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Staples

Data Analyst II - Digital Analytics

Staples

Framingham, Massachusetts, United States · पूरा समय

अप्लाय करने वाले प्रथम बनिए

अनुभव
2+ वर्ष
वेतन
उद्घाटन
1
की तैनाती
2 पहले
कार्य मोड
कार्यालय में हूँ
शिक्षा
Bachelor's Degree
फिर शुरू करना
आवेदन करना आवश्यक है

आप कहाँ काम करेंगे

नौकरी का विवरण

Position Overview

We are seeking a seasoned Digital Analyst to support Staples' B2C and B2B digital strategies, focusing on improving the purchase experience across both Web and App platforms. This role is pivotal for deriving actionable insights and delivering recommendations that enhance the customer journey end-to-end. The analyst must be adept at managing multiple initiatives within a dynamic environment while ensuring precision and timely delivery.

Key Responsibilities

  • Collaborate extensively with Product Management and Digital Experience teams to analyze and improve the full purchase path on Web and App interfaces.
  • Serve as the go-to expert on A/B testing and experimental design, offering guidance to ensure campaigns are properly structured for valid data capture and reliable impact evaluation.
  • Develop self-service dashboards to empower Analytics teams and stakeholders with transparent visibility of customer engagement and identify areas for experience enhancement.
  • Employ strong analytical capabilities combined with business insight to address complex challenges, convey findings clearly, and enhance reporting frameworks.

Candidate Profile

We seek a cooperative, inquisitive problem solver who excels in customer-focused, agile settings. Strong interpersonal and communication skills, complemented with critical thinking, are essential. The ideal candidate can dissect complex issues, present data persuasively, and effectively liaise across diverse teams.

Mandatory Qualifications

  • Bachelor's degree in Data Analysis, Computer Science, Statistics, or a closely related discipline, or equivalent professional experience.
  • Minimum of 2 years' experience as a Data Analyst or similar role.
  • At least 2 years' hands-on experience in A/B testing and other experimental methodologies such as pre/post-test, synthetic control, and multi-armed bandit strategies.
  • Proficiency in data querying/processing languages including SQL and either Python or R.
  • Experience utilizing data visualization platforms like Power BI; familiarity with Adobe Analytics is advantageous.

Preferred Qualifications

  • Master's degree in a relevant field.
  • Experience with predictive analytics and machine learning techniques.

Employee Benefits

  • Inclusive culture supported by associate-led Business Resource Groups.
  • Generous paid time off with 22 flexible PTO days plus 7 paid holidays annually.
  • Access to online and retail discounts, company-matched 401(k) plans, and wellness programs addressing both physical and mental health.

Additional Information

The salary range disclosed at posting time reflects anticipated compensation, which may vary based on factors such as individual experience, skills, education, geographic location, company policies, and internal pay scales. Aside from base salary, this position could qualify for bonuses or other variable pay incentives.

Work styles they’re looking for

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