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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?

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

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?

Eteam Salaries by Position

Job Title: Sr. Data Engineer Job Duration: 6 months contractJob Location: San Francisco, CA, Hybrid (San Fran)/2 days a week between Tues through Thurs Our Client is looking for an experienced Data Engineer to support the Marketing Solutions execution of complex data development and database efficiency, with a deep focus on improving the data quality, accuracy and timeliness for marketing related products. This role will interact directly with Engineering teams to optimize data operations for product metrics to surface insights at terabyte scale, globally. As our data and business needs increase, we continue to iterate and evolve our processes, best-practice documentation, and deep-dive retrospectives to inform our go/no go decision making. Ultimately to be successful, the individual should feel comfortable advising a team of data professionals, navigating our tech stack, and recommending solutions to complex data problems. Our team is highly collaborative, open and honest, and brings a low-ego, high impact mindset to work!Responsibilities: Design, develop, and manage data pipelines and workflows to enable efficient and accurate data processing using Trino SQL/Spark SQL warehoused in HDFS datasets.Effectively performs code designs and reviews/approves test cases.Implement data quality checks and audits to maintain high data accuracy and integrity.Produces elegant and efficient designs, high performance, and scalable code that allows for easy extension to future needs.Collaborate with cross-functional teams, especially data engineering, to understand data requirements and implement robust data solutions.Work closely with data domain experts to gather data requirements, translate business needs into technical specifications, and communicate data insights effectively for sales representative workflow efficiency.Optimize data storage for performance and scalability, ensuring efficient data Extraction, Transformation and Load (ETL).Develop and maintain documentation related to data pipelines, QA, metrics, and data policy as it relates to best practice, compliance and GDPR.Stay up to date with industry best practices and emerging trends in data engineering and analytics, including Generative AI as it impacts our data operations. Qualifications:2+ years in using SQL and experience optimizing SQL databases for performance (Trino SQL, or Spark).Demonstrated experience in managing data pipelines (like HDFS), data repository (like GitHub), workflows (like Apache Airflow), and ETL (best practice coding).Ability to communicate complex technical concepts to both technical and non-technical individuals.Experience working with multiple stakeholders, setting project priorities and delivering on Objectives and Key Results (OKRs). Experience automating script changes in Python. Preferred Qualifications:BA/BS in engineering, computer science, or related technical field (such as statistics, or data science).Excellent analytical skills, designing data workflows and analyzing data for anomalies, or setting data quality thresholds via automated solutions.Familiarity with data governance principlesProgram Manager experienceDemonstrated experience in managing data pipelines in HDFSExperience running a scrum team and using Jira.Spark SQL Suggested Skills:Data AnalysisProject ManagementData Engineering

Position:- Business Analyst II (Remote) Duration:- 06+ months Location:- Irving, TX 75039 <ul> <li>Candidates MUST be local to Irving Tx client Facility</li> <li>Role will be mostly remote but will be required onsite maybe once per week or as little as a few times per month</li> <li>During the first month of assignment onsite visits may be needed more frequently so candidates must be within commutable distance / ideally have reliable transportation</li> <li>Candidates must have a Bachelor's Degree for consideration</li> <li>Candidates must have at least 3 years of Business/Data Analyst experience </li></ul> About this role: Exciting career opportunities for a Business Analyst within the Data Strategy and Enablement group. This role will provide support for business processes (including but not limited to Enterprise, Account and Person data management) with a focus on Government, Public Sector and Education. What you'll do: <ul> <li>Drive data quality initiatives on improving the accuracy of our Government, Public Sector and Education account data that's leveraged in critical business processes throughout the enterprise with focus on organization hierarchy structures</li> <li>Collaborate across business and technical teams, both on site and offshore, to create business deliverables such as Data flow diagrams, Business Requirements, Functional Requirements, User Stories and User Acceptance Tests</li> <li>Obtain understanding of relevant business area(s), technical options, limitations, costs and risks to communicate tradeoffs and recommend solutions or suggest alternatives to proposed solutions to shape requirements</li> <li>Independently drive critical data workshops with business and IT stakeholders to develop requirements and execution process while managing dependencies across teams</li> <li>Review data records/attributes on a periodic basis and to ensure data quality and curate data insights that will ultimately improve the transparency and value of data across client.</li> <li>Ensure quality through adherence to and supporting processes and procedures, including the maintenance of documentation on shared file systems</li> <li>Review delivery team output to ensure requirements are correctly interpreted; define and execute test cases</li> <li>Provide support to other business analysts, business process owners and project managers to help drive business initiatives </li></ul> What you'll need:<ul> <li>6+ years of experience as a Business/Data Analyst; prior experience in working in Data Warehouse, Master Data Management, Analytics environment a plus</li> <li>Knowledge of Government/Public sector organizations, hierarchies and structure required</li> <li>Knowledge of Education organizations, hierarchies and structure a plus</li> <li>Expert level communication with both technical and non-technical personnel, both oral and written</li> <li>Strong analytical, strategic thinking and problem-solving skills including ability to clearly and concisely gather, interpret, analyze and document Business Process, User and Data Functional requirements in a structured way</li> <li>Ability to breakdown complex business problems and workflows into meaningful components that are understandable by various levels</li> <li>Well versed with in utilizing tools such MS Excel, MS Word, Google Suite, MS Visio, Lucid Chart, JIRA, Confluence Advanced SQL Skills Required</li> <li>Basic understanding of data analysis tools and techniques is a plus</li> <li>Experience with business intelligence and data visualization systems is a plus (Tableau, Power BI)</li> <li>Data governance experience is a strong consideration</li> <li>Knowledge and experience with Scrum/Agile methodology </li> </ul>

