The Photon Data Analyst interview guide, interview questions, salary data, and interview experiences.

Photon Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Photon? The Photon Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Photon Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Photon.</li>
<li>Practice real Photon Data Analyst interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Photon Data Analyst interview.


Getting ready for an Data Analyst interview at Photon? The Photon Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Photon Data Analyst roles.
- Gain insights into the Data Analyst interview process at Photon.
- Practice real Photon Data Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Photon Data Analyst interview.
        

Overview

Photon Data Analyst Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Photon Data Analyst Interview Process

As part of the financial management in a large corporation, the CFO wants to review the expenses in all departments for the previous financial year (2022).

Write a SQL query to calculate the total expenditure for each department in 2022. Additionally, for comparison purposes, return the average expense across all departments in 2022.

Note: The output should include the department name, the total expense, and the average expense (rounded to 2 decimal places). The data should be sorted in descending order by total expenditure.

<h3>Example:</h3>

Input:

<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<code>expenses</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>department_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>amount</td>
<td>FLOAT</td>
</tr>

<tr>
<td>date</td>
<td>DATE</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>department_name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>total_expense</td>
<td>FLOAT</td>
</tr>

<tr>
<td>average_expense</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Calculate total and average expenses for each department.

Department Expenses

The probability that it will rain tomorrow is dependent on whether or not it is raining today and whether or not it rained yesterday.

If it rained yesterday and today, there is a 20% chance it will rain tomorrow. If it rained one of the days, there is a 60% chance it will rain tomorrow. If it rained neither today nor yesterday, there is a 20% chance it will rain tomorrow.

Given that it is raining today and that it rained yesterday, write a function <code>rain_days</code> to calculate the probability that it will rain on the nth day after today.

Example:

Input:

<pre tabindex="0" class="chroma"><code>n=5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def rain_days(n) -&gt; 0.39968
</code></pre>

Given that it is raining today and that it rained yesterday, write a function to calculate the probability that it will rain on the nth day after today.

Rain in N Days

Let’s say that you’re a data scientist at Robinhood. 

How do we measure the launch of Robinhood’s fractional shares program?

Let’s say you are a data scientist at Robinhood.

Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.

Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood’s platform for new users?

Let's say you are a data scientist at Robinhood. 



Robinhood is introducing a program to allow users to buy fractional shares of publically listed companies.



Focusing in on the activity of new users, which of the following metrics would be the LEAST important to keep track of in determining if the program added value to Robinhood's platform for new users?

Fractional Shares Metrics

Fractional Shares

Photon Data Analyst Interview Questions

GreetingsWho are we?For the past 20 years, we have powered many Digital Experiences for the Fortune 100. Since 1999, we have grown from a few people to more than 6000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o. Data AnalystDallas, TX / Chicago, IL / Toronto, ON (Onsite)Hiring Type : Full Time The Expertise and Skills You Bring :<ul><li>Over 3-5 Years of Experience in Data Analyst Role.</li><li>You are an expert in gathering business requirements and translating them to data solutions. You are skilled at effectively defining use cases and simplifying complex concepts.</li><li>You are able to define user stories and validate the impact of changes to datasets and data models. You can break up complex work into digestible work elements. You have a good, applied knowledge of agile methodologies and practices. Familiarity with Jira / Jira Align is a big plus.</li><li>You have an excellent working knowledge of SQL or Python, and are able to independently wrangle our datasets to obtain valuable insights.</li><li>You understand and communicate sophisticated concepts effectively to a variety of audiences, both technical and non-technical. You make the complicated simple.</li><li>You have a passion for continuous learning, mastering of new skills, and keeping abreast of the latest innovations across data analytics.</li><li>You have strong data analysis and data profiling skills, and can define robust test scenarios.</li><li>You have experience navigating integrated enterprise data and working across multi-functional teams. You are able to identify alternative approaches and make recommendations on the benefits and shortcomings of each approach.</li><li>You are known as a go-getter, with the ability to unravel a mystery – data, business process or organizational.</li><li>You apply data management and data modelling practices when building data solutions.</li><li>You are an effective communicator with a strong ability to cultivate relationships. You have excellent communication and presentation skills.</li><li>Your familiarity with enterprise data lakes and Cloud data platforms such as Snowflake is a big plus.</li></ul>

Greetings from Photon!! Who are we?Photon has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o. Position: Sr. Data AnalystLocation: Chicago, IL / Dallas, TX / Toronto, ON (Onsite) The Expertise and Skills You Bring<ul><li>Over 6-9 Years of experience as Data Analyst.</li><li>You are an expert in gathering business requirements and translating them to data solutions. You are skilled at effectively defining use cases and simplifying complex concepts.</li><li>You are able to define user stories and validate the impact of changes to datasets and data models. You can break up complex work into digestible work elements. You have a good, applied knowledge of agile methodologies and practices. Familiarity with Jira / Jira Align is a big plus. </li><li>You have an excellent working knowledge of SQL or Python and are able to independently wrangle our datasets to obtain valuable insights.</li><li>You understand and communicate sophisticated concepts effectively to a variety of audiences, both technical and non-technical. You make the complicated simple.</li><li>You have a passion for continuous learning, mastering new skills, and keeping abreast of the latest innovations across data analytics. </li><li>You have strong data analysis and data profiling skills and can define robust test scenarios.</li><li>You have experience navigating integrated enterprise data and working across multi-functional teams. You are able to identify alternative approaches and make recommendations on the benefits and shortcomings of each approach.</li><li>You are known as a go-getter, with the ability to unravel a mystery – data, business process or organizational. </li><li>You apply data management and data modelling practices when building data solutions.</li><li>You are an effective communicator with a strong ability to cultivate relationships. You have excellent communication and presentation skills.</li><li>Your familiarity with enterprise data lakes and Cloud data platforms such as Snowflake is a big plus.</li></ul>

