Senior Analyst Digital Category Optimization

Year    Bangalore, Karnataka, India

Job Description


About Lowe\xe2\x80\x99sLowe\xe2\x80\x99s Companies, Inc. (NYSE: LOW) is a FORTUNE\xc2\xae 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe\xe2\x80\x99s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe\xe2\x80\x99s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe\xe2\x80\x99s customers. Lowe\xe2\x80\x99s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe\xe2\x80\x99s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit,About the TeamThe DCO team comprises of business intelligence and digital consulting professionals with expertise in the domain of e-commerce/online retail focused on customer analytics and insights. The team uses the power of data analytics and industry research to ensure supreme customer experience on Lowes.com, which is one of the most crucial levers in driving online revenue growth.Job Summary:The Senior Analyst leverages the online business data to identify major financial and customer improvement opportunities for the business. The Senior Analyst will identify new opportunities in sales, traffic, conversion, AOV, Inventory, Cancels, Returns, Delivery SLAs and other digital metrics. The Senior Analyst partners with team members of the Digital Commerce organization to build compelling insights and recommendations that can drive positive category performance and outcomes. The Senior Analyst will also support tracking of actions taken by the partner teams and monitor their category, financial, and customer performance impact against the business objectives.Roles & Responsibilities:Core Responsibilities:

  • Understanding online and e-commerce business at a category level, onsite behavior, marketing channels, product preferences, qualitative feedback, etc.; Build on the fly dashboards & apply advanced analytics methods to draw insights, and then translate them into business recommendations
  • Collect, verify, analyze and summarize data using a variety of digital analytics tools and platforms to derive compelling insights and highlight performance trends that can be used to improve user experience.
  • Assist with quantitative and qualitative research to support digital initiatives such as content development, Category page redesign product development, and new business initiative
  • Maintain and distribute daily, weekly and event reports
  • Do market study and provide competitive intelligence to understand best industry practices with the focus of enhancing digital customer experience ( e.g. Hierarchy and attribution)
  • Responsible for hands-on working at various nodes of data-driven consulting process: right from pulling and aggregating data from various sources, churning insights and recommendations for the category short term and long term strategy with stakeholder
  • Utilize programmatic and quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions
  • Understanding of Programming experience in (Python/R); Practical knowledge of data in various forms (data warehouses/SQL, unstructured data environments/HIVE, Impala); Familiarity with BI reporting tools (Google analytics, Adobe, etc)
Years of Experience:
  • 4-6 years relevant experience
Education Qualification & Certifications (optional) Required Minimum Qualifications:
  • Bachelor\xe2\x80\x99s degree in engineering, Business, marketing, finance or related field.
Skill Set RequiredPrimary Skills (must have)Technical skills :
  • Excel
  • SQL
  • Python/R
  • Any visualization tool
Functional Skills :
  • Data Analysis and Insight Generation
  • Research on potential opportunity
  • Retail knowledge; Ecommerce/Digital Analytics
  • Gathering & Compiling of Data in a cohesive manner
  • Accountability for tactics implemented based on plans and getting to quantitative impact
  • Statistical Modeling
Soft Skills (Advanced) :
  • Communication
  • Problem Solving
  • Industry trend knowledge
  • Presentation skills
Lowe\'s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

Lowe\xe2\x80\x99s

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Job Detail

  • Job Id
    JD3438420
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year