Mock Interview & Feedback: Data Analyst

Albert's List
26 Oct 202061:07
EducationalLearning
32 Likes 10 Comments

TLDRIn this mock interview session, Corey Hiramoto interviews Armand Damalusky, a data analyst, focusing on his experiences and skills. They discuss Armand's background, SQL proficiency, remote work challenges, and strategies for handling contentious situations. The session provides valuable insights for job seekers, including tips on answering common interview questions and showcasing their abilities effectively.

Takeaways
  • ๐Ÿ˜€ The session is a mock interview webinar aimed at helping job seekers, hosted by Albert and featuring Corey Hiramoto interviewing Armand Damalusky, a data analyst.
  • ๐ŸŽ“ All three hosts and Armand are alumni of Santa Clara University, creating an 'All Santa Clara University' themed webinar.
  • ๐Ÿ—ฃ๏ธ The format includes a pre-selected job description and resume review, with the audience encouraged to provide feedback and ask questions to enhance the realism of the experience.
  • ๐Ÿ“ˆ Armand has a background in economics and data analysis, with roles ranging from economic analyst to business analytics manager, and he has progressively developed his SQL and data visualization skills.
  • ๐Ÿ’ก Armand is seeking opportunities in the online technology space, particularly interested in the impact and challenges of working at companies like Stripe, which is focused on digital payments and the internet economy.
  • ๐Ÿ” The interview delves into Armand's technical skills, particularly his proficiency in SQL, and his ability to lead and manage teams in previous roles.
  • ๐Ÿ“Š Armand discusses his experience in creating impactful dashboards and reports, emphasizing the importance of aligning with stakeholders and iterating based on feedback.
  • ๐Ÿค The session highlights the value of building relationships and trust with colleagues, especially when dealing with conflicts or working remotely.
  • ๐ŸŒ The importance of remote work skills is underscored, with Armand sharing his strategies for overcoming isolation and maintaining team cohesion.
  • ๐Ÿ”‘ The interview also addresses how to convincingly present data in contentious situations and the need for transparency and clear communication of data sources and methodologies.
  • ๐Ÿš€ Looking ahead, Armand expresses his career aspirations to manage a team of analysts and data scientists, focusing on continuous learning and growth within the company.
Q & A
  • What is the main purpose of the mock interview session in the video?

    -The main purpose of the mock interview session is to help job seekers practice their interview skills in a realistic setting, receive feedback, and learn how to answer common interview questions effectively.

  • Who is conducting the mock interview in the video?

    -Corey Hiramoto is conducting the mock interview in the video.

  • What is Armand Damalusky's educational background according to the video?

    -Armand Damalusky has a background in economics, having studied at Santa Clara University.

  • What types of problems does Armand find himself increasingly drawn to, as mentioned in the video?

    -Armand is drawn to problems involving people and complex data analysis, where he can work collaboratively and provide input and analysis to multiple stakeholders.

  • What is the significance of the tech stack in the context of the job description provided in the video?

    -The tech stack is significant because it outlines the technical skills and tools required for the job, such as SQL, which is a key requirement for the data analyst role at Stripe mentioned in the video.

  • How does Armand describe his experience with SQL in the video?

    -Armand describes his experience with SQL as proficient, rating himself around a 4 on a scale from 1 to 5, indicating that he has substantial experience but acknowledges there is room for growth and learning.

  • What is the importance of the STAR method mentioned in the video?

    -The STAR method is important as it provides a structured format for answering behavioral interview questions, making it easier for interviewers to follow and assess the candidate's responses.

  • What does Armand consider when looking for in his next role or company, as per the video?

    -Armand is looking for opportunities to grow and learn rapidly, as well as the chance to work on hard problems with good people, which he identifies as key factors for accepting an offer from a company like Stripe.

  • How does Armand handle working with a disagreeable person in a project, as discussed in the video?

    -Armand handles it by seeking to understand the person's perspective, documenting and clarifying requirements, and ensuring that all stakeholders feel heard. If conflicts persist, he suggests escalating the issue for resolution.

  • What is the role of dashboards and reports in Armand's previous role, as mentioned in the video?

