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

Fast Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Fast? The Fast Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Fast Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Fast.</li>
<li>Practice real Fast 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 Fast Data Analyst interview.


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

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

Overview

Fast 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.

Fast 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

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

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

Fast Data Analyst Interview Questions

<ul><li>Top skills required for this role are: advanced SQL querying skills (joins, primary and foreign keys etc.), conversion to JSON, webservices, writing acceptance criteria in Gherkin and/or writing test cases, data migration and data cleansing.</li><li>Experience in Jira and Postman are preferred.</li><li>Experience in Tableau / Splunk reporting is not required for this role, but it is a nice to have skill.</li></ul> Must Have Qualifications: Must be proficient with relational databases and have hands on experience using reporting tools including, MS Query, Rapid SQL, and/or MS Access. Must be proficient with MS Office Suite. Must have experience querying using SQL and write queries using JSON . Must have experience with Webservice consolidation and Web Conversions. An ideal candidate would have experience supporting data migrations and maintaining complex data mapping documentation. Azure Secure or Jira is preferred. Responsibilities:<ul><li>This role will support the Client’s counterparty and access management space.</li><li>Known activities include supporting data migration, creating complex SQL queries and executing them for analysis, JSON construction, consumer testing.</li><li>Additional activities will likely include identifying proper metadata to enable system access for new applications and roles, troubleshooting production issues, supporting ad hoc and routine questions, requiring data pulls.</li><li>The successful candidate will possess strong analytical and follow-up skills.</li></ul> Qualifications:<ul><li>5 – 7 years of related data analytics experience.</li><li>Bachelor’s degree: Business, Statistics, Information Systems, or related field or equal work experience.</li><li>Proficient with relational databases and using reporting tools such as Tableau, MS Query, Rapid SQL, and MS Access.</li><li>Job requires experience using MS Office applications including MS Excel and MS PowerPoint.</li><li>Basic understanding of UNIX, VBA & SharePoint.</li><li>Ability to thrive in a face-paced team environment.</li><li>Detail oriented with strong problem-solving abilities.</li><li>Excellent verbal and written communication skills.</li><li>Ability to understand and explain complex business concepts and reporting requirements.</li><li>Experience with webservices and JSON construction.</li><li>Ability to think critically and logically.</li></ul>

Role: Sr. Data AnalystLocation: Irving, TX 75039 **(Onsite)Type: Full time As a member of the Data and Analytics team, the Sr. Data Analyst role will contribute to the success in both the daily operations and long-term strategy of the organization s data assets. The optimal candidate brings a business-centric mindset to data analysis efforts and has a track record of being a growth enabler.Qualifications/Skills:<ul><li>Mastery in converting raw data into valuable datasets.</li><li>Excellent prioritization skills</li><li>Excellent problem solving and troubleshooting skills.</li><li>Process oriented with great documentation skills.</li><li>Financial industry exposure would be nice to have since this would really help when talking to our business stakeholders.</li><li>Excellent oral and written communication skills with a keen sense of customer service</li></ul>Education/Experience:<ul><li>BS or MS degree in Computer Science or a related field</li><li>8+ years of data analysis experience and strong experience writing complex queries.</li><li>4+ years of data management experience</li><li>3+ years of experience in Azure environment.</li><li>2+ years of experience in Enterprise Data Governance</li><li>Experience in gathering data/reporting requirements from business stakeholders.</li><li>Adept at queries, building reports, and making presentations.</li><li>Must be comfortable delivering on multiple priorities concurrently.</li><li>Must have experience with relational design database design, including creating, modifying tables, views and indexes, stored procedures, functions and triggers.</li><li>Understand software development life cycle.</li></ul>Nice to have:<ul><li>Experience in automotive and Insurance sector is a plus.</li><li>Cloud certification on any platform a plus.</li></ul>

Job Title: Data Cleansing AnalystBusiness Unit: Vice President for Human Resources Duration: 12/02/2024 - 06/06/2025Location: Hybrid (do not necessarily need someone to be onsite but needs to be local in case they need them to come in for a mtg) -- 450 Serra Mall (Bldg 500 - at Campus Loop), Stanford, CA 94305Shift Time: 8 AM - 5 PM PST Description: Education Requirement: High School diploma / GED required THIS IS NOT A HIGH LEVEL ROLE. Very entry level/intern position Project: Replacing PeopleSoft with new Oracle system Day-to-day Responsibilities:- Data cleansing- Data manipulation (cut and paste Word or text documents to get them into the proper format, match up data values for our data mapping, etc).- Need to be able to break up documents (job profiles) into different parts to load it into the new system- Extracting values in Excel Requirements:- Does not need PeopleSoft/Oracle exp. Just needs to be able to use Word and Excel- Intern level, no degree needed

