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Levi Strauss & Co.

Senior Data Analyst, Planning Operations

Job Posted 18 Days Ago Posted 18 Days Ago
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In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
In-Office
Bangalore, Bengaluru Urban, Karnataka
Senior level
The Senior Data Analyst will analyze complex datasets, create reports, develop data models, and oversee planning operations while driving collaboration across teams.
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JOB DESCRIPTION

Primary Purpose

Levi’s is looking for a Data and Planning Operations analyst expert to support the SAMEA MPIM team. The ideal candidate is a great storyteller and strong technical contributor who has experience solving business problems with data-driven tools.

Reporting & Analytics expert will play a pivotal role in leveraging data to provide actionable insights, drive strategic decisions, and enhance overall business performance. You will collaborate with cross-functional teams, including commercial, planning and supply operations, merchandising and global projects (ARC) team to analyze complex datasets, create reports, and develop data models to support key business initiatives. You will be responsible for managing the design, development and maintenance of ongoing metrics, reports, analysis and dashboards.

Planning Operations: You will oversee the key milestones of planning operations like S&OP, Investment Review and ensure alignment across cross-functional teams, and drive the implementation of best practices to achieve business objectives.

Responsibilities INCLUDED BUT NOT LIMITED TO

Data Analytics:

  • Collect, clean, and analyze large datasets from various sources (internal and external) to uncover insights that drive business decisions.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) and operational metrics.
  • Perform trend analysis and scenario planning to support decision-making for planning and supply chain teams.
  • Identify opportunities for process improvements by analyzing data trends and performance patterns.
  • Collaborate with business units to translate data insights into actionable strategies that improve customer experience, operational efficiency, and profitability.
  • Work closely with data engineers and IT teams to ensure data accuracy, integrity, and security.
  • Present findings and recommendations to stakeholders, including senior leadership, through clear visualizations and reports.
  • Stay current with industry trends and best practices in data analytics, tools, and methodologies to continuously improve data processes.

Planning Operations:

  • S&OP Process: Act as a key S&OP consolidation point from affiliate to Asia level Open to Buy
  • Support the SAMEA MPIM lead and teams in producing monthly S&OP content and risk scenario planning for the cluster and affiliates.
  • Develop and drive the Planning milestone calendar across the planning organization (C2C/GTM)
  • Support, develop, and drive key GTM check-point meetings, such as Investment Review by Cluster, schedule and participate in the cluster IR review process.

Project Management:

  • Facilitate and drive new ways of working and process improvement work within MP&IM and cross-functional partners to drive simplification
  • Participate in key regional / global project to capture clusters requirements and drive implementation of new tools, systems, ways of working.

Partnership

  • Lead cross functional collaboration (IM, MP, Merch, Supply) that promote simplification, better decision-making efficiencies.
  • Work with stakeholders to ensure communication and action is aligned between the teams.
  • Collaborate with Training Lead when there are trainings or introduction of new tools.
  • Collaborate with planning teams and IM on ensuring information is most accurate before publication.
  • Facilitates the creation and actioning of, but not limited to, following Key Reports
  • Business performance review / investment review / hind-sighting / ageing report / item plan control / assortment shares
  • Support cross cluster Asia Planning Operations & Analytics team and provide back-up for cluster related priorities
  • Bachelor's in economics, Statistics, Data, Data Science and Engineering (Masters is a plus) or equivalent experience.
  • Work in an international environment, with cross countries entities
  • Experience in business analysis related function (Fashion can be an asset)
  • Experience at working both independently and in a team-oriented, collaborative environment is essential
  • 5+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
  • Has Project management experience is a plus.
  • Hands on experience working with big data such as sales, inventory management, planning  etc. retail knowledge is a plus
  • Ability to translate and present complex analysis in executive summaries. Clear and effective written and verbal communication and strong interpersonal skills.
  • Specialized Knowledge/Technical Skills:
    • 5+ years of applied data visualization experience. Looker and PowerBI as main visualization tools.
    • 5+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (Google BigQuery, MSsql, dbt)
    • Experience with data integration tools such as Dataiku or Data Fusion is a plus
    • Coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.

Decision Making and Problem solving:

  • Skilled team member who possesses exceptional analytical, communication and influencing skills
  • Excellent interpersonal skills, with the ability to interact across the organization
  • Clear simple communication supported by detailed analysis.
  • Pragmatic can do attitude that is solution driven.
  • Team player willing to identify and spread best practice.
  • Open minded.
  • Self-Motivated.
  • Time management.

Move fast (able to make decisions and comfortable with ambiguity)

LOCATIONIndia, Bangalore - OfficeFULL TIME/PART TIMEFull timeCurrent LS&Co Employees, apply via your Workday account.

Top Skills

Data Fusion
Dataiku
Dbt
Google Bigquery
Looker
Mssql
Power BI
Python
R
SQL

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