Role: Lead Data Engineer Location: Fremont, CA (Hybrid 3 days a week from office) Duration: 12+ Months Must have Skills : <ol> <li> Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc. Azure experience is required and preferred over other cloud platforms. </li> <li> 10 + years of proven experience with SQL, schema design and dimensional data modelling </li> <li> Solid knowledge of data warehouse best practices, development standards and methodologies </li> <li> Experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.. </li> <li> Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL. </li> <li> Be an independent self-learner with "let's get this done" approach and ability to work in Fast paced and Dynamic environment. </li> <li> Excellent communication and teamwork abilities. </li> </ol> Nice-to-Have Skills: <ol> <li> Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge. </li> <li> SAP ECC /S/4 and Hana knowledge. </li> <li> Intermediate knowledge on Power BI </li> <li> zure DevOps and CI/CD deployments, Cloud migration methodologies and processes </li> </ol>

Overview: We are seeking a skilled and experienced Data Engineer to join our team and take a pivotal role in building, optimizing, and maintaining our data platform. As a technical team member, you will leverage your expertise in cloud technologies and data engineering to ensure high performance and scalability of our data solutions. This position requires a passion for data, a commitment to innovation, and a focus on delivering efficient and effective solutions. Key Responsibilities:<ul> <li>Ability to build data pipelines for different ingestion patterns.</li> <li>Ability to analyze data and support data preparation</li> <li>Optimize data capture, ingestion, and processing workflows to enable advanced analytics, data science, and operational intelligence.</li> <li>Collaborate with Data Platform Architects and ML Engineers to integrate feature stores, manage model deployment, and implement data preparation workflows.</li> <li>Ensure data engineering processes are designed for high performance, scalability, and resource efficiency.</li> <li>Provide technical leadership and mentorship, fostering an environment of continuous improvement and innovation.</li> <li>Design and maintain data pipelines for streaming data, batch processing, and real-time analytics.</li> <li>Implement secure and scalable data capture and ingestion workflows.</li> <li>Support data preparation, exploration, and visualization to facilitate data-driven decision-making.</li> <li>Work closely with other engineering teams to ensure data pipelines are secure, efficient, and aligned with business requirements. </li></ul> Qualifications:<ul> <li>Bachelor's degree in Computer Science, a technical field, or a related business discipline. </li> <li>Equivalent experience, certifications, or training will be considered.</li> <li>2+years of experience with Databricks</li> <li>5+ years of experience in designing and delivering secure cloud solutions.</li> <li>Experience with ML and ML Ops preferred</li> <li>Experience with Agile methodology</li> <li>Strong problem-solving, analytical, and communication skills. </li> </ul>

<ul> <li>10+yrs experience in data analysis</li> <li>Analyze complex datasets to extract actionable insights, helping guide strategic decision-making and business improvements.</li> <li>Perform statistical analyses to identify trends, patterns, and correlations, providing key data-driven opportunities for growth.</li> <li>Build and maintain data pipelines, ensuring raw data is cleaned, transformed, and ready for analysis, contributing to accurate and timely reporting.</li> <li>Create visualizations and detailed reports to effectively communicate findings, supporting cross-functional teams in optimizing performance and driving initiatives forward.</li> <li>Supply Chain Planning experience desired </li> </ul>

