Apply for the Data Analyst position at Ericsson in Noida, India. Work with operational and statistical data, develop automation scripts, and create visually compelling data visualizations.
About Ericsson – Data Analyst Opportunity
Ericsson is a global leader in telecommunications and data communication technologies. As a Data Analyst at Ericsson in Noida, you will have the opportunity to work with cutting-edge technologies, helping improve effectiveness through process development, automation, and data visualization.
Job Description for Data Analyst at Ericsson
Ericsson is seeking a Data Analyst to join their team in Noida, Uttar Pradesh. This role involves defining, creating, automating, and maintaining operational and statistical data to improve decision-making across various customers.
Key Details of Data Analyst at Ericsson
| Company Name | Ericsson |
|---|---|
| Job Title | Data Analyst |
| Employment Type | Full-time |
| Location | Noida, Uttar Pradesh, India |
| Job ID | 759886 |
| Posting Date | December 2024 |
| Travel | None |
Responsibilities for Data Analyst at Ericsson
- Define and deliver standard and new analyses.
- Develop and implement automation scripts for efficiency.
- Document business requirements and analytics implementations.
- Assess the effort required to execute specific analyses.
- Translate business requirements into actionable analytics.
- Reuse existing templates as per the requestor’s needs.
- Maintain and upgrade existing data measures and analyses.
- Debug and improve existing automation scripts.
- Uphold operational recurring deliverables and ensure data quality.
- Carry out data audits and maintain relevant documentation.
- Develop and maintain visually appealing data visualizations.
- Present complex data in an understandable format, identifying trends and patterns.
Skills Required for Data Analyst at Ericsson
- Proficiency in Data Lakes and Ericsson Operations Engine.
- Expertise in Visual Analytics, Data Visualization, and Tableau.
- Experience with MS TOP and Digital Dashboards.
- Knowledge of Visual Modeling and Data Presentation.
- Familiarity with Business Requirements and Scripting.
Preferred Skills for Data Analyst at Ericsson
- Experience with Tableau, SQL, and Power BI.
- Proficiency in Microsoft Office 365 and Microsoft Excel.
- Knowledge of Finance and Electronics for better understanding of operational data.
Why Join Ericsson as a Data Analyst?
At Ericsson, you’ll have the opportunity to work with a globally recognized leader in telecommunications while contributing to meaningful data-driven decisions. You’ll also gain hands-on experience with the latest data analytics tools, automation, and visualization techniques.
FAQs About Data Analyst at Ericsson
- What is the location of the job?
The job is based in Noida, Uttar Pradesh, India. - What technologies will I work with?
You will work with Data Lakes, Tableau, SQL, Power BI, and MS TOP, among other tools.
How Your Profile and Resume Fit the Data Analyst Role at Ericsson
Tailor your resume by highlighting:
- Data analytics skills such as proficiency in Tableau, Power BI, and SQL.
- Demonstrate experience with automation scripting and creating data visualizations.
- Highlight any familiarity with Ericsson Operations Engine and Data Lakes.
Are You a Good Fit for the Data Analyst Role at Ericsson?
You are a good fit if you:
- Have experience in data analysis, automation scripting, and data visualization.
- Are proficient in tools like Tableau, Power BI, and SQL.
- Have a strong foundation in business requirements and can translate them into actionable data insights.
How Can You Best Position Yourself for the Data Analyst Role at Ericsson?
- Showcase your experience with data visualization tools like Tableau and Power BI.
- Highlight your skills in data automation scripting and your ability to audit and maintain data.
- Demonstrate a clear understanding of business requirements and how they can be converted into actionable insights.
To prepare for the Data Analyst role at Ericsson in Noida, Uttar Pradesh, here’s a detailed breakdown of how to align your skills and experience with the job description:
1. Understand the Role and Responsibilities
- Data Analysis: Your main responsibility will be to define, create, automate, and maintain operational and statistical data. The role involves delivering analyses and creating actionable insights.
