**Experienced Full Stack Data Analyst – Business Intelligence and Data Science**
At arenaflex, we're on a mission to revolutionize the way we fly, and we're looking for talented individuals to join our team. As a full stack data analyst, you'll play a critical role in helping us make data-driven decisions that drive business growth and improve customer experiences. If you're passionate about data analysis, business intelligence, and data science, we want to hear from you.
**About arenaflex**
arenaflex is a world-leading airline that's committed to innovation, sustainability, and customer satisfaction. Our team is diverse, dynamic, and passionate about making a difference in the world. We're proud to be an equal opportunity employer, and we welcome applications from talented individuals from all backgrounds.
**Our Culture**
At arenaflex, we believe that diversity and inclusion are key to our success. We're committed to creating a workplace that's inclusive, respectful, and supportive of all employees. Our culture is built on the principles of collaboration, innovation, and customer-centricity. We're passionate about making a positive impact on the world, and we're looking for like-minded individuals to join our team.
**Job Summary**
We're seeking an experienced full stack data analyst to join our business intelligence and data science team. As a data analyst, you'll be responsible for collecting, analyzing, and interpreting large datasets to inform business decisions. You'll work closely with our data science team to develop predictive models, identify trends, and optimize business processes. If you're a detail-oriented, analytical thinker with a passion for data analysis, we want to hear from you.
**Key Responsibilities**
* Execute solutions for business problems using data analysis, data mining, data visualization, statistical modeling, and AI techniques
* Continuously develop and showcase improved analysis strategies
* Possess expertise and be comfortable with owning data and working from idea through to execution
* Identify a business issue and the available data and determine what analysis and modeling procedures can be applied to answer a business question
* This position is subject to local conditions and requirements. Expat assignments and sponsorship for business visas, even on a time-limited visa status, will not be granted. This position is for arenaflex Business Services Pvt. Ltd - a fully owned subsidiary of arenaflex Inc.
* arenaflex is an equal opportunity employer. arenaflex initiates, employs, trains, adjusts, and advances without regard to race, religion, color, national origin, gender character, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.
**Essential Qualifications**
* Bachelor's degree in a quantitative field such as Math, Statistics, Operations Research, or MBA
* At least 2+ years of experience in data analysis/AI
* Demonstrated comfort and academic interest in working with extremely large datasets, and experience in predictive modeling
* Strong knowledge of either R or Python
* Familiarity with controlling and analyzing complex, high-volume, high-dimensionality data from various sources to identify patterns and relationships
* Understanding of how and when to apply predictive and AI techniques like linear regression, random forests, GBM, neural networks, SVM, etc.
* Ability to use data querying tools and be able to write complex queries and techniques using Teradata SQL or potentially Microsoft TSQL
* Hands-on experience in using Big Data environments (Hadoop/Spark), API gateways, and non-structured data will be an added advantage
* Ability to communicate complex quantitative analysis and calculations in a clear, accurate, and compelling way
* Show written and spoken English proficiency
* Approximately 4 months and a half of travel to US in a year
* Should be legally authorized to work in India for any business without sponsorship
* Successful completion of interview expected to meet work capability
* Reliable, consistent attendance is a fundamental requirement of the position
* Should be conversant in English and Hindi (written and spoken)
* Successful completion of interview expected to meet work capability
* Reliable, consistent attendance is a fundamental requirement of the position
**Preferred Qualifications**
* Graduate degree in a quantitative field like Math, Statistics, Operations Research, or MBA
* Experience with data visualization tools like Tableau, Power BI, or D3.js
* Familiarity with machine learning algorithms and deep learning techniques
* Experience with cloud-based data platforms like AWS, Azure, or Google Cloud
* Strong understanding of data governance and data quality principles
* Experience with agile development methodologies and version control systems like Git
**Skills and Competencies**
* Strong analytical and problem-solving skills
* Excellent communication and interpersonal skills
* Ability to work in a fast-paced, team-oriented environment
* Strong attention to detail and ability to manage multiple projects simultaneously
* Ability to work independently and as part of a team
* Strong business acumen and understanding of business operations
* Ability to adapt to changing priorities and deadlines
* Strong technical skills in data analysis, data science, and business intelligence
* Familiarity with data visualization tools and techniques
* Experience with cloud-based data platforms and big data environments
**Career Growth Opportunities and Learning Benefits**
At arenaflex, we're committed to helping our employees grow and develop their careers. We offer a range of training and development programs, including:
* On-the-job training and mentorship
* Formal training programs in data analysis, data science, and business intelligence
* Opportunities for professional certification and licensure
* Access to industry-leading tools and technologies
* Collaborative and dynamic work environment
**Work Environment and Company Culture**
At arenaflex, we're proud of our inclusive and supportive work environment. We offer a range of benefits and perks, including:
* Flexible work arrangements and remote work options
* Comprehensive health insurance and wellness programs
* Paid time off and vacation days
* Access to on-site fitness center and wellness programs
* Recognition and reward programs for outstanding performance
* Opportunities for professional development and career growth
**Compensation, Perks, and Benefits**
We offer a competitive salary and benefits package, including:
* Salary range: $70-$80 per year
* Comprehensive health insurance and wellness programs
* Paid time off and vacation days
* Access to on-site fitness center and wellness programs
* Recognition and reward programs for outstanding performance
* Opportunities for professional development and career growth
**How to Apply**
If you're a talented and motivated individual who is passionate about data analysis, business intelligence, and data science, we want to hear from you. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!
