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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Lands' end Salaries by Position

Job Category: Data Analytics/Warehousing, & BI
Requisition Number: DATAA005047
<ul>
<li>Posted: February 2, 2024</li>
<li>Closed: April 16, 2024</li>
<li>Full-Time</li>
</ul>
<h3>Locations</h3>
Lands' End Inc (B1) Corporate Headquarters 1 Lands' End Ln Dodgeville, WI 53595, USA
*This is a hybrid role with three weeks per month onsite (Mon – Thurs).
People are the heart of our company, and our doors are open to everyone. As a customer, as an employee – we are committed to creating an inspiring culture that is welcoming, safe and inclusive for all. Our strength in work and life comes from the combination of our experiences, backgrounds and talents. It’s what we do as people that makes Lands’ End a great place to shop and a great place to work.
As a Data Analyst, you will be responsible for creating and maintaining reports, dashboards, and other data visualization tools used to communicate findings to supporting areas within the Lands’ End Outfitters Division. This position engages in developing various business tools and reports to support initiatives across the division’s key functional areas, while also looking for trends and patterns to help improve business operations. Assignments are generally in the form of broad outlines of desired results and objectives with general guidance. This role requires experienced judgment, the ability to carry out assignments independently, and being able to work in a fast-paced, deadline-driven environment.
Responsibilities
<ul>
<li>Collaborate with cross-functional teams to understand business needs and requirements for reporting and analysis while being the subject matter expert.</li>
<li>Facilitates the development of effective business reporting for the division while also identifying opportunities for process improvements and automations to increase efficiency and effectiveness of reporting.</li>
<li>Develop and implement data quality checks to ensure accuracy and consistency of data.</li>
<li>Assist with the design, development, and deployment of technology improvements.</li>
</ul>
Qualifications
<ul>
<li>Bachelor's degree in a related field such as Data Analytics, Finance, or Business</li>
<li>2+ years of experience in data analysis, dashboard and report building, or business intelligence</li>
<li>Advanced proficiency in Microsoft Excel, Microsoft Access, and SQL</li>
<li>Experience with data visualization tools such as Tableau, Power BI, or QlikView</li>
<li>Strong attention to detail, accuracy is critical</li>
<li>Knowledge of database design, data warehousing principles, and the ability to work with large complex datasets</li>
<li>Excellent prioritization, multi-tasking, and organizational skills.</li>
<li>Excellent interpersonal, written, and verbal communication skills.</li>
<li>Ability to communicate to both technical and non-technical audiences effectively.</li>
</ul>
Preferred Skill
<ul>
<li>Retail background - product process and an understanding of how data defines process points</li>
</ul>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Job Category: Data Analytics/Warehousing, & BIRequisition Number: DATAE005479<ul><li>Posted: August 27, 2024</li><li>Closed: November 13, 2024</li><li>Full-Time</li><li>Hybrid</li></ul><h3>Locations</h3>Lands' End Inc (B1) Corporate Headquarters 1 Lands' End Ln Dodgeville, WI 53595, USA* This role is eligible to be performed remotely, however, if you reside within 60 miles of Lands’ End’s offices in Dodgeville, WI or New York, NY, you will be expected to collaborate onsite in a hybrid fashion for up to 12 days per month.We are looking for a savvy Data Engineer to join our growing team of analytics and data science/engineering experts. You will be responsible for supporting marketing-related executive reporting, data requests, converting existing processes to open-source technologies, and playing an important role in data governance at Lands’ End.As a key member of our data engineering team, you will support the team’s data scientists and data analysts on data initiatives. You are self-directed and comfortable supporting the data needs of multiple teams, systems, and products. You would be excited by the prospect of optimizing or even helping redesign the company’s data architecture to support next generation architectures and processes.To help with your efforts, you can expect a comprehensive technology stack, very talented co-workers, an AWS-based analytics environment with a comprehensive array of online and offline data, and a data science team developing algorithms to enhance business performance and the customer experience using agile development processes. Because of its dedication and efforts, Lands’ End is #19 on the NRF’s list of fasting growing retailers and an Internet Retailer top 1000 company, and a great part of your future.Responsibilities<ul><li>Creating code for production and ad hoc reports, analysis, analytics, and data requests using open-source technologies</li><li>Design effective visual interfaces using BI technologies riding atop your custom data structures</li><li>Consult with business leaders using data and analysis as the foundation of your guidance and recommendations</li><li>Automate business processes</li><li>Be a key member of the data governance process at Lands’ End while ensuring data quality and relevance</li><li>Assemble sometimes large, complex data sets that meet business requirements</li><li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics</li><li>Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader</li><li>Support the marketing efforts of ecommerce, email, catalog, merchandising, retail, and market research</li><li>Share technical knowledge and mentor other staff members within broader analytics and e-commerce communities</li></ul>Qualifications<ul><li>Experience in a Data or Reporting Engineering role and attained a BS in Computer Science or related field. Applicable graduate work is a plus.</li><li>Advanced working SQL knowledge, and experience (~ 4+ yrs) working with relational databases, complex query authoring (SQL), query debugging, as well as working familiarity with a variety of databases. Must have demonstrated experience in various joins, use of subqueries, use of join keys and where filters, and joining multiple tables.</li><li>Strong Python skills and experience (~ 2 yrs +), with PySpark experience a strong plus</li><li>Experience and skill with data visualizations and creating presentation layers with BI technologies. Experience with open source BI tools is a plus.</li><li>A passion for data – understanding its sources, uses, strengths, and weaknesses. An understanding of the principles around effective data governance in a corporate environment, and a knack for data quality.</li><li>Able to set clear and comprehensive requirements, and communicate clearly in both speaking and writing</li><li>Items that would be a strong plus: Spark, Cloud experience (AWS a plus), strong Linux skills, Postgres/Netezza, experience with MS SQL Server</li><li>Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement</li><li>Strong project management and organizational skills</li></ul>
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