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

Anblicks Data Analyst Interview Guide

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


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

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

Overview

Anblicks 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.

Anblicks 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

Anblicks Data Analyst Interview Questions

Job Title: Data AnalystLocation: Dallas, TX Job Overview:· We are looking for a capable Data Analyst to join our growing Data Platform team. The ideal candidate has experience in corporate analytics platforms focused on clickstream data from mobile applications as well as server to server data from various microservices. Who enjoys helping people find data driven solutions to their questions and can work closely with our software developers, data engineers, and business consumers by both giving and seeking necessary support. They must be self-directed and comfortable supporting the data needs of multiple client teams, systems and products. We strive for a high quality self-service platform for our partners and this role will be key in transitioning unique issues into automated or partner owned solutions. Is passionate about helping people understand data, access it, and working with engineers to create long term solutions. Responsibilities for Data Analyst:· Work with clients to aid them in learning to self-serve for basic data needs (visualization, report building, minor ad-hoc querying).· Support the internal team of Product Managers, Developers, and Data Engineers in tracking down issues, building use cases, and optimizing solutions.· Walk client teams through the exercise of building an Analytics Roadmap and working with them over the course of each quarter to make progress on these goals.· Work with our Data Scientists and other Data Analysts in designing, developing, implementing, and maintaining various production models (Propensity to Call, ML Content Personalization, Data Anomaly Detection, etc.)· Analyzing dimensions across various use cases for value add to incorporate with existing models or use cases.Must Have Experience and Skillset:· Must have an experience Snowflake, Python, Power BI(teableau).· Experience with Python, or R.· Experience with SQL.· Experience with JSON file formatting and querying.· Experience working with clickstream data and self-service digital platforms.Preferred Qualifications for Data Analyst:· Bachelor’s Degree in Mathematics, Computer Science, Statistics, or similar field.· 3+ years in a Data Analyst role· Ability to collaborate effectively to directly support stakeholders and coordinate across teams· Strong attention to detailNice to Have’s:· Experience with DataBricks or other notebook based platforms (Jupyter, etc.)· Understanding of mobile app data architectures (tagging sdks, microservices, etc.)

Job Description: Business Data AnalystLocation:- Dallas Primary Skills :- Data Integration , WSO Skill 1 :- Candidate should have experience with data integration project with SQL knowledge and ability to do basic SQL and read and understand SSIS ( to document , no need to code ) , Knowledge of Azure is a plus Skill 2:- Detailed / Working knowledge of ACBS Skill 3:- Detailed / Working knowledge of WSO At least 2 of above three skills.

4-6 years of experience:Experience in hadoop/big data technologies.experience in spark.experience in Snowflakeexperience working on Google or AWS cloud developing data solutions. Certifications preferred.Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required;Experience with containerization and related technologies (e.g. Docker, Kubernetes)Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)Comprehensive knowledge of the principles of software engineering and data analyticsAdvanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)Knowledge of agile (scrum) development methodology is a plusStrong development/automation skillsProficient in programming in Java or Python with prior Apache Beam/Spark experience a plus. System level understanding - Data structures, algorithms, distributed storage & computeCan-do attitude on solving complex business problems, good interpersonal and teamwork skills

<ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.</li><li>7+ years of experience in data engineering with a strong focus on the Azure cloud platform.</li><li>Proficiency in Databricks, SQL, Azure Data Factory, Power BI, and SSIS.</li><li>Solid understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration abilities.</li><li>Ability to manage multiple tasks and projects simultaneously.</li><li>Willingness to work in both support and development roles.</li></ul>

Experience: 6+ yearsPosition: Data Engineer - Snowflake Roles & Responsibilities: • Design, build, and maintain scalable data pipelines and architecture in Snowflake Data Warehousing environment.• Lead the design and implementation of data models and schemas to support business requirements.• Develop and optimize SQL queries and procedures for efficient data retrieval and processing.• Collaborate with cross-functional teams to understand data requirements and deliver data solutions.• Mentor and lead a team of data engineers, providing guidance on best practices and technical skills development.• Ensure data quality, integrity, and reliability throughout the data lifecycle.• Evaluate and implement cloud technologies and tools to enhance data processing and analytics capabilities.• Design and implement dimensional and relational data models to support analytics and reporting needs. Skills & Experience Required: • Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.• 4 years of experience as a Data Engineer or similar role.• Proven experience with Snowflake Data Warehousing platform.• Strong proficiency in SQL and database management systems.• Solid understanding of data modeling concepts and techniques.• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.• Proficiency in at least one programming language (e.g., Python,Scala, Java) for scripting and automation.• Excellent problem-solving and analytical skills.• Strong communication and leadership abilities.• Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.