Title: Sr. Business Analyst - Collaboration Success
Duration: 6 months
Onsite/Hybrid/Remote: Onsite (2 -3 days per week)

Top Skills:
Executive presence
Presentation and training skills
End User facing - technical

Position Summary
Sr. Business Analyst, Collaboration Success is responsible for driving adoption of Collaboration technologies to increase workforce awareness and productivity. This role manages collaboration success & enablement processes focused on ensuring that employees have the motivation, ability, and knowledge to fully exploit IT-supplied collaboration technologies. This role will work closely with partners, such as corporate communications and line of business leaders, as well as other IT colleagues and technology vendors.

Main Responsibilities
• Define and lead collaboration success & enablement strategy and processes.
• Identify, monitor, publish and manage goals and measurements to show collaboration success impact.
• Coordinates multi-channel communications campaigns to drive technology adoption.
• Collaborates with various stakeholders across unified communication, in-room experience & content collaboration capabilities stakeholders.
• Oversee the creation, management, and awareness of the centralized repository of technology enablement resources (videos, how-to, quick-start guides, etc.)
• Facilitate or oversee enablement and awareness events (Ask the Expert, Immersion Experiences, webinars, lunch and learns, focus groups etc.)
• Manage the bi-annual collaboration tools effectiveness survey process to establish and track promoter metrics.
• Partner with operations, engineering, and governance teams to identify potential improvements or impacts to customer experience and proactively manage potential disruptions.
• Connect with line-of-business leaders to ensure participation in their events and team meetings to drive change management and adoption strategies.
• Monitor emerging technology trends and leverage workplace analytics, usage metrics and survey results to ensure initiatives are driven by objective data.
• Oversee network of enablement agents and champions, facilitate knowledge sharing and collaboration across the enterprise through regular engagement.
• Participate in employee onboarding to highlight available resources and raise awareness of digital workplace technologies.

Skills/Job Requirements:
• Excellent interpersonal and communication skills, strong analytical skills, and ability to deal with ambiguity in a rapidly changing business environment.
• Proven ability to lead, influence and work well at all levels of an organization and in a cross functional team environment.
• Highly developed consultative, facilitation, project management and presentation skills
• Demonstrated ability to synthesize data, set actionable goals and drive metrics and execution.
• Experience in running multiple cross-cultural/global teams and projects.
• B.S. or M.S. in Computer Science/Business or related area is desired.

Schedule: Monday to Friday 10 am 6 pm Hybrid - 85 % in field and 15% at home Could extend to a later date or into another role with DD. ~10 installs per week San Francisco and East Bay, CA Will use Public transportation, Lyft, or own vehicle This person will be responsible for helping launch merchants onto our new product: Activities will include: 1. Scheduling Merchant visits + installation of NFC tiles 2. Training staff 3. Secret shopping for compliance 4. Market research 5. Developing signage + other merchant assets Will require someone who is friendly, detail oriented, fast learner, comfortable with Google Suite. Additional Details: Help run around San Fran, train staff on how to use product and get merchants to use product. Someone that is a people person, follow a script, follow directions. Being out and about in the city during the day visiting merchant clients Well versed in G suite. Will be scheduling the appointments - no cold calling / sales calls.

Job Title = Sr. Data Engineer
Location = Remote or Hybrid (San Fran)/ 2 days a week between Tues through Thurs
Duration = 12 Months contract role
Would prefer this one to be hybrid for the 1 yr assignment
EM wants top talent so even though hybrid is preferred, not completely against remote for top talent

Client is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. Join us to challenge yourself with work that matters.

We trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options. This means you can work from home and commute to a company office, depending on what's best for you and when it is important for your team to be together, or you can work remotely from most locations within the country listed for this role.

Client is looking for an experienced Data Engineer to support the Client Marketing Solutions (LMS) execution of complex data development and database efficiency, with a deep focus on improving the data quality, accuracy and timeliness for marketing related products. This role will interact directly with Engineering teams to optimize data operations for product metrics to surface insights at terabyte scale, globally. As our data and business needs increase, we continue to iterate and evolve our processes, best-practice documentation, and deep-dive retrospectives to inform our go/no go decision making. Ultimately to be successful, the individual should feel comfortable advising a team of data professionals, navigating our tech stack, and recommending solutions to complex data problems. Our team is highly collaborative, open and honest, and brings a low-ego, high impact mindset to work!

