Sr Data Analyst(Remote Or Hybrid) id-91250

Pay is based on several factors which vary based on position. These include labor markets and in some instances may 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 .

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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 Targethere. (https://corporate.target.com/about)

A role within Marketing Analytics and Insights means being a part of the team that enables faster, smarter and more scalable decision-making to compete and win the modern retail market. Here, 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. If you're an analyst who can work on autonomous teams, integrate the latest practices with your approach, write code to handle massive scale, simplify complex decisions by providing flexible, fast and sustainable decision-making solutions, then you'll be successful here.

The Loyalty Analytics team is committed to driving growth and change through data-driven insights. Our team is pushing for innovation and leveraging analytics to shape the future of Target. We are looking for a Senior Data Analyst who is passionate about data and eager to make a significant impact.

The Senior Data Analyst plays a crucial role in our analytics team, providing deep insights and strategic recommendations to drive business growth. This position requires a highly analytical individual with strong problem-solving skills and the ability to work collaboratively with cross-functional teams.

Key Responsibilities:

Analyze complex data sets to identify trends, patterns, and insights that can drive business decisions.

Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

Collaborate with stakeholders to understand their analytical and reporting needs and provide actionable insights through the resulting work.

Conduct ad-hoc analyses to support business initiatives and solve business problems.

Present findings and recommendations to key leaders and other stakeholders.

Mentor and guide junior analysts in best practices and advanced analytical techniques.

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 in a technical field (Statistics, Mathematics or a related field) or equivalent experience

Advanced technical degree a plus

3+ years in quantitative data analysis, with strong industry performance

5+ years experience preferred

Demonstrated problem solving and analytical skills, with a curious mindset and strong attention to detail

Robust data mining and data creation ability

Ability to support conclusions and recommendations through a clear, understandable story that leverages insight drawn from descriptive statistics, basic inferential statistics, and data visualizations

Strong communication skills with the ability to speak to both business and technical teams

Strong understanding of statistical methods and techniques

Proven ability to work collaboratively in a team environment

Proficiency in analytical and data visualization tools including: SQL, Hadoop, Hive, Spark, Python, R, Power BI, Tableau and/or equivalent technologies

Advanced SQL experience writing complex queries

Intermediately accomplished with Python or R

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