Data Analyst
Workskills · Bangalore Urban, Karnataka, India
- Hybrid
- Internship
- $60,000 / year
- Bangalore Urban, Karnataka, India
Job highlights
- Analyze complex data sets to solve business problems.
- Monitor, forecast, and review key business metrics.
- Design and measure experiments to test hypotheses.
- Develop insights and compelling business stories.
- Fully remote with flexible hours and learning opportunities.
About the role
About Us
Workskills is an early-stage startup founded by IIT Kharagpur alumni backed by some of the most renowned names in the startup ecosystem. We are looking for individuals with high ownership and the ability to work in a fast-paced environment. You will become part of a team that has a direct impact on business decisions and help us uncover avenues and insights about our users.
Key Responsibilities
- Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed
- Monitor and forecast key business metrics regularly
- Conduct regular planning and reviews key performance metrics and aid in benefitting from the change
- Identify the right metrics to track progress against a given business goal
- Design, run and measure experiments to test business hypotheses
- Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
- Develop compelling stories with business insights, focusing on the strategic goals of the organization
Basic Qualifications
- Highly proficient in Microsoft Office and Windows-based applications.
- SQL Knowledge and Hands-on experience are a must.
- Demonstrated Analytical ability, results-oriented environment with external customer interaction.
- Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.
Technical capabilities:
- Proficient in SQL, Excel, other scripting languages (R, Python, etc.)
- Strong background in statistical modelling and experience with statistical tools such as R, Python, Spark, SAS, or SPSS.
- High expertise in building machine learning models.
Benefits & Perks
- Competitive Stipend (Industry Best)
- LOR & Certificate of Internship
- High growth & learning opportunity
- Flexible working hours (Fully Remote)
Key skills/competency
- Data Analysis
- SQL
- Python
- R
- Excel
- Statistical Modeling
- Machine Learning
- Data Visualization
- Problem Solving
- Experimentation
Skills & topics
- Data Analyst
- SQL
- Python
- R
- Excel
- Statistical Modeling
- Machine Learning
- Data Science
- Business Intelligence
- Analytics
How to get hired
- Tailor your resume: Highlight your SQL, R, Python, and machine learning skills. Quantify achievements in data analysis and metric tracking.
- Showcase analytical skills: Emphasize experience with statistical modeling, experiment design, and insight generation.
- Prepare for technical interviews: Practice SQL queries, coding challenges in Python/R, and statistical modeling scenarios.
- Demonstrate business acumen: Be ready to discuss how data insights drive business decisions and strategic goals.
- Highlight remote work experience: Showcase your ability to work independently and communicate effectively in a remote setting.
Technical preparation
Master SQL for complex queries and data manipulation.,Practice Python/R for data analysis and scripting.,Review statistical modeling and machine learning concepts.,Prepare for data interpretation and hypothesis testing.
Behavioral questions
Describe a time you solved a complex business problem.,How do you prioritize metrics for a business goal?,Explain how you communicate data insights effectively.,How do you handle ambiguity in a fast-paced startup?
Frequently asked questions
- What is the application process for a Data Analyst role at Workskills?
- The application process for a Data Analyst at Workskills typically involves submitting your resume, followed by technical assessments and interviews. Given it's an early-stage startup, they often look for candidates with strong analytical skills and a proactive approach. Be sure to highlight your proficiency in SQL, Python/R, and your experience with statistical modeling. Preparing for case studies on data interpretation and problem-solving will be beneficial.
- What technical skills are most important for the Data Analyst position at Workskills?
- For the Data Analyst role at Workskills, strong proficiency in SQL is a must. Additionally, experience with scripting languages like Python or R, statistical modeling, and building machine learning models is highly valued. Demonstrating your ability to work with large datasets and utilize statistical tools effectively will be key to your success in this position.
- Is this Data Analyst position remote or on-site at Workskills?
- This Data Analyst position at Workskills is fully remote, offering flexible working hours. This means you can work from any location, providing a great opportunity for work-life balance and global talent accessibility. Ensure your application highlights your experience and comfort with remote collaboration and self-management.
- What kind of growth opportunities can I expect as a Data Analyst at Workskills?
- Workskills, being an early-stage startup founded by IIT Kharagpur alumni, offers significant growth and learning opportunities. As a Data Analyst, you'll have a direct impact on business decisions, work with complex data, and potentially help shape the company's analytical direction. The fast-paced environment and backing from renowned investors suggest a high potential for career advancement and skill development.
- How does Workskills assess analytical ability for Data Analyst candidates?
- Workskills assesses analytical ability through a combination of technical skills and practical application. Expect questions that test your SQL proficiency, your understanding of statistical modeling, and your ability to interpret complex data. They look for candidates who can identify key metrics, design experiments, and generate insights to drive business decisions, often in a results-oriented environment.