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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?

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?

Fictiv Salaries by Position

Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster
Fictiv, coined the “AWS of manufacturing,” is a leading technology company transforming the $350 billion manufacturing industry. Our cutting-edge cloud platform uses AI and machine learning algorithms to help companies build hardware at the speed of software. Come join our growing team!
Impact In This Role The Data Engineering & Analytics team creates reports and dashboards to provide meaningful insights from the data warehouse. This team works very closely with cross-functional stakeholders and leverages multiple different Business Intelligence (BI) technologies to achieve these goals. As a Data Analyst, you will support a wide range of cross-functional stakeholders in the everyday understanding of our data warehouse and reporting environment. You will serve as a driver between the business and technology in understanding the business problems that need to be solved. You will collect requirements, ensure consistency and adherence to company-wide definitions, and translate the functional requirements into technical details upon which data reports can be built. You will also ensure that the data reports comply with enterprise reporting standards. This is a ‘hands-on’ role and is responsible for leading the collaboration with cross-functional peers to build dashboards and reports to monitor progress, answer business questions, and ensure key management reports are available and accurate. You will partner with the Data Analytics Manager to support and scale our analytics. SQL should be your tool of choice when it comes to pulling datasets, and you can paint a great visual picture of our complex data. You will collaborate with peer Engineering technical leads in many different disciplines, Product Owners, and Business Analysts to drive workflows and with stakeholders to understand and measure company goals. You will mentor and shepherd best practices amongst the extended cross-functional teams to ensure appropriate hygiene of Fictiv’s reporting environments and to allow users to be self-sufficient.
What You’ll Be Doing
Lead the Business Requirement gathering, planning, and delivery of multiple operational projects.
Create reports and dashboards from the data warehouse that deliver value to business stakeholders while meeting critical project deadlines.
Partner with GMs or manufacturing operational leads and management to support manufacturing planning and execution across the global manufacturing organization.
Standardize and implement reporting best practices with the rest of the Analytics Team to ensure adherence to enterprise reporting guidelines.
Assist Product Managers in ensuring data model additions are accounted for by data team development plans, and appropriate reports are updated.
Assist with broad direction and vision, influence engineering and business strategy, and establish practices to efficiently and effectively address customer needs.
Collaborate with Engineering to ensure production database changes to event implementations are gracefully handled in the data warehouse.
Collaborate with the Data team, providing design guidance, best practices guidance, mentoring, and training where needed, to produce a data warehouse with reliable, stable, accurate data.
Write documentation for stakeholders on any of the reports or dashboards you create.
Enjoy working with remote teams and people that have strong opinions.
B.S. in Data Science, Data Analysis, or a related field.
1+ years of providing complex analysis reports in any one of manufacturing, operations, sourcing, logistics, user adoption or similar fields is a bonus.
Experience with Snowflake is a bonus.
1+ years experience as a data scientist working in areas such as machine learning, regression, lifetime value is a bonus.
Proven experience working with complex datasets and writing SQL queries with multiple levels of CTEs directly.
Working knowledge of BI concepts (regressions, sliding window functions, operational metrics, end to end process metrics, logistics and fulfillment metrics).
Experience performing live training sessions for internal and external stakeholders during system and process implementation.
Experience using Odoo or other ERP systems, Shipping Carrier, TMS or similar core business systems.
Ability to work independently and in a team environment.
Ability to excel in a fast-paced environment.
Must be able to speak and write English at a professional level.
Must have strong communication skills and possess the ability to interact effectively with co-workers.
Interested in learning more? We look forward to hearing from you soon.

#J-18808-Ljbffr

Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster
Fictiv, coined the “AWS of manufacturing,” is a leading technology company transforming the $350 billion manufacturing industry. Our cutting-edge cloud platform uses AI and machine learning algorithms to help companies build hardware at the speed of software. Come join our growing team!
Impact In This Role The Data Engineering & Analytics team creates reports and dashboards to provide meaningful insights from the data warehouse. This team works very closely with cross-functional stakeholders and leverages multiple different Business Intelligence (BI) technologies to achieve these goals. As a Data Analyst, you will support a wide range of cross-functional stakeholders in the everyday understanding of our data warehouse and reporting environment. You will serve as a driver between the business and technology in understanding the business problems that need to be solved. You will collect requirements, ensure consistency and adherence to company-wide definitions, and translate the functional requirements into technical details upon which data reports can be built. You will also ensure that the data reports comply with enterprise reporting standards. This is a ‘hands-on’ role and is responsible for leading the collaboration with cross-functional peers to build dashboards and reports to monitor progress, answer business questions, and ensure key management reports are available and accurate. You will partner with the Data Analytics Manager to support and scale our analytics. SQL should be your tool of choice when it comes to pulling datasets and you can paint a great visual picture of our complex data. You will collaborate with peer Engineering technical leads in many different disciplines, Product Owners, and Business Analysts to drive workflows and with stakeholders to understand and measure company goals. You will mentor and shepherd best practices amongst the extended cross-functional teams to ensure appropriate hygiene of Fictiv’s reporting environments and to allow users to be self-sufficient.
What You’ll Be Doing
Lead the Business Requirement gathering, planning, and delivery of multiple operational projects.
Create reports and dashboards from the data warehouse that deliver value to business stakeholders while meeting critical project deadlines.
Partner with GMs or manufacturing operational leads and management to support manufacturing planning and execution across the global manufacturing organization.
Standardize and implement reporting best practices with the rest of the Analytics Team to ensure adherence to enterprise reporting guidelines.
Assist Product Managers in ensuring data model additions are accounted for by data team development plans, and appropriate reports are updated.
Assist with broad direction and vision, influence engineering and business strategy, and establish practices to efficiently and effectively address customer needs.
Collaborate with Engineering to ensure production database changes to event implementations are gracefully handled in the data warehouse.
Collaborate with the Data team, providing design guidance, best practices guidance, mentoring, and training where needed, to produce a data warehouse with reliable, stable, accurate data.
Write documentation for stakeholders on any of the reports or dashboards you create.
Enjoy working with remote teams and people that have strong opinions.
Minimum Qualifications
B.S. in Data Science, Data Analysis, or a related field.
1+ years of providing complex analysis reports in any one of manufacturing, operations, sourcing, logistics, user adoption or similar fields is a bonus.
Experience with Snowflake is a bonus.
1+ years experience as a data scientist working in areas such as machine learning, regression, lifetime value is a bonus.
Proven experience working with complex datasets and writing SQL queries with multiple levels of CTEs directly.
Working knowledge of BI concepts (regressions, sliding window functions, operational metrics, end-to-end process metrics, logistics and fulfillment metrics).
Experience performing live training sessions for internal and external stakeholders during system and process implementation.
Experience using Odoo or other ERP systems, Shipping Carrier, TMS or similar core business systems.
Ability to work independently and in a team environment.
Ability to excel in a fast-paced environment.
Must be able to speak and write English at a professional level.
Must have strong communication skills and possess the ability to interact effectively with co-workers.
Interested in learning more? We look forward to hearing from you soon.

#J-18808-Ljbffr

Fictiv Interview Questions

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Fictiv Interview Questions

Fictiv Salaries by Position

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