Key Responsibilities:• Design, develop and maintain innovative end-end data analytics business solutions & technology solutions• Work with data warehouses and data lakes, ensuring data is accurate, available, and easily accessible.• Implement ELT/ETL processes using industry-standard tools and best practices.• Collaborate with data scientists, analysts, and other stakeholders to ensure data needs are met.• Develop and maintain documentation for data processes, systems, and protocols.• Stay current with emerging technologies and industry trends, applying them to current and future projects. Required Skills and Experience:• Programming Languages: Strong knowledge of Python and SQL.• Data Warehousing: Clear understanding of data warehouse fundamentals, data modeling and ELT/ETL processes.• Snowflake: Experience working with or knowledge of Snowflake.• Big Data Technologies: Experience with Apache Spark, Azure Databricks, PySpark• Cloud Platforms: Hands-on experience with Azure, AWS or Databricks. • Analytics: Strong programming and analytics skills.• Communication: Excellent verbal and written communication skills.• Quick Learner: Ability to quickly learn and adapt to new technologies and methodologies. Preferred Skills:• Experience with AI/ML lifecycle and related technologies.• Familiarity with other cloud platforms and data engineering tools.

DATA ENGINEER<ul><li>Strong foundational skills (SQL, Data Modeling, Python, Spark, Cloud)</li><li>Experience building and orchestrating data pipelines for batch, event-driven and streaming workloads (auditing, reconciliations, error handling, embedded quality/observability etc.)</li><li>Solid understanding of optimization techniques for Performance and Cost</li><li>Expertise in leveraging DevOps/CICD pipelines to deploy the code to higher environments.</li><li>Industry exposure (Retail or Healthcare or Insurance or Banking) is preferred.</li><li>Good to have skills (Governance, Lineage, Metadata, Machine Learning, BI, Reverse ETL, Data Sharing etc.)</li><li>Platform specific skills (one of the below is required)</li><li>Snowflake (Snowpipe, Snowpipe Streaming, Snowpark, Dynamic Tables, Tasks, Streams etc.)</li><li>Databricks (Delta Lake, Spark Structured Streaming, Delta Live Tables, Auto Loader, Workflows, Unity Catalog etc.)</li></ul>

Job Title: Senior Data Engineer - New Product Development Location: Hyderabad Company: Anblicks Job Type: Full-time Job Description: We are seeking a skilled Data Engineer to join our New Product Development team. The ideal candidate will have a strong background in data engineering, with expertise in Snowflake, data modeling, PySpark, and Azure Cloud. You will play a crucial role in designing and implementing data solutions that support our innovative products. Key Responsibilities: <ul><li>Design, develop, and maintain data pipelines and ETL processes using PySpark and Snowflake.</li><li>Collaborate with product teams to understand data requirements and translate them into scalable data models.</li><li>Implement and optimize data storage solutions in Azure Cloud to ensure efficient data retrieval and analysis.</li><li>Monitor and troubleshoot data workflows to ensure data quality and integrity.</li><li>Work closely with data scientists and analysts to provide the necessary data infrastructure for analytics and reporting.</li><li>Document data architecture, processes, and workflows for future reference and compliance.</li></ul> Core Skills: <ul><li>Proficiency in Snowflake for data warehousing and analytics.</li><li>Strong experience in data modeling techniques and best practices.</li><li>Expertise in PySpark for data processing and manipulation.</li><li>Familiarity with Azure Cloud services and architecture.</li><li>Knowledge of SQL and database management systems.</li><li>Experience with data governance and data quality frameworks.</li></ul> Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in data engineering or related roles. Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. Preferred Qualifications: <ul><li>Experience with other data processing frameworks (e.g., Apache Kafka, Apache Airflow).</li><li>Knowledge of machine learning concepts and tools.</li></ul>

