Senior Data Analyst

About Us:

We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.   

One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here.

POSITION SUMMARY:

The Supply Strategy Data & Analytics (SDA) team plays a key role in catering to the reporting and analytics needs of PVH Supply (the Global Supply Chain function).

Working as a part of the SDA team, the Data Analyst will leverage her/his technical and analytical skills on multiple reporting & analytics deliverables (regular / ad-hoc / project based) that will in-turn enable PVH Supply leadership with data & insights to make informed decisions. The ideal candidate must be well experienced in building data sets, reports and dashboards with an eye for automating repeatable tasks. S/he must also as possess the self-motivation and drive to work on individual tasks & project related activities with minimal supervision while being a strong team player.

PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:

• Analyze & report internal and external data relevant to PVH Supply
  • Gather/ extract, cleanse, standardize, and integrate multiple data sets.
  • Create reports / dashboards using available tools
  • Convert business rules to code in SQL/Python/R to cleanse and derive insights.
  • Use statistical methods to analyze and derive trends from the data
  • Present quantitative insights in a simple & effective way to leadership
• Understand evolving Internal Supply chain systems landscape and architecture
  • Analyze data from multiple supply source systems and standardize and harmonize data from those systems.
• Identify and automate data flows and processes wherever feasible.
• Perform variety analyses, hypothesis testing, and causal analyses to statistically assess data trends and communicate the insights.
• Individually manage the delivery of day-to day and ad-hoc data analysis requests supporting the PVH Supply business groups as required
• Collaborate with a wide variety of stakeholders - US SDA counterparts, Vendor Management Team, Brands and Businesses, TPG, CR Team &  external service partners to leverage appropriate data sources for analysis and reporting

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  INTERNAL & EXTERNAL CONTACTS:

  Internal:  US SDA counterparts, Vendor Management Team, Brands and Businesses, TPG, CR Team & external service partners to leverage appropriate data sources for analysis and reporting

  DECISION MAKING:  Day-to-day decisions on data and reporting parameters and development. Elevate issues to the appropriate channels

  RESOURCEFULNESS/CREATIVITY:                  

• Comfortable working with incomplete or inconsistent data sets, changing business needs and evolving strategic direction.
• Able to translate data results into easy-to-understand visuals and concise executive summaries
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts.
• Self-motivated to seek connections, ask questions and challenge assumptions to understand underlying business needs and design solutions accordingly
• Must be eager to learn business and technology and flexible to upskill/cross-skill.
• Ability to work on multiple projects at the same time

QUALIFICATIONS & EXPERIENCE:

Experience: 1 to 3 years of relevant experience.

Education: Bachelor’s degree in Engineering, Science or similar quantitative field required, Master’s degree a plus

Technical Skills (Must have)

• Strong expertise with MS Excel (Pivot tables, look-up formulas, handling large volumes of data)
• Strong expertise with data mining using SQL
  • Ability to query and manipulate datasets using SQL.
  • Ability to write complex queries to model business rules.
  • Solid understanding of Relational data models.
• Strong expertise with open-source programming languages for data analysis (R or Python)
  • Ability to import/export and manipulate data to cleanse / mine insights
  • Ability to code business rules to achieve resultant data sets.
  • Ability to perform statistical analysis and modelling.
• Intermediate expertise in data visualization using tools like Tableau / PowerBI / Microstrategy
  • Create / publish dashboards based on approved wireframes / design mockups

Technical Skills (Good to have)

• Exposure to at least one ETL/Data Integration tool (Informatica ,Talend ,Alteryx, Databricks etc)
• Exposure in creating wireframes / mockups to visualize data
• Exposure to automating Excel tasks using VBA macros will be a plus
• Intermediate to strong expertise in using PowerPoint to present analysis findings and provide insights
  • Exposure to creating senior leadership level executive presentations
• Prior experience / exposure to applying analytics in a Supply Chain environment will be a plus!

PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential.