Sr. Mgr Data Analytics
5 days ago
About us:
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It's how we care, grow, and win together.
A role in Merchandising Capabilities means partnering with Merchndising, technology, data science and analytics leaders to co-create solutions that maximizes business value and enables key strategies that are critical to the enterprise and for the experiences we create for our guests. Truly an owner and expert of your product and underlying processes, you will set the vision, align on the roadmap and mobilize teams to deliver needed outcomes. Given most strategies have a business impact, you will also serve as a trusted resource to guide other enterprise partners in their solutions to ensure the success and integrity of end-to-end deliverables.
As a Sr. Manager, Data Analytics in Merchandising you will be responsible for reporting, analysis, automation, and data for a specific business function within our Merchandising organization. In this role, you will serve as an advocate of our data-driven culture, build an effective reporting/data/automation ecosystem that informs and influence business decisions, and provide strategic recommendations on data analytics and automation solutions – in partnership with your team of Data Analysts. You will partner with stakeholders to identify and prioritize the most valuable work for your team to deliver, creating a roadmap for when work will be delivered, along with vision for the team. Through all this, you will build a high performing team through talent pipeline planning, hiring, setting clear expectations, and performance management. You'll partner closely with our Finance, Product Management, and Data Sciences partners to identify gaps in reporting and
analytics offerings and democratizing data and insights as you strive to deliver.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
As a Sr Manager Data Analyst for Target's Merch Data Analytics team you'll:
Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data.
Interfaces with Target business representatives to validate business requirements/requests for analysis and present analytical results.
Designs, develops, and delivers analytical solutions resulting in decision support or models
Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners
Lead the team of 5-10 analysts.
Evaluates processes, analyzes and interprets statistical data
Develop business acumen and cultivate client relationships
Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms.
Develop analytical methodologies used in the execution of analytical projects
Participate in knowledge sharing system to support iterative model builds
Adheres to corporate information protection standards.
Keep up to date on industry trends, best practices, and emerging methodologies
About you:
Undergraduate Degree in Information Technology, Computer Science, Applied Mathematics, Statistics, or related work experience
Minimum of 12 years of experience in data analytics and min. 2 year as people manager.
Demonstrates understanding of capabilities available in data and analytical tools (e.g. Hadoop, Postgres, or equivalent) and data visualization tools (e.g. Domo, PowerBI, or equivalent)
Has strong problem solving, analytical, and communication skills and ability to manage ambiguity
Exposure and extensive hands-on work with large data sets.
Hands on experience in R, Python, Hive or other open-source languages/database
Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above
Git source code management & experience working in an agile environment. Strong attention to detail, excellent diagnostic, and problem-solving skills
Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines
Excellent communication, service orientation and strong relationship building skills
Experience with Retail, Merchandising, Marketing will be strong addons
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