Job Title: Data Analyst Location: Louisville KY Any W2/C2C - day-one Onsite Responsibilities: We are seeking a skilled Data Analyst to join our Data Lake Discovery Program. The ideal candidate will have experience in working with large-scale data systems, performing data analysis, and supporting the design and implementation of data lakes. You will be responsible for analyzing, modeling, and transforming data, ensuring data quality, and supporting key stakeholders in leveraging the data lake for business insights. Key Responsibilities: <ul> <li>Collaborate with cross-functional teams to understand business requirements and define data collection, transformation, and analysis processes within the data lake. </li><li>Perform detailed data analysis, including cleansing, transformation, aggregation, and validation, across structured and unstructured datasets. </li><li>Assist in the design and development of data ingestion pipelines for batch and real-time data into the data lake. </li><li>Work with architects and engineers to ensure proper schema design and adherence to data lake best practices. </li><li>Ensure data integrity, accuracy, and governance through data quality monitoring and troubleshooting. </li><li>Collaborate with data engineers to optimize data storage, retrieval, and performance across the data lake. </li><li>Conduct exploratory data analysis (EDA) to discover patterns, insights, and trends, and provide recommendations to business stakeholders. </li><li>Provide support for API and batch message integration within the data lake, assisting with testing and validation of data flows. </li><li>Stay updated with emerging trends and technologies in data lake architectures, data governance, and analytics. </li></ul> Qualifications: Experience: <ul> <li>3+ years of experience as a Data Analyst, with strong proficiency in data analysis, data management, and reporting. </li><li>Experience working with data lakes, cloud platforms (Azure, AWS, GCP), and large-scale data systems. </li><li>Proven experience in data modeling, ETL processes, and working with structured and unstructured data. </li></ul> Technical Skills: <ul> <li>Experience with data visualization tools (e.g., Tableau, Power BI). </li><li>Familiarity with cloud-based data lakes and tools like Databricks, Delta Lake, Apache Spark, or Hadoop. </li><li>Knowledge of data governance principles, data quality management, and schema design best practices. </li></ul> Soft Skills: <ul> <li>Strong analytical and problem-solving skills with attention to detail. </li><li>Excellent communication and interpersonal skills, with the ability to translate complex data insights for non-technical stakeholders. </li><li>Ability to work independently as well as in a collaborative team environment. </li></ul> Preferred Skills: <ul> <li>Experience with data lake architecture and data governance frameworks. </li><li>Familiarity with API and message design for data ingestion and integration. </li><li>Knowledge of regulatory compliance requirements (e.g., CCPA) in data handling and privacy. </li> </ul>

Job Title: Data Analyst Location: Louisville KY Any W2/C2C - day-one Onsite Responsibilities:We are seeking a skilled Data Analyst to join our Data Lake Discovery Program. The ideal candidate will have experience in working with large-scale data systems, performing data analysis, and supporting the design and implementation of data lakes. You will be responsible for analyzing, modeling, and transforming data, ensuring data quality, and supporting key stakeholders in leveraging the data lake for business insights. Key Responsibilities:<ul><li>Collaborate with cross-functional teams to understand business requirements and define data collection, transformation, and analysis processes within the data lake.</li><li>Perform detailed data analysis, including cleansing, transformation, aggregation, and validation, across structured and unstructured datasets.</li><li>Assist in the design and development of data ingestion pipelines for batch and real-time data into the data lake.</li><li>Work with architects and engineers to ensure proper schema design and adherence to data lake best practices.</li><li>Ensure data integrity, accuracy, and governance through data quality monitoring and troubleshooting.</li><li>Collaborate with data engineers to optimize data storage, retrieval, and performance across the data lake.</li><li>Conduct exploratory data analysis (EDA) to discover patterns, insights, and trends, and provide recommendations to business stakeholders.</li><li>Provide support for API and batch message integration within the data lake, assisting with testing and validation of data flows.</li><li>Stay updated with emerging trends and technologies in data lake architectures, data governance, and analytics.</li></ul>Qualifications:Experience:<ul><li>3+ years of experience as a Data Analyst, with strong proficiency in data analysis, data management, and reporting.</li><li>Experience working with data lakes, cloud platforms (Azure, AWS, GCP), and large-scale data systems.</li><li>Proven experience in data modeling, ETL processes, and working with structured and unstructured data.</li></ul>Technical Skills:<ul><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Familiarity with cloud-based data lakes and tools like Databricks, Delta Lake, Apache Spark, or Hadoop.</li><li>Knowledge of data governance principles, data quality management, and schema design best practices.</li></ul>Soft Skills:<ul><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Excellent communication and interpersonal skills, with the ability to translate complex data insights for non-technical stakeholders.</li><li>Ability to work independently as well as in a collaborative team environment.</li></ul>Preferred Skills:<ul><li>Experience with data lake architecture and data governance frameworks.</li><li>Familiarity with API and message design for data ingestion and integration.</li><li>Knowledge of regulatory compliance requirements (e.g., CCPA) in data handling and privacy.</li></ul><li></li>

