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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?

Wise Skulls Salaries by Position

Title: Business Analyst - AI/ML Location: Cupertino, CA (Hybrid) Duration: 6+ months Implementation Partner: Infosys End Client: To be disclosed JD: Minimum Years of Experience: 8+ Years We are looking for a Business Analyst with experience working closely with data scientists or rolling out AI/ML capabilities in their solutions. Ideally, the candidate will have a data science background or experience running POCs based on available data. This is a heavily business-facing role, focused on understanding requirements from Sales and Finance teams, analyzing how different data points relate, and ultimately producing insights that explain past performance or predict future sales trends. The selected resource will also collaborate closely with internal technical teams to productionize these insights using the reporting platforms managed by the team. Key Responsibilities: <ul> <li>Work with Sales and Finance teams to understand their business needs and requirements.</li> <li>Analyze data relationships and generate insights that explain past or predict future sales performance.</li> <li>Collaborate with data scientists to roll out AI/ML solutions, including running POCs using available data.</li> <li>Bridge the gap between business teams and technical teams to ensure productionized solutions align with business goals.</li> <li>Utilize internal reporting platforms to deliver insights across the organization.</li> </ul>Requirements:<ul> <li>Experience: Strong background in business-facing roles with a focus on AI/ML and data science projects.</li> <li>Skills: Ability to run POCs, analyze data points, and deliver actionable business insights.</li> <li>Communication: Strong communication skills to collaborate with Sales, Finance, and technical teams</li> </ul>

About our Client Our client is one of the leading retail companies globally. Designation: Business Analyst - AI/MLLocation: Cupertino, CA (Hybrid)Experience: 8+years JD: Minimum Years of Experience: 8+ Years We are looking for a Business Analyst with experience working closely with data scientists or rolling out AI/ML capabilities in their solutions. Ideally, the candidate will have a data science background or experience running POCs based on available data. This is a heavily business-facing role, focused on understanding requirements from Sales and Finance teams, analyzing how different data points relate, and ultimately producing insights that explain past performance or predict future sales trends. The selected resource will also collaborate closely with internal technical teams to productionize these insights using the reporting platforms managed by the team. Key Responsibilities: <ul><li>Work with Sales and Finance teams to understand their business needs and requirements.</li><li>Analyze data relationships and generate insights that explain past or predict future sales performance.</li><li>Collaborate with data scientists to roll out AI/ML solutions, including running POCs using available data.</li><li>Bridge the gap between business teams and technical teams to ensure productionized solutions align with business goals.</li><li>Utilize internal reporting platforms to deliver insights across the organization.</li></ul> Requirements: <ul><li>Experience: Strong background in business-facing roles with a focus on AI/ML and data science projects.</li><li>Skills: Ability to run POCs, analyze data points, and deliver actionable business insights.</li><li>Communication: Strong communication skills to collaborate with Sales, Finance, and technical teams</li></ul> If you are interested in this role, please attach your updated resume while applying. You can share your resume on moin@wiseskulls.com

Job Title: Business Analyst - GoldenSource Location: Edison, NJ (On-site) Duration: 6+ Months Implementation Partner: Infosys End Client: To be disclosed JD: <ul> <li>5+ years of experience</li> <li>Strong experience in GoldenSource Security Master.</li> <li>Hands on strong experience in SQL, Excel.</li> <li>Capital Market- Strong in Asset Management</li> </ul>

Business Analysts with in-depth experience in Investment Banking with Eagle Investment Accounting Product Knowledge. Investment Management Business areas supported include Corporate Actions, Trade Operations, Portfolio Accounting, Pricing, Collateral Management, and Derivatives Trade workflow. Business and Operational knowledge of Equities, Futures, Forwards, Options, OTC and Cleared Swaps, Mutual Funds, Structured Products, ETF, Fixed Income Securities and Alternative Investments like Private Equity & Hedge Funds is necessary.
Mandatory Skills:
Eagle STAR Application/PACE expertise
Business Analysis expertise in Investment operations or similar
Asset Management/Capital Markets Knowledge
Qualifications
Preferred Experiences:
8 to 12 years of experience in Eagle implementation or BAU projects
Strong expertise on the following Eagle Investment Systems suite of products: STAR Accounting, PACE, Pricing Center, Reporting, and Performance Measurement module
Understanding of Trade Processing, Portfolio Accounting, Pricing and Collateral Management business concepts are required
Ability to write complex SQL to query large data sets within Eagle PACE across multiple schemas
Ability to document current and target state business functional workflows using tools such as Microsoft Visio and PowerPoint
Good working knowledge of trading workflow and interface between various OMS systems such as Charles River and Murex, and Eagle for the various Asset Classes is a plus.
Also desirable would-be direct experience working with external financial market data vendors like Bloomberg, IDC, S&P, Reuters, & FACTSET.

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