    -In Armand's previous role, he built dashboards and reports that were used by multiple stakeholders to monitor key performance indicators (KPIs) and make data-driven decisions, highlighting the impact and scope of his work.

  • How does the interview session address the issue of remote work challenges, according to the video?

    -The interview session addresses remote work challenges by discussing strategies to overcome feelings of isolation, such as organizing social events and maintaining communication with the team, which Armand has experienced in his previous roles.

Outlines
00:00
๐ŸŽ“ Introduction to the Mock Interview Session

The session begins with a welcoming introduction by the host, who sets the stage for a mock interview with Corey Hiramoto. The host, also a Santa Clara University alumnus, outlines the format of the webinar, which includes an interview with Armand, another Santa Clara graduate and a data analyst. The audience is encouraged to participate by offering feedback and asking questions. The host also mentions his role as a recruiter and his familiarity with the hiring process, particularly for analyst roles. He provides some background on the interviewee, Armand, and his career trajectory, highlighting his diverse experience in economics, data analysis, and public policy.

05:01
๐Ÿ” Exploring Armand's Background and Skills

In this paragraph, the focus shifts to Armand's professional background. He discusses his progression from economic analyst to roles that increasingly involved data analysis and teamwork. Armand emphasizes his interest in complex data problems and his desire to work in collaborative environments. He also details his technical skills, particularly his experience with SQL, and provides context for his work in various roles, including his most recent position at Calvary College, which was affected by COVID-19 budget cuts.

10:02
๐Ÿ’ก Armand's Interest in the Technology and Payments Industry

Armand expresses his enthusiasm for the online technology space, particularly the payments industry, which he sees as the backbone of the digital economy. He explains his attraction to the fast-paced, data-driven decision-making process in the private sector, as opposed to the slower government processes he experienced in his previous roles. The conversation also touches on Armand's desire to work on challenging problems and his appreciation for the culture and mission of companies like Stripe.

15:02
๐Ÿ“Š Armand's Experience with Data Analytics and Team Management

The discussion delves into Armand's experience with data analytics, including his work with various technologies like Google Analytics, Facebook Ads data, and Tableau for data visualization. He also discusses his experience managing a team of five at Resistance Labs, outlining their roles and how he approached team management and project execution. Armand's proficiency in SQL is highlighted, with him rating his skills and explaining how he would approach learning and improving in this area.

20:03
๐ŸŒŸ Armand's Vision for Personal and Professional Growth

Armand shares his aspirations for personal and professional growth, emphasizing his desire to join a company where he can learn rapidly and work on complex problems with talented individuals. He specifically mentions Stripe's culture and mission as aligning with his career goals. The conversation explores his motivations for seeking a role at Stripe and his interest in the impact that the company has on the global economy through its payment solutions.

25:06
๐Ÿ›  Armand's Approach to Handling Difficult Team Dynamics

Armand recounts a situation where he had to navigate conflicts between higher-ups in a previous role. He discusses his strategy for managing such situations, which includes documenting and clarifying stakeholder feedback, ensuring buy-in, and escalating issues when necessary. His approach focuses on understanding the root of conflicts and finding resolutions that don't involve exacerbating disagreements.

30:09
๐Ÿข Navigating Remote Work Challenges

Armand reflects on his experience working remotely, which has been a significant part of his career. He addresses the challenges of isolation and the importance of feeling connected to a team. His strategies for overcoming these obstacles include organizing social events and fostering a sense of community, which he found beneficial during the pandemic when many people were working remotely.

35:09
๐Ÿ“ˆ Armand's Experience with Building Impactful Dashboards

In this segment, Armand describes his experience creating dashboards and reports used by numerous stakeholders. He discusses the process of building a dashboard for digital advertising at Calvary College, the importance of key performance indicators (KPIs), and how he used data to identify and address issues in the student recruitment pipeline.

40:10
๐Ÿค Armand's Conflict Resolution and Relationship Building

Armand shares a detailed account of how he managed a challenging situation involving a disagreeable colleague. He emphasizes the importance of understanding the other person's perspective, documenting interactions, and building empathy. His approach led to a positive outcome where the initially difficult colleague became a valuable ally.

