Synaptek Corporation is a high-tech company, thriving at the intersection of technology and government solutions. With a commitment to innovation and understanding the rapid pace of tech advancements, Synaptek ensures comprehensive and strategic information management, specifically tailored for federal government clients. The company slogan, “Technology moving at the speed of thought,” reflects this adaptive and forward-thinking approach.

The Data Analyst role at Synaptek is pivotal, offering the opportunity to leverage advanced data analysis, visualization, and business intelligence tools, such as Power BI and Tableau. This position involves developing and automating business dashboards, improving data processes, and supporting data management initiatives. Dedicated professionals with a track record of delivering results and driving data-driven decisions will find a fulfilling career path here.

For those ready to propel their careers with Synaptek, this guide from Interview Query will offer insights into the interview process, key questions, and preparation tips. Let’s embark on this journey together!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Synaptek Corporation as a data analyst. Whether you were contacted by a Synaptek Corporation recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Synaptek Corporation Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Synaptek Corporation data analyst hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Synaptek Corporation data analyst role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Synaptek Corporation’s data systems, ETL pipelines, and SQL queries.

In the case of data analyst roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Synaptek Corporation office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the data analyst role at Synaptek Corporation.

Quick Tips for Synaptek Corporation Data Analyst Interviews

• Understand Synaptek Corporation’s Core Competencies: Familiarize yourself with the responsibilities and required qualifications listed in the job posting, such as proficiency in data warehousing, BI technologies like Power BI, and experience working with cloud solutions like Azure.
• Review Relevant Technical Skills: Be sure to brush up on SQL, data visualization tools (Power BI, Tableau), and any other technical tools mentioned in the job description. Practice relevant scenarios using platforms like Interview Query.
• Prepare for Behavioral Questions: Synaptek Corporation values competencies like teamwork, customer service, and problem-solving. Prepare to answer questions that demonstrate your ability to work collaboratively and handle complex data-related challenges.

Typically, interviews at Synaptek Corporation vary by role and team, but commonly Data Analyst interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to find the maximum number in a list of integers. Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

• Create a function convert_to_bst to convert a sorted list into a balanced binary tree. Given a sorted list, create a function convert_to_bst that converts the list into a balanced binary tree. The output binary tree should have a height difference of at most one between the left and right subtrees of all nodes.

• Write a function to simulate drawing balls from a jar. Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

• Develop a function can_shift to check if one string can be shifted to become another. Given two strings A and B, write a function can_shift to return whether or not A can be shifted some number of places to get B.

• What are the drawbacks of having student test scores organized in the given layouts? Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in "messy" datasets.

• How would you locate a mouse in a 4x4 grid using the fewest scans? You have a 4x4 grid with a mouse trapped in one cell. You can scan subsets of cells to know if the mouse is within that subset. Describe a strategy to find the mouse using the fewest number of scans.

• How would you select Dashers for Doordash deliveries in NYC and Charlotte? Doordash is launching delivery services in NYC and Charlotte and needs a process for selecting dashers. Describe how you would decide which dashers to select and whether the criteria would be the same for both cities.

• What factors could bias Jetco's study on boarding times? Jetco, a new airline, had a study showing it has the fastest average boarding times. Identify potential factors that could have biased this result and what you would investigate further.

• How would you design an A/B test to evaluate a pricing increase for a B2B SAAS company? A B2B SAAS company wants to test different subscription pricing levels. Describe how you would design a two-week A/B test to evaluate a pricing increase and determine if it is a good business decision.

• How much should we budget for a $5 coupon initiative in a ride-sharing app? A ride-sharing app has a probability (p) of dispensing a $5 coupon to a rider and services (N) riders. Calculate the total budget needed for the coupon initiative.

• What is the probability of both or only one rider getting a coupon? A driver using the app picks up two passengers. Determine the probability of both riders getting the coupon and the probability that only one of them will get the coupon.

• What is a confidence interval for a statistic and why is it useful? Explain what a confidence interval is, why it is useful to know the confidence interval for a statistic, and how to calculate it.

• What is the probability that item X is found on Amazon's website? Amazon has a warehouse system where item X is available at warehouse A with a probability of 0.6 and at warehouse B with a probability of 0.8. Given that items are only listed on the website if they exist in the distribution centers, calculate the probability that item X would be found on Amazon's website.

• Is a coin that lands tails 8 out of 10 times fair? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if this is a fair coin.

• What are time series models and why are they needed? Describe what time series models are and explain why they are necessary when less complicated regression models are available.

• How would you justify the complexity of building a neural network model and explain predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of the model and explain its predictions to non-technical stakeholders?

• How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate if a decision tree is the correct model? How would you evaluate its performance before and after deployment?

• How does random forest generate the forest, and why use it over logistic regression? Explain how random forest generates its forest. Additionally, why would you choose random forest over other algorithms like logistic regression?

• How would you explain linear regression to a child, a first-year college student, and a seasoned mathematician? Explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician. Tailor your explanations to each audience's understanding level.

• What are the key differences between classification models and regression models? Describe the main differences between classification models and regression models.

What is the average salary for a Data Analyst at Synaptek Corporation?

Q: What does the role of a Data Analyst at TekSynap involve?

A: As a Data Analyst at TekSynap, you will be responsible for designing, building, integrating, maintaining, automating, and administering business visualizations, dashboards, reports, and KPIs. Your specific expertise will include Microsoft Azure data warehouse solutions, SQL Server, Power BI, Tableau, and data analytics, among others. The role also requires you to prepare system and data requirements, identify and propose new data sources, and support project activities in highly collaborative environments.

Q: What qualifications are needed for a Data Analyst position at TekSynap?

A: Candidates must have a Bachelor's degree in a relevant field such as data science, statistics, mathematics, or computer science, and a minimum of 7 years' experience working as a data analyst with tools like Tableau and Power BI. Additional required qualifications include experience with Data Warehousing, data mapping, integration, and manipulation, as well as strong communication and problem-solving skills. Experience supporting Federal Government customers is a plus.

Q: What is the work environment like for a Data Analyst at TekSynap?

A: The work environment varies but typically includes office settings with low to medium noise levels. Standard operational hours are typically between 0600-1800, Monday-Friday, with occasional requests to work evenings and weekends to meet program and contract needs. Travel is generally less than 10%.

Q: Does TekSynap offer any benefits to its full-time employees?

A: Yes, TekSynap offers a competitive benefits package to its full-time employees, which includes health, dental, vision, 401K, life insurance, short-term and long-term disability plans, as well as vacation time and holidays.

Q: How can I prepare for an interview at TekSynap for a Data Analyst role?

A: To prepare for an interview at TekSynap, you should research the company and its projects, and practice common interview questions using resources like Interview Query to review your technical skills. Be ready to discuss your past work experience and how it aligns with the responsibilities and required qualifications of the role.

Ready to embark on an exciting journey with TekSynap Corporation? Dive into our interview insights and tap into the expansive knowledge with our dedicated TekSynap Interview Guide. Sharpen your skills and be well-prepared for your next big step. At Interview Query, we provide you with the strategic edge to tackle every interview challenge confidently. Browse our company interview guides and unlock endless opportunities. Good luck with your interview!