Manager Analytics at Fast Growing Ethnic Wear Brand · Delhi, Gurugram, Noida · 8 - 12 years · ₹12L - ₹15L / yr · Posted 1 Nov 2021

Almost a decade old, it is a venture committed to bring together a varied range of traditional crafts and techniques of dyeing, weaving, printing and hand embroidery. The founders have dedicated their life to promote Indian Block Prints and provide employment and Hand-Embroidery training to women so that numerous underprivileged women can be empowered.
What you will do:
- Developing analytical solutions to solve problem, identifying internal and external data, using analytical techniques including use of statistical techniques to analyse the problem, distilling information into actionable insights
- Participating in key decision-making forums and communicating key insights in an effective and influential manner
- Partnering with key stakeholders prioritizing analytics roadmap, demonstrating sense of urgency to identify and acting on opportunity and driving transparency on the work roadmap
- Monitoring and measuring launched initiatives [A/B testing] and feed learnings back into development process
- Managing multiple project priorities, deadlines and deliverables including rapid response as well as strategic priorities
- Identifying the appropriate data sources and building data assets to be able to enrich data and expand analytics capabilities
- Converting frequently asked questions into reports/ diagnostic tools
What you need to have:
- Graduate/ Post-Graduate Degree in Engineering, Mathematics, Statistics
- 8+ year of well-rounded analytics experience, preferably in internet B2C- Retail
- Strong exposure to data, analytical framework, hypothesis-based problem solving and scaling analytics
- Ability to work independently and drive your own projects
- Strong problem-solving skills
- Ability to translate business problem to analytics
- Expertise in data wrangling using SQL, exposure to Python is a plus
- Hands-on experience in using excel and power point
- Excellent communication skills
- Entrepreneurial mind-set, strong interpersonal skills
- Strong collaboration skills - inter and intra team

Similar jobs (6)
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
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.
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
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)
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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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.