45:11
๐Ÿ”ฎ Armand's Long-Term Career Aspirations

Armand envisions himself leading a team of analysts and data scientists at Stripe in the coming years. He expresses his interest in combining his technical skills with leadership capabilities to make a significant company-wide impact. His goal is to continue learning and growing within the role, taking on additional responsibilities as he advances in his career.

50:12
๐Ÿ“Š Armand's Dedication to Data Integrity and Persuasion

The conversation turns to Armand's process for convincing skeptics of the authenticity of the data he presents. He discusses the importance of establishing common ground, using internal data sets as a reference point, and having individual conversations to address doubts and recreate the evidence chain. His approach has been successful in gaining trust and support for his data-driven recommendations.

55:12
๐Ÿš€ Armand's Project Initiation and Stakeholder Management

Armand outlines his process for starting new projects, whether they are his own initiative or assigned by others. He emphasizes the importance of understanding the end goal, working backward to determine the necessary resources and timeline, and continuously communicating with stakeholders to ensure alignment and buy-in. His approach involves asking questions, setting expectations, and creating a feedback loop to adjust the project as needed.

00:13
๐Ÿ“˜ Resources for Aspiring Data Analysts and Closing Remarks

The session concludes with a discussion about resources for learning Tableau, the value of Google's career certificate program for data analysts, and the importance of reporting and analytics in the field. The host and Armand address questions from the audience about transitioning into data analytics roles, the difficulty of moving from software engineering to data analysis, and common interview pitfalls. The host also shares information about upcoming events and resources available to the community.

