Position: Associate Data Analyst - Planning
Company: Myntra
Location: Bengaluru, Karnataka, India
Job type: Full-time
Job mode: On-site
Job requisition id: Not Specified
Years of experience: 0-2 Years
Company description
Myntra stands firmly as India’s leading online platform dedicated exclusively to fashion, beauty, and lifestyle retail, constantly transforming how modern consumers discover and shop online.
Established originally in 2007 as a personalized gift item enterprise, the organization has aggressively evolved into an absolute market pioneer, hosting a massive portfolio of over 13,000 top national and international brands across multiple lifestyle verticals.
Operated by a vibrant workforce ranging between 1,000 and 5,000 direct employees, Myntra thrives on combining state-of-the-art technological architectures with creative commercial execution.
The business model is strongly sustained by solid operational fundamentals, having proudly recorded positive EBITDA consecutively across multiple financial cycles including FY25 while aggressively expanding its total reach.
Internal cultural values focus heavily on meritocracy, equal opportunity, intellectual curiosity, high agility, bold strategic execution, and empowered cross-functional collaboration.
Innovations such as AI Stylist, M-Now, trend-focused Myntra FWD, and interactive creator-led commerce continuously reshape online user discovery, rapid fulfillment, personalized styling, and interactive shopping experiences for millions of active Pan-Indian shoppers daily.
Profile overview
The Associate Data Analyst - Planning role is an essential, high-impact analytical position focused primarily on precision demand forecasting and supply chain resource alignment.
Successful candidates in this role are tasked with developing highly robust forecasting architectures that directly influence organizational decision-making, inventory allocation, and fulfillment efficiency.
Key daily obligations center around evaluating massive, complex historical sales datasets to isolate hidden demand trends, seasonal cycles, market shifts, and underlying operational anomalies.
Professionals will leverage advanced statistical modeling, predictive data science methods, complex SQL queries, and Python scripting to continuously minimize forecast error percentages and refine inventory accuracy.
The position demands constant cross-functional synergy, requiring the analyst to actively interface with parallel business units including Sales, Category Management, Marketing, Finance, and Supply Chain.
Through systematic demand review forums and consensus forecasting workflows, the analyst will ensure that every internal stakeholder operates under unified, data-validated market expectations.
Operational vigilance is essential, as the role mandates continuous tracking, evaluation, and executive reporting on primary performance metrics such as forecast precision, service level fulfillment, and stock availability.
Beyond quantitative calculations, the candidate must actively analyze macroeconomic shifts, competitive ecommerce landscape changes, and micro-consumer behaviors to preemptively adapt prediction algorithms.
The candidate will take full end-to-end ownership of planning automation projects, identifying procedural bottlenecks and deploying automated data pipelines to streamline operational workflows.
Functioning within a highly agile and fast-paced environment, the candidate must exhibit exceptional problem-solving capabilities, structured thinking frameworks, and immediate action-oriented project execution.
Qualifications
Academic requirements stipulate a completed BE or BTech degree obtained strictly from a recognized Tier 1 institution.
Work experience background must fall between 0 and 2 years of proven professional experience in quantitative or technical domains.
Candidates with direct prior exposure to E-commerce, Retail operations, or core Business Analytics industries will be given primary consideration.
Comprehensive proficiency in Advanced Microsoft Excel, including complex formulas, pivot tables, lookup models, and analytical data structuring is mandatory.
High proficiency in SQL for database querying, structured data extraction, table joins, aggregation, and handling large enterprise databases is required.
Practical mastery of Python programming for scientific computing, statistical testing, predictive analytics, data manipulation, and workflow automation is essential.
Strong baseline capabilities in Data Science methodologies, machine learning algorithms, and forecasting techniques are necessary.
Exceptional analytical thinking and structured problem-solving skills to systematically dissect ambiguous business problems into structured, solvable components.
Demonstrated process orientation with a keen ability to map out, organize, and execute end-to-end analytical project pipelines.
High level of agility, adaptability, and emotional composure required to comfortably manage changing business priorities in a high-tempo retail setting.
Proven track record of proactiveness, showing absolute ownership of analytical initiatives from initial concept through to practical deployment.
Superior interpersonal communication capabilities enabling clear presentation of technical findings to non-technical business partners and leadership.
Ability to foster strong collaborative working relationships across diverse functional teams including logistics, finance, and marketing.
Solid grasp of core supply chain management concepts, demand planning principles, inventory optimization strategies, and logistics operations.
Capability to write clean, maintainable code for analytical scripts and data processing jobs to reduce manual dependencies.
Experience in constructing performance reporting dashboards and KPI tracking tools to monitor inventory health and service delivery metrics.
Demonstrated ability to synthesize macro-environmental factors, competitive intelligence, and consumer insights into actionable operational models.
Ability to multi-task effectively, meeting strict operational deadlines without sacrificing computational accuracy or analytical depth.
Additional info
The role offers an unprecedented opportunity to influence core supply chain decisions at one of Asia’s largest fashion e-commerce platforms.
Positioned directly in the tech hub of Bengaluru, Karnataka, India, offering immersion in a high-density technology ecosystem.
The workspace environment actively fosters intellectual curiosity, encouraging team members to experiment with novel analytics techniques and automation tools.
Employees are provided with modern analytical tools, scalable infrastructure, and dedicated mentorship to support rapid professional development.
Working within Myntra provides deep visibility into large-scale, real-time consumer data streams representing millions of daily transactions.
The operational culture operates strictly as a meritocracy, ensuring that high performance and innovative ideas are recognized and elevated swiftly.
The candidate will gain hands-on experience in building enterprise-level predictive models that directly impact supply chain profitability and operational speed.
Offers extensive cross-functional exposure, building deep domain expertise in retail logistics, demand management, commercial planning, and digital commerce.
Ideal career launching pad for early-career analytics professionals looking to build world-class capabilities in predictive supply chain modeling.
The organization promotes an inclusive work environment that values diverse perspectives, intellectual honesty, and collaborative success.
Immense exposure to cutting-edge ecommerce initiatives involving personalization, high-speed delivery networks, and content-led commerce.
Continuous learning is backed by access to internal training programs, technical workshops, and industry-standard analytics frameworks.
The role emphasizes proactive execution, empowering analysts to take bold bets, challenge legacy methodologies, and optimize workflows independently.
Joining Myntra offers direct participation in shaping the future of fashion technology, lifestyle retail, and digital consumer experiences across India.
Please click here to apply.
Daily job updates on WhatsApp, Click here
