIs.
• Experience in plastics manufacturing or packaging, including any of the following:
• Injection molding
• Blow molding
• Extrusion blow molding
• Injection stretch blow molding
• Compression molding
• Other polymer-processing operations
• Experience working with cloud-based data platforms or data lake environments.
• Experience combining data from multiple software systems, databases, APIs, files, or vendor platforms.
• Experience with sensor, machine, equipment, IoT, or time-series data.
• Exposure to predictive analytics, machine learning, anomaly detection, forecasting, or AI applications.
• Experience developing analytics that lead to actionable workflows, reduced costs, improved reliability, or reduced manual effort.
• Experience supporting global organizations or working in a client-facing environment.

Technical Skills

Candidates should demonstrate proficiency in several of the following areas:

• SQL
• Python or R
• Statistical analysis
• Data preparation and transformation
• Data validation and data-quality analysis
• Dashboard and visualization development
• Power BI, Tableau, QuickSight, or a comparable BI platform
• Cloud data lakes or cloud analytics environments
• Relational and non-relational data sources
• Advanced Microsoft Excel
• Predictive modeling or machine learning
• API or multi-system data integration

Specific experience with every listed technology is not required. The candidate must, however, have strong foundational analytics skills and the ability to learn unfamiliar platforms and data environments.

Critical Competencies

• Analytical curiosity
• Structured problem-solving
• Systems thinking
• Data accuracy and attention to detail
• Continuous-improvement mindset
• Business and operational awareness
• Clear written and verbal communication
• Cross-functional collaboration
• Client responsiveness
• Adaptability and willingness to learn
• Ability to convert analysis into action

Experience

Approximately 4 to 8 years of relevant professional experience is preferred. Candidates with fewer years may be considered if they demonstrate strong hands-on analytics experience, manufacturing exposure, and the ability to work directly with engineering and operational stakeholders.

What Success Looks Like

The successful candidate will:

• Create trusted and repeatable manufacturing datasets.
• Deliver dashboards and reports that stakeholders actively use.
• Identify meaningful risks, trends, and improvement opportunities.
• Help engineering and operations teams make better decisions from their data.
• Improve the consistency of tool-specific information across systems.
• Progressively develop more advanced predictive and AI-enabled Digital Mold capabilities.
• Produce measurable improvements in reliability, operational performance, cost, and efficiency.

Suggested Key Skills

Data Science, Manufacturing Analytics, Data Analytics, Business Intelligence, Dashboard Development, Data Visualization, Power BI, Tableau, Amazon QuickSight, SQL, Python, R, Statistical Analysis, Data Cleansing, Data Normalization, Data Validation, Data Quality, Manufacturing KPI, OEE, MTTR, MTBF, Predictive Analytics, Machine Learning, Continuous Improvement, Process Optimization, Maintenance Analytics, Reliability Analytics, Cloud Data Lake, Sensor Data, IoT Analytics, Injection Molding, Plastics Manufacturing