Mindmap
Keywords
๐Ÿ’กMock Interview
A mock interview is a simulated job interview conducted to prepare candidates for the actual interview process. In the video, Corey Hiramoto conducts a mock interview with Armand Damalusky to help him practice for real interviews. The mock interview serves as a central theme of the video, demonstrating practical scenarios and providing feedback to improve interview skills.
๐Ÿ’กData Analyst
A data analyst is a professional who collects, processes, and interprets data to help organizations make decisions. The video revolves around Armand's pursuit of a data analyst role, with discussions on his skills, experience, and the interview process for such a position. The role requires technical skills like SQL and analytical thinking, which are frequently referenced throughout the script.
๐Ÿ’กSanta Clara University
Santa Clara University is an institution mentioned in the script as the alma mater of both Armand and other individuals involved in the interview. It serves as a common background that connects the participants and adds a layer of shared experience to the discussion, emphasizing the community aspect among alumni.
๐Ÿ’กTechnical Stack
The technical stack refers to the set of technologies and tools used in the development and execution of software or data analysis projects. In the context of the video, Armand discusses his proficiency in various tools such as Google Analytics, Salesforce, and SQL, which are part of his technical stack and relevant to the data analyst role he is pursuing.
๐Ÿ’กSQL
SQL (Structured Query Language) is a domain-specific language used in programming and software engineering to manage and manipulate data stored in relational database management systems. In the script, Armand's proficiency in SQL is discussed as a critical skill for the data analyst role he is interviewing for, and he rates his own SQL skills on a scale of one to five.
๐Ÿ’กInterview Questions
Interview questions are the inquiries posed by interviewers to gauge a candidate's suitability for a job. The video provides examples of common and situational interview questions, such as those about teamwork, conflict resolution, and future career aspirations. These questions help to assess Armand's fit for the data analyst position.
๐Ÿ’กSTAR Technique
The STAR technique is a structured method for responding to behavioral interview questions. It stands for Situation, Task, Action, and Result. In the script, the STAR technique is mentioned as a way to organize and deliver responses to questions that require examples of past experiences, such as handling a difficult colleague or working on a team.
๐Ÿ’กRemote Work
Remote work refers to the practice of working from a location outside the traditional office setting, often from home. The script discusses the challenges and strategies for successful remote work, such as overcoming feelings of isolation and maintaining team cohesion, especially relevant during the COVID-19 pandemic.
๐Ÿ’กData Visualization
Data visualization is the presentation of data in a graphical format to make it easier to understand and analyze. In the video, Armand talks about his experience with Tableau, a tool for data visualization, which is a key component of a data analyst's role in presenting insights to stakeholders.
๐Ÿ’กCareer Transition
Career transition refers to the process of moving from one job or career to another. The script touches on the topic when discussing Armand's varied experience and how he frames his diverse background as an asset in transitioning to a data analyst role, emphasizing the importance of storytelling in career development.
๐Ÿ’กBehavioral Interviewing
Behavioral interviewing is a technique where interviewers ask questions about past behavior to predict future performance. The video script includes examples of behavioral questions and how to answer them effectively, such as explaining how one would handle a contentious work situation or working with a difficult person.
๐Ÿ’กPerformance Rating
A performance rating is an evaluation of an employee's work performance, often used in annual reviews or as part of the hiring process. In the script, the mention of performance ratings serves as a way to validate a candidate's ability to perform well in a remote work setting, showcasing Armand's capability to excel in his previous roles.
๐Ÿ’กKPIs (Key Performance Indicators)
KPIs are quantifiable measures used to track the performance of a company or individual in meeting their objectives. In the video, Armand discusses the importance of KPIs such as cost of acquisition and conversion rates in his role at Calvary College, demonstrating how KPIs are central to the data analyst's function of measuring and improving business outcomes.
๐Ÿ’กSalary Negotiation
Salary negotiation is the process of discussing and agreeing on the salary for a job position. The script briefly touches on this topic, mentioning an upcoming webinar on salary negotiations, indicating the importance of this skill in the job search and interview process.
๐Ÿ’กEconomics
Economics is the social science that studies the production, distribution, and consumption of goods and services. Armand's background in economics is highlighted in the script as a foundation for his interest in the payments industry, which is central to the digital economy, showing how his academic background informs his career aspirations.
๐Ÿ’กDigital Advertising
Digital advertising refers to any promotional efforts that use the internet and other digital platforms to reach potential customers. In the script, Armand's experience with digital advertising analytics is discussed, including his work with ad data from platforms like Facebook, Bing, and Google, which is directly relevant to the data analyst role he is pursuing.
๐Ÿ’กTableau
Tableau is a data visualization software that allows users to create interactive and shareable dashboards. The script mentions Armand's experience with Tableau in building visualizations for data analysis, emphasizing the importance of this tool in presenting complex data in an accessible format.
๐Ÿ’กSalesforce
Salesforce is a customer relationship management (CRM) platform that helps organizations manage their interactions with customers and potential customers. In the video, Armand discusses his experience using Salesforce for data integration and dashboard creation, showcasing its role in streamlining data workflows for analytics.
Highlights

Introduction to the mock interview series aimed at helping job seekers during COVID-19.

Corey Hiramoto, a Santa Clara University alumnus, interviews Armand Damalusky, a data analyst.

Armand's background in economics and public policy, and his transition to data analysis.

The importance of showcasing SQL skills for data analyst roles, as highlighted by the job description for Stripe.

Armand's experience with managing a team of five at Resistance Labs and his approach to leadership.

The significance of tailoring interview responses to the job description and demonstrating relevant experience.

Armand's self-rating of SQL proficiency and his approach to continuous learning.

The value of research about the company culture and mission in preparing for an interview.

Strategies for handling conflicts with higher-ups in a professional setting.

The STAR method for answering behavioral interview questions effectively.

Armand's process for starting a new project, emphasizing planning and stakeholder communication.

The challenge of working remotely and how Armand overcomes feelings of isolation.

Armand's vision for his career path, aiming to manage a team of analysts and data scientists at Stripe.

Addressing skepticism about data authenticity and the importance of building trust with stakeholders.

The role of data analysts in reporting and analytics, and the significance of dashboards.

Armand's advice on gaining experience with Tableau and leveraging free resources.

Discussion on the value of Google's career certificate program for data analysts.

The transition from software engineering to data analysis and the importance of demonstrating relevant skills.

Common interview pitfalls and how to avoid them, including selecting the wrong example for a question.

Transcripts
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