NAM Info Inc. is seeking a qualified candidate for a job with one of our clients. Please go through the job description and replay back with the information belowExpected CTC:Present CTC:Least Notice Period (LWD): Role: Data Analytics Visualization Subject Matter Expert (SME)Location: BangaloreEmployment Type: Full-time with Nam InfoWork Schedule: Monday to Friday (5 days a week)Experience: 10+ Years Role Overview:The Data Analytics Visualization SME will work closely with the risk analytics team to transform data into visually compelling insights, supporting decision-making and risk analysis for stakeholders. This role involves designing data displays, developing AI/ML use cases, and maintaining visualization dashboards that meet the needs of executives and various business units. Key Responsibilities:<ul><li>Create and draft concept papers to outline processes and develop data visualization strategies for risk analytics review and approval.</li><li>Develop best-practice primers on data collection, analytical methods, data visualization, complex event processing, business performance management, performance measurement, predictive and prescriptive analytics, decision architecture, and executive reporting.</li><li>Regularly update visual information products to reflect new data, analyses, models, and business requirements.</li><li>Design AI and ML use cases focusing on anomaly detection and risk analytics.</li><li>Upload and manage raw and analyzed data on the visual information dashboard, ensuring timely updates.</li><li>Collaborate with HEB Risk team members and end users across different business lines to clarify reporting needs and develop effective designs for dashboards and reporting solutions.</li><li>Support both legacy and modern database architectures to accommodate evolving data structures.</li><li>Analyze and visually present trends across various data sources, including performance metrics, financial data, and risk portfolio analytics tailored to diverse stakeholder audiences.</li><li>Effectively manage time and deadlines, consistently meeting project timelines.</li><li>Engage and communicate proficiently with senior executives, peers, and contractor personnel in a dynamic, fast-paced environment.</li><li>Demonstrate strong verbal and written communication skills essential for success in this role.</li></ul> Required Qualifications:<ul><li>Education: Bachelor’s degree in Computer Science, Economics, Mathematics, Engineering, or a related field is preferred. Equivalent experience may be considered in place of a degree (5 years of relevant experience).</li><li>Technical Skills:</li><li>Advanced proficiency with Tableau.</li><li>Strong knowledge of Python and experience with machine learning libraries.</li><li>Experience with data manipulation within cloud platforms (AWS, Microsoft Azure, or GCP).</li><li>Attributes: High attention to detail and a proactive approach to problem-solving.</li><li>Clearance: Successful candidates will undergo a government background investigation and must meet eligibility and suitability standards.</li></ul> Preferred Qualifications:<ul><li>Education: Master’s degree in Data Science, Data Analytics, Management Information Systems (MIS), Engineering, or a related field is highly desirable.</li><li>Technical Expertise:</li><li>Advanced Tableau skills, including Tableau Desktop and Tableau Server, with experience in publishing and dashboard development (super-user level proficiency).</li><li>Proficiency in SQL, PL/SQL, and Presto, particularly for Oracle and Postgres environments.</li><li>Familiarity with risk enterprise systems, including Enterprise Data Warehouse (EDW) and Operational Data Store (ODS).</li></ul> Regards, PraveenStaffing Executive NAM Info Pvt Ltd,Email: praveen@nam-it.comWebsite - <a>www.nam-it.com</a>