Responsibilities:
-Design, develop, and manage data pipelines and workflows to enable efficient and accurate data processing using Trino SQL/Spark SQL warehoused in HDFS datasets.
-Effectively performs code designs and reviews/approves test cases.
-Implement data quality checks and audits to maintain high data accuracy and integrity.
-Produces elegant and efficient designs, high performance, and scalable code that allows for easy extension to future needs.
-Collaborate with cross-functional teams, especially data engineering, to understand data requirements and implement robust data solutions.
-Work closely with data domain experts to gather data requirements, translate business needs into technical specifications, and communicate data insights effectively for sales representative workflow efficiency.
-Optimize data storage for performance and scalability, ensuring efficient data Extraction, Transformation and Load (ETL).
-Develop and maintain documentation related to data pipelines, QA, metrics, and data policy as it relates to best practice, compliance and GDPR.
-Stay up to date with industry best practices and emerging trends in data engineering and analytics, including Generative AI as it impacts our data operations.

Qualifications:
-2+ years in using SQL and experience optimizing SQL databases for performance (Trino SQL, or Spark).
-Demonstrated experience in managing data pipelines (like HDFS), data repository (like GitHub), workflows (like Apache Airflow), and ETL (best practice coding).
-Ability to communicate complex technical concepts to both technical and non-technical individuals.
-Experience working with multiple stakeholders, setting project priorities and delivering on Objectives and Key Results (OKRs).
-Experience automating script changes in Python

Preferred Qualifications :
-BA/BS in engineering, computer science, or related technical field (such as statistics, or data science).
-Excellent analytical skills, designing data workflows and analyzing data for anomalies, or setting data quality thresholds via automated solutions.
-Familiarity with data governance principles
-Program Manager experience
-Demonstrated experience in managing data pipelines in HDFS
-Experience running a scrum team and using Jira.
-Spark SQL

Suggested Skills:
-Data Analysis
-Project Management
-Data Engineering

Position Summary & Key Areas of Responsibility Summary Do you want to join a team that is committed to disrupting a major industry? If so, we may be the opportunity for you. We're looking to add depth to our team. As a senior member of the quality engineering team, you'll be responsible for adding momentum to our efforts to modernize and evolve the industry's most widely deployed systems. You'll ensure our code is testable, through your upfront participation in design reviews and code walkthroughs. As an evangelist for engineering quality, you'll be on point to ensure that the project team understands testing process and error documentation. You'll be an advocate for the use of test automation tools and techniques. Working with software engineers, your test plans will ensure that our test cases cover the entire scope of user stories and defect resolution delivered in every sprint. We're looking for someone who values the big picture but understands the importance of executing now. Because so many transactions are riding on the quality of our technology, you'll bring a passion for ensuring that our customer experience is peerless. Join us on the ground floor- a software and services innovator. We offer great opportunities and an attractive compensation package including bonus and the chance to work on a team of stellar people. People describe you as: Someone who believes that software development changes lives. You're passionate about technology and see the world a little differently than your peers-everywhere you look, there's possibility, opportunity, boundaries to push and challenges to solve. Key Areas of Responsibility <ul> <li>Designs and implements new product features and implements modifications to existing product features to include technical documentation.</li> <li>Builds and executes unit tests for new or existing application code.</li> <li>Works with Customer Care team members to resolve problems with released software.</li> <li>Exhibits very high personal commitment to quality, software engineering best practices, and protection of sensitive consumer information.</li> <li>Attends daily scrum meetings, sprint planning, work estimates.</li> <li>Provides input into and release management decisions.</li> <li>Ability to drive issues to effective resolution and to find solutions to challenging, time-critical problems.</li> <li>Mentors team members and conducts code and test reviews. </li></ul> Basic Qualifications: <ul> <li>Bachelor's degree in a related area (Computer Engineering, Computer Science, Computer Information Services, Management Information Services) or equivalent industry experience.</li> <li>Strong knowledge of object-oriented programming concepts</li> <li>5+ years of C++ experience on Windows environment.</li> <li>Modern C++ standard (C++ 11 and above) experience</li> <li>3+ years of python experience</li> <li>Experience producing technical designs for software applications.</li> <li>Must exhibit good judgment in decision making.</li> <li>Must excel in verbal and written communications.</li> <li>Able to convey technical concepts to non-technical audiences.</li> <li>Able to troubleshoot complex systems including hardware and software systems.</li> <li>Test automation experience using Cucumber, Behave, Gherkin</li> <li>Have a Test-First mindset</li> <li>Unit Testing Framework like Google Test, cppUnit etc.</li> <li>Networking, TCP/IP Socket level communications</li> <li>Experience in mentoring others on SW Engineering standards and emerging best practices</li> <li>Agile Development experience</li> <li>Strong debugging and troubleshooting skills</li> <li>Familiarity with the Atlassian tool suite (Jira, Confluence, etc.). </li></ul> Good to have: <ul> <li>Java, .NET</li> <li>Preferred Retail experience, especially in the Convenience Store industry and Point of Sale systems</li> <li>Preferred working experience on Payment Processors and payment devices</li> <li>Cloud development experience</li> <li>Computer HW, Networking, TCP/IP Socket level communications experience</li> <li>High volume, high availability solutions</li> <li>PCI compliance, secure development, and data encryption techniques </li></ul> The day-to-day: As a C++ Software Engineer you will be responsible for the design and development of software and automating BDD scenarios. You will interact daily with other team members to ensure that a quality product is delivered in a timely manner. You are expected to be able to own the solution to complex software problems/needs from design to delivery. You will also: <ul> <li>Participate in an agile development team, implementing user stories with automated testing to verify acceptance criteria.</li> <li>Participate in the design, modify, implement, and document software application changes.</li> <li>Participate in analysis, design, testing, and review processes.</li> <li>Should be able to come up with effective effort estimation based on requirements.</li> <li>Write product specifications, designs, and technical manuals.</li> <li>Evaluate third-party products and specifications.</li> <li>Maintain responsibility of assigned tasks by using experience/knowledge of environment to make design/development decisions.</li> <li>Provide feedback to peer performance reviews.</li> <li>Educate others (technical and non-technical) on areas of expertise.</li> <li>Work under the supervision of an Engineering Manager.</li> <li>Provide development level support for assigned products and projects throughout the development lifecycle.</li> <li>Perform other job-related duties as assigned. </li> </ul>

