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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?

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

Altimetrik Salaries by Position

Job Description:We are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP), particularly in BigQuery and Pub/Sub, coupled with advanced proficiency in Python. As a Data Engineer, you will play a pivotal role in designing, implementing, and optimizing data pipelines, ensuring the smooth flow of data within our organization.Responsibilities:1. Architect and Develop Data Pipelines: Design, develop, and maintain scalable and efficient data pipelines using GCP services such as Pub/Sub for real-time data ingestion and BigQuery for storage and analysis.2. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from various sources, ensuring data quality and consistency.3. Optimize Performance: Fine-tune data pipelines and queries to optimize performance and reduce latency, ensuring timely access to data for stakeholders.4. Monitoring and Maintenance: Implement monitoring solutions to track pipeline performance and proactively address issues. Perform regular maintenance tasks to ensure the reliability and availability of data infrastructure.5. Collaboration: Collaborate with cross-functional teams including Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to address business needs.6. Documentation: Document data pipelines, processes, and best practices to ensure knowledge sharing and maintain a comprehensive understanding of data architecture.Requirements:1. Proficiency in GCP Services: Extensive hands-on experience with Google Cloud Platform services, particularly BigQuery for data storage and analysis, and Pub/Sub for real-time data streaming.2. Python Programming: Strong programming skills in Python for data manipulation, scripting, and automation tasks. Experience with libraries such as Pandas, NumPy, and TensorFlow is highly desirable.3. Data Modeling: Solid understanding of data modeling concepts and experience in designing efficient data models for analytics and reporting purposes.4. SQL Skills: Proficiency in writing complex SQL queries for data extraction, transformation, and analysis within BigQuery.5. Experience with Data Warehousing: Familiarity with data warehousing concepts and experience in implementing data warehouse solutions using GCP BigQuery or similar technologies.6. Problem-solving Skills: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data-related issues.7. Communication Skills: Excellent communication skills with the ability to effectively collaborate with cross-functional teams and articulate technical concepts to non-technical stakeholders.8. Bachelor’s Degree: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree or relevant certifications in Data Engineering or GCP are a plus.

Job Description:Altimetrik seeking an experienced Data Management and Analytics Specialist with a minimum of 10 years of experience in the field and at least 5 years of in-depth expertise in Data Quality and Profiling, specifically with Ataccama.Responsibilities:<ul><li>Design and architect Data Quality and Profiling solutions.</li><li>Collaborate with various business and technical stakeholders to define data strategy and quality roadmaps.</li><li>Prepare solution sketches, technical and architecture designs, technical specifications, and agile prototypes for the development team.</li><li>Configure and integrate Ataccama solutions into customer applications and data management landscapes.</li><li>Test, document, and optimize Ataccama solutions to meet customer performance and functional requirements.</li><li>Utilize ETL tools (preferably Informatica PowerCenter) for data management tasks.</li><li>Perform business and data analysis, integration, quality controls, and data governance.</li><li>Demonstrate strong knowledge of data warehousing concepts and data quality dimensions.</li><li>Identify data producers and measure applicable critical data elements (CDEs).</li><li>Utilize hands-on data management skills, particularly with Ataccama's IDE.</li><li>Analyze data to identify and address data quality issues.</li><li>Coordinate solutions and execution with relevant stakeholders, including the technology team, data stewards, data consumers, and business data producers/owners.</li></ul>Qualifications:<ul><li>Excellent communication and writing skills (mandatory).</li><li>Certifications in any Data Quality or ETL tools (nice to have).</li></ul>

Position: Data Management and Analytics SpecialistTotal IT Experience: 6-10 Years Job Description:We are seeking a highly skilled Data Management and Analytics Specialist with a minimum of 6 years of experience in the field, including at least 5 years of in-depth expertise in Data Quality and Profiling, specifically with Ataccama. Responsibilities:<ul><li>Design and Development:</li><li>Design, develop, and implement Data Quality (DQ) solutions using the Ataccama One platform.</li><li>Design and develop data quality mappings and workflows with complex transformations.</li></ul>Stakeholder Collaboration:<ul><li>Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.</li><li>Coordinate solutions and execution with relevant stakeholders such as the technology team, data stewards, data consumers, and business data producers/owners.</li></ul>Team Guidance:<ul><li>Guide the team on design aspects and solutions.</li></ul>System Integration:<ul><li>Integrate Ataccama with various data sources and systems.</li></ul>ETL Tool Utilization:<ul><li>Hands-on experience with any ETL tool, preferably Informatica PowerCenter.</li></ul>Data Analysis and Governance:<ul><li>Perform business and data analysis, manage data integration, quality controls, and data governance.</li><li>Analyze data to identify data quality issues.</li></ul>Data Warehousing:<ul><li>Strong knowledge of data warehousing concepts and data quality dimensions.</li></ul>Data Management:<ul><li>Identify data producers and measure critical data elements (CDEs) from start to end points.</li><li>Handle error records, reconciliation processes, and stewardship processes.</li></ul>Standards and Migration:<ul><li>Ensure standards are maintained when creating mapplets and handling code migrations from development through testing.</li></ul>Continuous Learning:<ul><li>Stay up-to-date with the latest trends and best practices in data management.</li></ul> Qualifications:Communication Skills:<ul><li>Excellent communication and writing skills (mandatory).</li></ul>Ataccama Experience:<ul><li>At least 4 years of experience working with Ataccama One.</li><li>SQL Proficiency:</li><li>Proficiency in SQL and experience with various databases (e.g., Oracle, SQL Server, MySQL).</li></ul>Certifications:<ul><li>Certifications in IDQ/Informatica (nice to have).</li></ul>

Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyableSkill Requirements: <ul><li>Bachelor’s degree in marketing/business/technology or equivalent.</li><li>5+ years of experience in product management.</li><li>2+ product management experience with consumer payments.</li><li>Experience in one or more local and international payment schemes (SEPA, FPS, SWIFT or other).</li><li>Experience with platform/API products.</li><li>Ability to advocate for new features using qualitative and qualitative reasoning.</li><li>Ability to work with ambiguity to create actionable roadmap.</li><li>Excellent interpersonal and communication skills.</li></ul> Basic qualifications: Bachelor’s degree in Computer Science, Software engineering or a related field Altimetrik is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability status or protected veteran status or any other status protected by the laws or regulations in the locations where we operate.

Altimetrik Interview Questions

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Altimetrik Interview Questions

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