About The Role We are seeking a Data Engineer to join our team and leverage their expertise in Snowflake, dbt, and data transformation tools to build and maintain scalable data pipelines. You will be responsible for extracting, transforming, and loading (ETL) data from Microsoft SQL Server (MSSQL) into our Snowflake data warehouse, ensuring clean, reliable data for analysis and reporting. Responsibilities <ul><li>Design, develop, and maintain data pipelines using Snowflake, dbt, or Coalesce.</li><li>Write and optimize SQL queries within dbt for efficient data transformation in Snowflake.</li><li>Utilize Coalesce or similar data transformation tools to migrate data from MSSQL to Snowflake.</li><li>Cleanse, validate, and transform data to ensure accuracy and consistency.</li><li>Design and implement data models in dbt to transform raw data into analytical-ready datasets.</li><li>Automate data pipelines and ensure their reliability and scalability.</li><li>Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions.</li><li>Develop and implement unit tests for data pipelines and data models.</li><li>Monitor and troubleshoot data pipelines for any issues.</li><li>Document data pipelines and models for future reference. </li></ul>Qualifications <ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, or a related field</li><li>Minimum 2+ years of experience as a Data Engineer or similar role.</li><li>Proven experience with Snowflake, including writing SQL queries and leveraging its functionalities.</li><li>Expertise in dbt, including model development, testing, and deployment.</li><li>Experience with data transformation tools like dbt, Coalesce, or Hevo Data.</li><li>Strong understanding of data warehousing concepts and best practices.</li><li>Experience with ETL/ELT processes.</li><li>Excellent SQL programming skills (T-SQL and Snowflake SQL).</li><li>Experience with version control systems (e.g., Git).</li><li>Familiarity with data quality concepts and techniques.</li><li>Excellent communication and collaboration skills. </li></ul>Bonus Points <ul><li>Experience with cloud platforms (e.g., AWS, Azure).</li><li>Experience with data orchestration tools (e.g., Airflow, Luigi).</li><li>Experience with data governance and security practices.</li></ul>

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and winAbout the Role:A role with Business team means being a part of the team that enables faster, smarter and more scalable decision-making to compete and win the modern retail market. Here, you’ll leverage data, statistics and visualization to create the actionable insights that deliver value across all Target functions. Our savvy reporting and analytics pros use market-leading tools and data automation to make a positive impact that’s felt across the business. If you’re an analyst who can work on autonomous teams, integrate the latest practices with your approach, write code to handle massive scale, simplify complex decisions by providing flexible, fast and sustainable decision-making solutions, then you’ll be successful here . As a Sr. Data Analyst you will support all business areas of Target with critical data analysis that helps team members make profitable decisions. Become a data expert or business analyst and utilize tools like decision trees, clustering, regression, time series, structural equation modeling, linear programming, SAS, SQL, VBA and OLAP. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. Interface with the Target business representatives and leaders to validate business requirements/requests for reporting solutions. Determine best methods in order to gather data and present information. Build reporting solutions to meet business needs. Communicate with project/team manager to share knowledge and findings. Document design and requirements for reporting solutions. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business nee d. About Y<ul><li>ou:B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivale</li><li>nt.5 - 8 years of overall Industry experience with 4-5years in data eco sys</li><li>temProven hands-on experience with Domo, Tableau & other Visualization tools (incl homegrown platforms) and a deep understanding of core DW/BI conce</li><li>ptsStrong SQL or PL/SQL programming & Unix shell scripting ski</li><li>llsHands on experience in object oriented or functional programming such as Scala &/or Python or Ja</li><li>va,Good to have exposure in Statistical Modelling, Predictive Modelling & A/B Test</li><li>ingShould have solid experience in Hadoop ecosystem and its components around writing programs using Map-Reduce, should have experience in developing Hive and Pig Scripts, should have experience in designing and developing Oozie workfl</li><li>owsGit source code managem</li><li>entExperience working in an agile environm</li><li>entExposure to R, Python, Hive or other open source langua</li><li>gesUnderstanding of foundational mathematics and statist</li><li>icsConceptual understanding of analytical techniques like Linear Regression, Logistic Regression, Time-series models, Classification Techniques, e</li><li>tc.Strong written and verbal communication skills to explain complex analytical methodologies to clients regardless of the clients technical expert</li><li>iseAny experience with Retail, Merchandising, Marketing will be strong add</li><li>onsB.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivale</li></ul> nt.

Anblicks Data Analyst Interview Guide

Overview

Anblicks Data Analyst Salary

Anblicks Data Analyst Interview Process

Anblicks Data Analyst Interview Questions

Anblicks Data Analyst Jobs