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Data Analyst IRC245637
| Job | IRC245637 |
| Location | India - Hyderabad |
| Designation | Associate Consultant |
| Experience | 5-10 years |
| Function | Engineering |
| Skills | Data analysis skills |
| Work Model: | Hybrid |
Description
emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
Requirements
- A Candidate must have 5+ Years of Experiences
- Bachelor’’s degree with an emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
- 4 years of relevant experience in an analytical role and have worked on data analysis and visualization.
- Thrives in unstructured work environments with rapidly changing requirements
- Experience with articulating product questions, pulling data from datasets (SQL) and using statistics to perform rigorous analysis.
- Comfortable in working with google docs and google sheets and having ability to present the data analysis outcomes in a way that can make sense to business stakeholders.
Preferred Qualifications:
- Deep interest and aptitude in data, metrics and analysis to answer challenging questions.
- Experience working directly with customers and preparing reporting dashboards.
- Insights on Machine Learning model and the training data sets and interest in Python, Google analytics, Data Studio or the visualization tools.
Job Responsibilities Responsibilities:
- Perform large-scale data analysis to answer customer questions and help drive product development insights.
- Develop a deep understanding of how our system behaves in the real world and how that manifests in the data we collect.
- Learn the data extraction tool to pull data from and then analyze the data to identify gaps and suggest patterns or logic that can be used to improve the machine learning model.
- Develop and deliver clear presentations to convey analysis and experimental results.
Preferences
Data Anaylsis-
emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
Job Responsibilities
- A Candidate must have 3+ Years of Experiences
- Bachelor’’s degree with an emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
- 4 years of relevant experience in an analytical role and have worked on data analysis and visualization.
- Thrives in unstructured work environments with rapidly changing requirements
- Experience with articulating product questions, pulling data from datasets (SQL) and using statistics to perform rigorous analysis.
- Comfortable in working with google docs and google sheets and having ability to present the data analysis outcomes in a way that can make sense to business stakeholders.
Preferred Qualifications:
- Deep interest and aptitude in data, metrics and analysis to answer challenging questions.
- Experience working directly with customers and preparing reporting dashboards.
- Insights on Machine Learning model and the training data sets and interest in Python, Google analytics, Data Studio or the visualization tools.
Job Responsibilities Responsibilities:
- Perform large-scale data analysis to answer customer questions and help drive product development insights.
- Develop a deep understanding of how our system behaves in the real world and how that manifests in the data we collect.
- Learn the data extraction tool to pull data from and then analyze the data to identify gaps and suggest patterns or logic that can be used to improve the machine learning model.
- Develop and deliver clear presentations to convey analysis and experimental results.
We Offer
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!