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Associate Digital Marketing Strategy

Target

Associate Digital Marketing Strategy

Target

Bangalore,India

·

On-site

·

Full-time

·

5d ago

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

As an extension of the beloved in-store experience Target guests expect and deserve, the teams within Site Merchandising and Site Merchandising Operations focus on increasing digital topline sales through optimizing conversion, profitability and the overall site experience. Here, you’ll apply your expertise for digital merchandising, guest experience development and curation. Bring your grasp of online testing, data and analytics to ensure that the guest experience online is as convenient, intuitive and satisfying as can be. Your work will support the best possible search and browse functionalities, including content and continuous site navigation refinement. You’ll also contribute to robust financial accountability, reporting and monitoring.

As Site Merchandiser in Site Merchandising, you will bring a category-specific e-commerce experience to life through core digital merchandising tactics. The scope of your role includes:

  1. Experience. Implement and optimize site merchandising strategies that focus on conversion, findability, maximizing guest engagement, and frictionless shopping. Tactics include, but are not limited to: traffic optimization, site taxonomy and attribution management, navigation, facets, sort, internal search optimization, item level content, cross-sell/up-sell, and item data remediation and attribution.
  2. Content. Provide business inputs and context to creative teams for execution, ensuring content is revenue-driving, on brand, and impactful.
  3. Analytics. Monitor Key Performance Indicators (KPIs) across all devices and platforms, guest behavior, market trends, and competitive insights to optimize short-term performance and to influence longer term strategies.
  4. Cross Functional Partnerships. Establish strong relationships across both functional and category peer groups.
  5. Results. Feeling of personal accountability for delivering financial goals (sales and profit) and objectives for the category.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About you:

  • Four-year degree or equivalent experience
  • 2+ years of e-commerce experience
  • High level of personal accountability in executional details
  • Business acumen with an entrepreneurial, revenue-generating mindset
  • High level of initiative and organization, with the ability to manage ambiguity, risk, uncertainty and changing directions
  • Ability to build and leverage strong cross-functional relationships
  • Strong analytical and quantitative skills, including financial and business metrics in addition to site metrics

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About Target

Target

Target

Public

Target Corporation, doing business as Target, is an American retail corporation headquartered in Minneapolis, Minnesota, United States. Target operates retail stores. It is the eighth-largest retailer in the United States and is a component of the S&P 500 Index.

10,001+

Employees

Minneapolis

Headquarters

Reviews

3.2

19 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.5

Career

2.0

Management

1.2

15%

Recommend to a Friend

Pros

Hard-working employees acknowledged by management

High-paying corporate positions available

Some competitive salary offers

Cons

Mass layoffs and job cuts

Poor management and leadership decisions

Toxic workplace culture

Salary Ranges

25 data points

Junior/L3

Mid/L4

Director

Junior/L3 · Decision Sciences Analyst

1 reports

$104,000

total / year

Base

$80,000

Stock

-

Bonus

-

$104,000

$104,000

Interview Experience

46 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 65%

Neutral 21%

Negative 14%

Interview Process

1

Recruiter Screen

2

ML Coding

3

ML System Design

4

Research Discussion

5

Team Interviews

Common Questions

ML fundamentals

Design an ML system

Research paper discussion

Statistical concepts