Summary:The primary function of the Data Analyst is to provide business intelligence support through the creation and delivery of repeatable and ad-hoc reports (charts, graphs, tables, etc.), enabling informed business decisions across various areas. Key Responsibilities:<ul><li>Analyze Performance: Evaluate the performance of process activities, identify issues, and present findings through clear, concise charts, graphs, tables, or summaries.</li><li>Reporting and Tracking: Establish standardized methods for recording, tracking, and reporting on activities.</li><li>ETL Processes: Design, implement, automate, and maintain large-scale enterprise data ETL (Extract, Transform, Load) processes.</li><li>Database Management: Modify and maintain databases and database management systems. Direct programmers and analysts as needed to make changes.</li><li>Process Improvement: Assess activity trends to identify opportunities for process improvements and provide recommendations.</li><li>Research and Development: Conduct research on emerging products, services, and techniques in the field of data analysis.</li></ul> Skills Required:<ul><li>Strong interpersonal and consultative skills for translating and understanding reporting requirements.</li><li>Ability to work both independently and as part of a team.</li><li>Excellent written, verbal, and presentation communication skills.</li><li>Knowledge of key information service standards (e.g., SDLC, ITIL, QA/testing, Six Sigma).</li><li>Proficient in Microsoft SharePoint and strong PC skills.</li><li>Korean speaking is a big preference. </li></ul> Education & Experience:<ul><li>Bachelor's Degree in a technical field such as computer science, computer engineering, or a related discipline.</li><li>6+ years of relevant experience in data analysis or business intelligence roles.</li><li>Process certifications such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI are preferred.</li></ul> Additional Responsibilities:<ul><li>Administer analytics tools, including site tagging, configuration, audits, monitoring, custom dashboards, and user training.</li><li>Generate and improve both regularly scheduled and ad-hoc web analytics reports to provide impactful insights.</li><li>Develop and implement web analytics strategies, including custom tagging and tracking (e.g., JavaScript for events and triggers in Tag Manager).</li><li>Collaborate with cross-functional teams (Business, Category, Product, Merch, UX) to deliver analytics reporting and insights.</li><li>Utilize SQL to extract valuable insights from large data sets such as clickstream and transactional data.</li><li>Develop measurement frameworks and reports for non-technical audiences to improve digital marketing and customer conversion funnels.</li><li>Ensure data quality and integrity for key functions such as internal mapping, product hierarchy, and site taxonomy.</li><li>Coordinate and analyze experiments across digital channels (web, mobile, app), working closely with strategy teams, product managers, designers, developers, and marketers.</li><li>Maintain and optimize an A/B testing pipeline, from ideation to execution and analysis.</li><li>Define, prioritize, and communicate key hypotheses and metrics for testing, and provide actionable recommendations.</li><li>Stay current on trends and best practices in A/B testing, digital analytics, and UX</li></ul>

JOB SCOPE Responsible for extracting and analyzing data from various sources, including databases, manual files, and external websites. Responds to data inquiries from various groups within the organization. Creates and publishes regularly scheduled and adhoc reports. Documents reporting requirements and processes and validates data components as required. Requires experience with relational databases and knowledge of query tools and/or statistical software. DUTIES AND RESPONSIBILITIES  Extract, clean, and transform data from various sources such as databases, files, and APIs.  Perform exploratory data analysis to identify trends, patterns, and correlations within the data.  Develop and maintain databases, data models, and data pipelines to ensure efficient data storage and retrieval.  Create and automate reports, dashboards, and visualizations to communicate insights to stakeholders.  Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.  Conduct statistical analysis and hypothesis testing to validate findings and make data- driven recommendations.  Monitor data quality and integrity, identifying and resolving discrepancies or anomalies.  Implement data governance policies and procedures to ensure compliance with regulatory standards.  Stay updated on emerging technologies and best practices in data analysis and data management.  Support ad-hoc data requests and special projects as needed. Qualifications: REQUIRED QUALIFICATIONS  Three or more years of experience working as a data analyst or in a similar analytical role.  This individual has experience with being on a team that is growing - Flexible and openness to change.  At a minimum - basic python understanding (Plotly)  Proficiency in data querying languages such as SQL (Structured Query Language) and PostreSQL for relational databases.  Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.  Experience with data visualization tools such as Tableau or similar platforms to create compelling visualizations with dashboards.  Capable and confident in presenting analytical findings to stakeholders with a focus on highlighting the value of said findings.  Understanding of general data engineering best practices and/or capability to collaborate with data engineers to figure out the "what/how" of data pipelines.  Knowledge of statistical analysis techniques and tools for data exploration and modeling.  Familiarity with data management principles and best practices, including data cleansing, data integrity, and data governance.  Excellent communication skills with the ability to effectively present findings and insights to both technical and non-technical stakeholders.  Strong problem-solving abilities and the capacity to work independently as well as collaboratively in a team environment.  Proven success in a collaborative, team-oriented environment.  Bonus: Telecom experience. Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply. If you would like to complete our voluntary self-identification form, please <a>click here</a> or copy and paste the following link into an open window in your browser: https://jobs.beaconhillstaffing.com/eeoc/ Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles. Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting <a>www.bhsg.com</a>. We look forward to working with you. Beacon Hill. Employing the Future™

Fast Data Analyst Interview Guide

Overview

Fast Data Analyst Salary

Fast Data Analyst Interview Process

Fast Data Analyst Interview Questions

Fast Data Analyst Jobs