- Automation Scripts: Developing and implementing automation scripts to streamline processes.
- Documentation and Business Requirements: You’ll be responsible for documenting business requirements, ensuring all analytics implementations are aligned with the business needs.
- Data Visualization: Creating visually compelling and easy-to-understand data visualizations will be a key part of your role. You will need to make complex data accessible and highlight trends and insights.
2. Required Technical Skills
- Data Lakes: Understanding of data lakes (storing large amounts of unstructured data). If you have worked with tools like Hadoop, Amazon S3, or Azure Data Lake, it would be beneficial to mention them.
- Data Visualization Tools: You should be proficient in tools like Tableau, Power BI, and MS Excel. Be prepared to demonstrate your ability to create compelling dashboards and visualizations that help identify patterns, trends, and correlations in the data.
- Scripting: The role involves automating tasks, so basic scripting knowledge in languages like Python, SQL, or R will be useful. Be ready to discuss any automation scripts you have written in the past.
- Business Requirements: Ability to translate business requirements into actionable data insights. Be prepared to discuss how you’ve previously worked with business teams to gather requirements and deliver insights.
3. Skills to Focus On
- SQL: For data querying, manipulation, and reporting.
- Tableau/Power BI: Be familiar with data visualization principles, dashboards, and how to present data effectively.
- Excel: Advanced Excel skills for analysis, including using pivot tables, VLOOKUP, and creating dynamic reports.
- Data Analysis and Reporting: Ability to analyze large datasets, identify trends, and create reports that are both insightful and easily understandable.
- Automation: Familiarity with basic automation scripts to process data or trigger reporting tasks.
- Data Presentation: Skills in presenting data in a clear, accessible way, often to non-technical stakeholders.
4. Prepare for the Interview
- Technical Interview Preparation:
- Practice SQL queries to extract, join, and manipulate data from multiple sources.
- Familiarize yourself with data visualization best practices in Tableau or Power BI, and be prepared to explain how you’ve used these tools to create dashboards and reports.
- Brush up on basic scripting (e.g., Python or SQL) to automate repetitive data tasks or improve reporting processes.
- Behavioral Questions:
- Describe a time when you had to work with large datasets. How did you handle it, and what was the outcome?
- How do you prioritize and manage multiple data requests with competing deadlines?
- Explain a situation where you identified a trend or insight from the data that impacted a business decision.
- Presenting Complex Data: Prepare examples where you had to present complex data findings to stakeholders. How did you simplify the data to make it understandable?
5. Focus on Soft Skills
- Attention to Detail: Data analysis requires a high level of attention to detail. Be ready to share examples where you have identified errors or inconsistencies in data and how you resolved them.
- Problem-solving: Demonstrate your ability to troubleshoot data issues and propose solutions.
- Communication: Since you will need to present data findings, practice explaining complex data concepts in simple terms for non-technical audiences.
6. Prepare a Case Study or Project
- If you have any relevant projects or internships, prepare to discuss them in detail. If not, consider working on a project where you analyze a dataset and create visualizations.
- Use tools like Kaggle for datasets or practice visualizations in Tableau or Power BI. This will give you concrete examples to discuss during the interview.
7. Match Your Skills to the Job
Based on the skills listed in the job description, you should focus on the following areas:
- Tableau/Power BI for visualization.
- SQL for querying and analyzing data.
- Automation Scripting for improving processes.
- Data Audits and Documentation to ensure accuracy and transparency in your work.
8. Additional Resources for Practice
- Tableau: Explore free resources or online tutorials for creating data dashboards.
- SQL: Use platforms like LeetCode or HackerRank to practice SQL queries.
- Python: Brush up on scripting using Python for data automation tasks.
- Business Intelligence: Learn about the best practices in creating business intelligence reports and visualizations.
By focusing on these areas and practicing accordingly, you’ll be well-prepared for your Data Analyst interview at Ericsson in Noida.
