Sr. Manager Data Analytics ID-1386

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

Remote Data Entry, No Experience, $40/hr, Part-Time
Virtual Assistant, $45/hr, Remote, No Experience, Night Job
Entry-Level Remote Data Entry, $50/hr, Evening Job
Customer Support, No Degree, $40/hr, Remote, Weekend Job
Remote Phone Job, $42/hr, Part-Time, College Student Friendly
Virtual Assistant, $40/hr, Remote, No Degree, Night Job
Part-Time Data Entry, $45/hr, Remote, College Student Friendly
Remote Moderator, No Degree, $50/hr, Evening, Weekend Job
Remote Customer Support, $42/hr, Night Job, No Experience
Live Chat Support, $40/hr, Remote, Entry Level, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Data Entry, $45/hr, No Degree, Night Shift
Part-Time Customer Support, $40/hr, Remote, College Student
Remote Live Chat, $50/hr, Part-Time, Evening/Night Job
Entry Level Phone Job, $42/hr, Remote, No Degree Required
Weekend Data Entry, $45/hr, Remote, No Experience
Remote Virtual Assistant, $40/hr, Evening, Part-Time Job
Remote Moderator, $42/hr, Part-Time, Weekend, No Degree
Data Entry, $45/hr, Remote, Night Shift, College Student Job
Phone Support, Remote, $50/hr, No Experience, Part-Time
Virtual Assistant, No Experience, $42/hr, Remote, Weekend
Remote Customer Support, $45/hr, Part-Time, College Student
Data Entry, Remote, $40/hr, Night Shift, No Degree
Evening Virtual Assistant, Remote, $45/hr, No Experience
Weekend Customer Support, $42/hr, Remote, College Student
Remote Data Entry, $50/hr, No Experience, Evening/Night Job
Virtual Assistant, $42/hr, Remote, Weekend, Entry Level
Remote Phone Support, $45/hr, Evening, No Experience Required
Data Entry, No Experience, $50/hr, Remote, College Student
Remote Moderator, $40/hr, Weekend, No Degree, Part-Time

 

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.

 

Behind Target's best loved brands is a uniquely capable and brilliant team of data scientists, engineers, and analysts.The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target.We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content.We play a key role in identifying the A/B test opportunities that continuously help Target improve guest experience - whether they love to shop in stores or online at Target.com.

 

A role with our Guest Engagement and Marketing Analytics and Insights group means being a part of the team that enables faster, smarter, and more scalable decision-making to compete and win the modern retail market!We're a student of our guest. You'll leverage data, statistics, and visualization to create the actionable insights that deliver value across all Target functions.Our savvy reporting and analytics pros use market-leading tools and data automation to make a positive impact that's felt across the business.

As a Senior Manager Data Analytics with the Guest Engagement and Marketing Analytics team, you will:

  • Champion Target's data-driven culture, working closely with Marketing team, to advocate for the use of insights that will direct Marketing Effectiveness efforts towards initiatives with the highest impact.
  • Build a high performing team through talent pipeline planning, hiring, setting clear expectations and performance management.
  • Lead a Marketing data analysts team providing strategic guidance on projects and development monitoring day-to-day measurement, tracking, and reporting, or forecasting marketing effectiveness using MMM and MTA models, etc.
  • Design and build self-service dashboards using a mixture of analytical and visualization techniques to derive actionable insight from data to influence business and product decisions.
  • Dive deep into data to proactively identify trends, behaviors, and opportunities to provide actionable insights and identify new opportunities.
  • Develop test plans, define a hypothesis and relevant success metrics, analyze, and transform raw data into actionable insights, and distribute test results to stakeholders.
  • Synthesize analysis and results in compelling storylines and communicate to influence key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution.
  • Develop comprehensive understanding of current stakeholders' strategic needs across digital platforms. You'll use your analytical expertise to help determine priorities and areas of focus.
  • Identify new data to be collected for measuring the success of new products and features, define KPIs, and work with engineering on tracking and instrumentation of data. Partner with data product teams to sustainably automate/enhance data.
  • Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance.

About You/Requirements:

  • BA/BS degree in a technical or quantitative field; or strong equivalent marketing analytics experience
  • 6+ years of work experience in BI, analytics, consulting, agency, in marketing and/or retail preferred
  • Proficient SQL experience writing complex queries ideally with large volumes of data
  • Proficient data visualization skills in Tableau, Domo, Looker, etc. (Domo is a plus)
  • Basic to Intermediate skills in conducting analysis using Adobe Analytics
  • Candidates with data science (regression, clustering, forecasting, design of experiments) skill is a plus.
  • Strong communicator capable of interfacing at senior levels
  • Ability to identify and succinctly summarize roadblocks, constraints, and trade-offs, propose potential solutions, and drive toward resolution
  • Intellectually curious, high energy with a strong work ethic

This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member worksfull-time from home oran alternatelocation that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

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