Join Dataiku as a Data Analytics Specialist with a competitive salary of $5,500 – $6,500 annually. Work from home in a full-time international position. Apply now and kickstart your data career! Application deadline: 16 Nov 2024.
Internship & Job Updates
You can checkout the latest Internship & Job Updates for new opportunities and career growth.
- To get early access to updates about similar opportunities, join MyUpdates24 on WhatsApp.
Data Analytics Specialist | Dataiku | Work from Home
Dataiku is looking for a talented Data Analytics Specialist to join their team. If you are skilled in Data Science, Data Analytics, MS Excel, Python, SQL, Tableau, and Power BI, this role provides the opportunity to contribute to data-driven decision-making within the organization.
Table of Highlights
Job Title | Data Analytics Specialist |
---|---|
Company | Dataiku |
Start Date | Immediately |
CTC (Annual) | $5,500 – $6,500 |
Experience Required | 0-5 years |
Application Deadline | 16 Nov 2024 |
Location | Work from Home |
Job Type | Full-time (International) |
Number of Openings | 3 |
About Dataiku (Boston, United States)
Dataiku, headquartered in Boston, United States, is a platform that connects people, technologies, and processes to pave the way for enterprise AI. Their cutting-edge solutions enable organizations to unlock the potential of data analytics to transform business operations.
Job Responsibilities
As a Data Analytics Specialist at Dataiku, you will leverage your expertise to provide critical insights and drive business decisions. Key responsibilities include:
- Data Analysis: Conduct in-depth analysis to identify trends, patterns, and actionable insights to support business decisions.
- Data Modeling: Develop and implement data models and algorithms to optimize various business processes.
- Cross-functional Collaboration: Work with different teams to gather requirements and deliver data-driven solutions.
- Database Management: Build and maintain databases to ensure data accuracy and consistency.
- Data Visualization: Create visualizations and dashboards using tools like Tableau and Power BI to present insights effectively.
- Data Extraction and Manipulation: Use Python and SQL to extract, manipulate, and analyze data.
- Continuous Improvement: Stay updated on industry trends and best practices in data analytics to improve processes and outcomes.
Required Skills For Data Analytics Specialist Job
- Data Analytics
- Data Science
- MS Excel
- Python
- SQL
- Tableau
- Power BI
Q&A Section : Data Analytics Specialist Job
1. What is the salary range for this position?
The annual salary for the Data Analytics Specialist ranges from $5,500 to $6,500.
2. Is this role available for freshers?
Yes, candidates with 0-5 years of experience are eligible to apply.
3. How many job openings are available?
There are 3 job openings for this role.
4. What are the work hours?
You will need to work from 7:30 pm to 3:30 am IST to align with Dataiku’s local work hours in the Eastern Standard Time zone (9:00 am – 5:00 pm EST).
5. What skills are required for this role?
Proficiency in Data Analytics, Data Science, MS Excel, Python, SQL, Tableau, and Power BI is essential.
6. What are the main responsibilities of this role?
You will be responsible for data analysis, building data models, collaborating with teams, database management, and creating data visualizations.
7. Does the company offer any perks?
Yes, health insurance, life insurance, and a 5-day work week are part of the perks offered for this role.
8. Can I work remotely?
Yes, this is a work-from-home position.
9. What is the primary focus of Dataiku?
Dataiku focuses on enabling companies to utilize AI and data analytics to transform their business operations.
10. How do I apply?
You can apply by following the provided application instructions before 16th November 2024.
Tips & Tricks to Crack the Interview : Data Analytics Specialist Job
1. How can I showcase my expertise in Data Analytics?
Discuss specific projects where you’ve utilized Python, SQL, Tableau, or Power BI to analyze data and create actionable insights.
2. What should I emphasize about my proficiency in Python and SQL?
Highlight your experience in data extraction, manipulation, and building data models using these programming languages.
3. How should I approach discussing data visualization?
Mention any experience where you used Tableau or Power BI to create dashboards and communicate complex insights in an easily understandable format.
4. How can I demonstrate my data-driven mindset?
Provide examples of how your data analysis led to improvements in business operations or decision-making.
5. What should I mention about database management?
Discuss how you’ve maintained databases and ensured data integrity to support business analytics.
6. How can I showcase my problem-solving skills?
Mention specific challenges you faced while working with data and how you approached solving them using analytical methods.
7. How do I emphasize my experience in cross-functional collaboration?
Share examples of how you worked with different teams to understand their data needs and delivered solutions that drove results.
8. How do I highlight my proficiency in MS Excel?
Talk about how you’ve used MS Excel for data analysis, creating reports, or building dashboards.
9. How should I discuss my understanding of data analytics trends?
Mention any recent developments or tools in data analytics that you’ve incorporated into your work to stay ahead of the curve.
10. What sets me apart from other candidates?
Focus on your technical skills, attention to detail, and ability to turn complex data into actionable insights that help drive business decisions.
How to Apply
Click Here To Apply for the Data Analytics Specialist position at Dataiku and be part of an innovative team that leverages data to drive meaningful impact.
“This job post is detailed and well-structured, giving candidates a clear understanding of the role. Adding insights into career development, tools used, and team collaboration would further enhance the post. Additionally, mentioning work-life balance initiatives and interview stages would help attract top talent.”