Role: Sales Product Manager
Duration: 6+Months
Location: San Francisco, CA
Job Title: Product Manager, Sales Platform
Notes:
The Manager is open to hire in LA-CA, San Jose-CA, San Francisco-CA & Lehi-UT. This is a hybrid role and the candidate will be required to go onsite twice a week.
Description:
The Product Manager, Sales Platform role will drive the prioritization, planning, and delivery of business solutions within Client, while also supporting the day-to-day operations of the CRM. The candidate is passionate about the Sales process, technical capabilities of CRM and CPQ systems, and the people that use them! This individual will work with internal stakeholders across Sales, Operations, Marketing, and Partner Programs to resolve day-to-day issues and prioritize critical business requirements in support of the Lead to Quote technology roadmap.

What You'll Do
•Partner with business stakeholders to understand their business initiatives and problems
•Partner with developers to implement solutions for business needs and issues
•Define Client requirements for agreed upon business solutions
•Communicate and align with internal partners on plans and launches
•Partner with other teams that own and manage integrated systems
•Support the day-to-day operations of multiple CRMs and resolve reported issues
•Analyze internal customer feedback, reported issues, product performance, and recommend potential solutions based on analysis

Skills
Must Have
•3-5 years of experience administering Client (or other CRMs)
•Experience and knowledge within the Lead to Quote process, Sales Operations, and integration of enterprise systems with CRMs
•Self-starter that thrives in the face of challenges
•Proven track record to operate effectively with general mentorship on new projects
•Exceptional verbal and written communication skills, including the ability to work with technical and non-technical audiences; as well as communicate effectively to individual contributors, management, and executive leadership
•Experience presenting and advocating programs to internal partners and users
•Strong communications skills, with the distinctive ability to empower and influence people without authority or a direct reporting relationship
•Excellent negotiation, conflict management, and resolution skills - you respectfully facilitate teams to the successful mitigation of issues
Nice to Have
•Experience with industry leading sales tools (ex. Outreach, Chorus, ZoomInfo, etc.)
•Experience with Adobe Marketing Products (Marketo, Adobe Journey Optimizer, RTCDP).
•Experience with the Market to Lead sales cycle and process.
•Experience with Microsoft Copilot for Sales
•Experience with WalkMe enablement tools

Education
The following certifications are desirable but not required:
•Client Administrator Certification
•Scrum Product Owner Certification

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