We are currently seeking an experienced Lead Data Engineer with over 9 years of experience in data engineering to join our team, and I wanted to reach out to see if you might be interested. Your expertise in Hadoop, Python, Kafka, Snap Logic, Snowflake, and AWS Cloud makes you a strong fit for this role. In this position, you would lead the development of scalable data systems and pipelines, mentor team members, and play a pivotal role in designing data architecture aligned with strategic business goals. This role provides an excellent opportunity to work on cutting-edge data solutions in a collaborative, innovation-driven environment. Here are some key responsibilities: <ul> <li>Lead the design, implementation, and maintenance of complex data pipelines and ETL processes. </li><li>Architect and optimize data models within Snowflake to support high-performance analytics. </li><li>Oversee data workflows within AWS Cloud, leveraging services such as EC2, S3, Glue, Lambda, and EMR. </li><li>Mentor junior engineers, fostering a culture of technical excellence. </li><li>Drive real-time data streaming initiatives using Kafka. </li></ul> What were looking for: <ul> <li>9+ years of experience in data engineering with leadership experience. </li><li>Advanced skills in Hadoop, Python, Kafka, SnapLogic, and Snowflake. </li><li>Proficiency with AWS services for cloud-based data solutions. </li> </ul>

Responsibilities:<ul><li>Technical Leadership: Lead and mentor a team of engineers.</li><li>Architecture Design: Design scalable and maintainable web applications.</li><li>Frontend Development: Develop complex web applications using React.js and other modern frontend technologies.</li><li>Backend Development: Develop robust and efficient backend services using Node.js and related frameworks.</li><li>API Design and Development: Design and implement RESTful APIs to power frontend applications.</li><li>Testing and Debugging: Write unit, integration, and end-to-end tests to ensure code quality.</li><li>Performance Optimization: Optimize application performance for speed and scalability.</li><li>Deployment and Maintenance: Deploy and maintain applications in production environments.</li></ul> Requirements:<ul><li>Strong Technical Skills: Proficiency in Node.js, React.js, and related technologies.</li><li>Frontend Expertise: Deep understanding of modern frontend frameworks and libraries.</li><li>Backend Expertise: Strong knowledge of backend development principles and practices.</li><li>Leadership Skills: Ability to lead and mentor a team of engineers.</li><li>Problem-Solving: Strong problem-solving and debugging skills.</li><li>Communication Skills: Effective communication skills to collaborate with cross-functional teams.</li><li>Continuous Learning: Passion for learning new technologies and staying up-to-date with industry trends.</li></ul> Preferred Qualifications:<ul><li>Experience with Serverless Architecture: Experience with serverless frameworks like AWS Lambda or Google Cloud Functions.</li><li>Cloud Platforms: Experience with cloud platforms like AWS, GCP, or Azure.</li><li>DevOps: Understanding of DevOps practices and tools.</li><li>Open Source Contributions: Contributions to open-source projects.</li></ul>

Responsibilities: Technical Leadership: Lead and mentor a team of engineers, providing technical guidance and fostering a culture of innovation. Architecture Design: Design and architect scalable, resilient, and high-performance software systems. Problem-Solving: Identify and solve complex technical challenges, often involving multiple systems and technologies. Code Review: Conduct rigorous code reviews to ensure code quality, maintainability, and adherence to best practices. Collaboration: Collaborate effectively with cross-functional teams, including product management, UX design, and QA. Innovation: Stay up-to-date with the latest technologies and trends, and drive innovation within the team. Requirements: Strong Technical Skills: Proficiency in multiple programming languages (e.g., Java, Python, C++) and a deep understanding of software development principles and methodologies. Experience: 10+ years of experience in software development, with a proven track record of delivering high-quality software products. Problem-Solving: Excellent problem-solving and analytical skills. Leadership: Strong leadership and mentorship skills. Communication: Effective communication skills, both written and verbal. Preferred Qualifications: Cloud Experience: Experience with cloud platforms (AWS, GCP, Azure). DevOps: Experience with DevOps practices and tools (CI/CD, containerization, infrastructure as code). Open Source: Contributions to open-source projects. Advanced Degrees: Advanced degrees in Computer Science or a related field.

Photon Data Analyst Interview Guide

Overview

Photon Data Analyst Salary

Photon Data Analyst Interview Process

Photon Data Analyst Interview Questions

Photon Data Analyst Jobs