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I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.
I am fascinated by the ability of analytics to uncover insights and drive informed decision-making.
I enjoy the challenge of working with large datasets and finding patterns within them
I am passionate about using data to solve complex problems and improve processes
I find it rewarding to see the impact of data-driven decisions on business outcomes
What people are saying about Target
I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.
Target interview questions for designations
I have 3 years of experience in data analysis.
Utilized various statistical tools and software for data analysis
Performed data cleaning, transformation, and visualization
Developed predictive models and conducted trend analysis
Worked on projects involving large datasets from diverse sources
I am currently working as a Data Analyst at a tech company.
Analyzing large datasets to extract valuable insights
Creating visualizations and reports to communicate findings
Collaborating with cross-functional teams to drive data-driven decision making
I applied via Referral and was interviewed in Sep 2024. There were 4 interview rounds.
SQL - 3 set of sql questions
1 Design Question, do ER diagram, 1 JSON parsing question
Being on-site is essential for effective collaboration, communication, and access to necessary resources.
On-site presence allows for real-time collaboration with team members and stakeholders.
Face-to-face communication can help clarify requirements and expectations more effectively.
Access to physical resources such as servers or data centers may be necessary for certain tasks.
Being on-site can also facilitate quicker d...
I applied via Company Website and was interviewed in Sep 2024. There were 2 interview rounds.
Hackerrank - 1 hour interview
I applied via Recruitment Consulltant and was interviewed before Jun 2023. There were 3 interview rounds.
Sql questions - self join, window functions, CTEs
P value is a measure that helps determine the significance of results in a statistical hypothesis test.
P value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.
A small p value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.
A large p value (> 0.05) suggests weak evidence against the null hypothesis, failin...
I applied via Naukri.com and was interviewed in Jun 2024. There was 1 interview round.
Running totals in a year using DAX
Use the DAX function CALCULATE to create running totals
Use the FILTER function to specify the date range for the running total
Example: CALCULATE(SUM(Sales[Amount]), FILTER(ALL('Date'[Date]), 'Date'[Date] <= MAX('Date'[Date])))
Sql and python questions were asked
I am fit for the role due to my extensive experience in data analysis, strong analytical skills, and ability to communicate insights effectively.
Extensive experience in data analysis
Strong analytical skills
Ability to communicate insights effectively
Implemented predictive analytics model to optimize inventory management for a retail company
Identified key factors affecting inventory levels such as seasonality, promotions, and supplier lead times
Utilized historical sales data to forecast demand and optimize inventory levels
Developed a predictive analytics model using machine learning algorithms to predict future sales and recommend optimal inventory levels
Implemente...
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