Hiring Organization: Target

Post Name: Director Data Analytics

Qualifications: Graduation

Work Hours: 8

Salary: $20-$30/Hour

Locations:  Sacramento, USA

Job Description:

Working at Target means having the opportunity to help all families discover the joy in everyday life. Caring for our communities is who we are, and we invest in the places where we collectively live, work and play. We prioritize relationships, nurture and develop talent by creating opportunities for growth, and succeed as a focused team. Fundamentally, our purpose is rooted in who we are, what we value, and how we work. This is how we care, grow and win together.

Behind Target's most beloved brands are an exceptionally capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team builds the tools and data products to sustainably educate and empower our business partners to make big data-driven decisions at Target. We help develop the technology that personalises the guest experience, from product recommendations to relevant advertising content. We're also the data and analytics source behind Target's Internet of Things (iOT) applications, fraud detection, supply chain optimization, and demand forecasting engine. We play a key role in identifying A/B testing opportunities that continually help Target improve the guest experience, whether they enjoy shopping in-store or online at Target.com. A role in our Digital Marketing, Analytics and Insights group means being part of the team that enables faster, smarter and more scalable decision-making to compete and win in the modern retail marketplace! Here, you'll leverage data, insights, and visualizations to create actionable insights that deliver value across all Target functions. Our experienced reporting and analytics professionals use market-leading tools and data automation to make a positive impact felt across the business. If you are a leading analyst who can work in autonomous teams, integrate the latest practices with your approach, write code to handle large scale, simplify complex decisions by providing flexible, fast and sustainable decision solutions, then you will be very successful in our team BIA!

As DSA Principal, you will take the lead as you...

• Supports the business with timely insights and data products that inform and optimize decisions in functional areas including product management, UX, technology, marketing and go-to-market.
• Collaborate with functional leadership (e.g. product management, UX, technology, digital merchandising and marketing) to influence, create and execute product roadmap. Influence business leaders, peers, and technology partners to mature the databases, analytical skills, and mathematical applications that drive business.
• Manage multiple resources and analytics projects concurrently to ensure successful completion, including timeliness, quality, and impact
• Evangelize the use of analytics and data science
• Democratize data and insights as you seek to provide self-service tools to your partners and empower them to make better decisions faster
• You deliver executive-level business case presentations that successfully communicate teamwork
• Conduct best practices in experimental design and test and learn activities.
• Translate business strategy into analytical workflows that support the business
• Raise the collective level of the team through problem identification, development of solution options and effective delivery
• Lead a team of BI professionals and statistical analysts who provide strategic project guidance and development guidance, helping shape future leaders at Target. Actively lead team members focused on modeling, reporting, and analytics to become user-centric and deliver high-quality results.
• Create an environment where data and analytics professionals can develop their skills and grow their careers by taking on more responsibility and adding value to the organization.
• Provide thought leadership on how we measure a business area from the code we use to collect data to the application of insights from reporting and analysis based on that data, to hold products and companies accountable for results versus goals and objectives
• Effectively communicate, tell stories, and educate business leaders by leveraging data, insights, evidence, and measurement plans.
• The key responsibilities for this job are outlined in this job description. Job duties can change at any time due to business needs.

About you:

• Bachelor's degree in Computer Science, Applied Mathematics, Physics, Statistics, Economics or other related quantitative field
• 12+ years of experience providing analytics in the development of BI solutions including: analysis, design, coding, testing and reporting across a variety of domains
• Digital: funnel optimization (search, navigation, payment), experimental design, incremental analysis
• Merch: content effectiveness, category performance, quant prediction, brand endorsement, brand launches, etc.
• Marketing - Traffic
• 2+ years experience in team leadership, management and mentoring.
• Strong executive-level customer-facing skills and ability to confidently communicate complex analytical concepts to a non-technical executive audience.
• Understand the product model and the ability to work with and lead an Agile team
• Experience in Hadoop ecosystem and data visualization tools (DOMO, Tableau, PowerBI) and automation tools
• 6+ years experience with web data, e.g. Adobe Analytics, Google Analytics (or similar)
• 6+ years of SQL experience - Advanced SQL knowledge is required
• Extensive experience in designing and preparing A/B test reports. Excellent skills in MS-Excel and PowerPoint
• Good understanding of data structures and algorithm design.
• Good understanding of mathematical concepts and ability to understand complex mathematics.
• Knowledge of at least one programming language, including Python, R, SQL, Java/Scala, etc.

Preferred Qualifications:

• Master's Degree in Computer Science, Applied Mathematics, Physics, Statistics, Economics or other related quantitative field
• Strong analytical skills, including model development, hypothesis design and testing, and the ability to teach analytical concepts to others.
• Experience leading projects involving complex BI requirements, a variety of business stakeholders, and a team of BI professionals with a variety of skills
• Experience building data governance frameworks
• Proven experience in learning new tools and technologies
• Experience developing future leaders in a data-rich environment

Top 20 Common Interview Questions

1. Tell me about yourself.
2. What are your strengths and weaknesses?
3. Why do you want to work for our company?
4. What experience do you have that makes you a good fit for this position?
5. What are your long-term career goals?
6. How do you handle stress and pressure?
7. Can you give me an example of a time when you had to resolve a conflict with a colleague?
8. What do you know about our industry/competitors?
9. How do you stay organized and manage your workload?
10. Can you describe a time when you had to think creatively to solve a problem?
11. How do you handle criticism or feedback?
12. What motivates you to perform at your best?
13. How do you prioritize tasks and manage your time effectively?
14. What do you think are the most important qualities for success in this role?
15. Can you describe your leadership style?
16. Can you walk me through your resume and explain any gaps or inconsistencies?
17. What do you think sets you apart from other candidates?
18. How do you handle ambiguity or uncertainty in a project?
19. Can you give an example of a time when you had to adapt to a new situation quickly?
20. What questions do you have for us?

It's important to prepare for these types of questions and think about how you can best showcase your skills and experience to demonstrate why you're the right fit for the job.