**Equal Opportunity Employer**
arenaflex is an equal opportunity employer. We welcome applications from talented individuals from all backgrounds. We're committed to creating a workplace that's inclusive, respectful, and supportive of all employees.
**About arenaflex**
arenaflex is a world-leading airline that's committed to innovation, sustainability, and customer satisfaction. Our team is diverse, dynamic, and passionate about making a difference in the world. We're proud to be an equal opportunity employer, and we welcome applications from talented individuals from all backgrounds.
**Our Culture**
At arenaflex, we believe that diversity and inclusion are key to our success. We're committed to creating a workplace that's inclusive, respectful, and supportive of all employees. Our culture is built on the principles of collaboration, innovation, and customer-centricity. We're passionate about making a positive impact on the world, and we're looking for like-minded individuals to join our team.
**Job Summary**
We're seeking an experienced full stack data analyst to join our business intelligence and data science team. As a data analyst, you'll be responsible for collecting, analyzing, and interpreting large datasets to inform business decisions. You'll work closely with our data science team to develop predictive models, identify trends, and optimize business processes. If you're a detail-oriented, analytical thinker with a passion for data analysis, we want to hear from you.
**Key Responsibilities**
* Execute solutions for business problems using data analysis, data mining, data visualization, statistical modeling, and AI techniques
* Continuously develop and showcase improved analysis strategies
* Possess expertise and be comfortable with owning data and working from idea through to execution
* Identify a business issue and the available data and determine what analysis and modeling procedures can be applied to answer a business question
* This position is subject to local conditions and requirements. Expat assignments and sponsorship for business visas, even on a time-limited visa status, will not be granted. This position is for arenaflex Business Services Pvt. Ltd - a fully owned subsidiary of arenaflex Inc.
* arenaflex is an equal opportunity employer. arenaflex initiates, employs, trains, adjusts, and advances without regard to race, religion, color, national origin, gender character, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.
**Essential Qualifications**
* Bachelor's degree in a quantitative field such as Math, Statistics, Operations Research, or MBA
* At least 2+ years of experience in data analysis/AI
* Demonstrated comfort and academic interest in working with extremely large datasets, and experience in predictive modeling
* Strong knowledge of either R or Python
* Familiarity with controlling and analyzing complex, high-volume, high-dimensionality data from various sources to identify patterns and relationships
* Understanding of how and when to apply predictive and AI techniques like linear regression, random forests, GBM, neural networks, SVM, etc.
* Ability to use data querying tools and be able to write complex queries and techniques using Teradata SQL or potentially Microsoft TSQL
* Hands-on experience in using Big Data environments (Hadoop/Spark), API gateways, and non-structured data will be an added advantage
* Ability to communicate complex quantitative analysis and calculations in a clear, accurate, and compelling way
* Show written and spoken English proficiency
* Approximately 4 months and a half of travel to US in a year
* Should be legally authorized to work in India for any business without sponsorship
* Successful completion of interview expected to meet work capability
* Reliable, consistent attendance is a fundamental requirement of the position
* Should be conversant in English and Hindi (written and spoken)
* Successful completion of interview expected to meet work capability
* Reliable, consistent attendance is a fundamental requirement of the position
**Preferred Qualifications**
* Graduate degree in a quantitative field like Math, Statistics, Operations Research, or MBA
* Experience with data visualization tools like Tableau, Power BI, or D3.js
* Familiarity with machine learning algorithms and deep learning techniques
* Experience with cloud-based data platforms like AWS, Azure, or Google Cloud
* Strong understanding of data governance and data quality principles
* Experience with agile development methodologies and version control systems like Git
**Skills and Competencies**
* Strong analytical and problem-solving skills
* Excellent communication and interpersonal skills
* Ability to work in a fast-paced, team-oriented environment
* Strong attention to detail and ability to manage multiple projects simultaneously
* Ability to work independently and as part of a team
* Strong business acumen and understanding of business operations
* Ability to adapt to changing priorities and deadlines
* Strong technical skills in data analysis, data science, and business intelligence
* Familiarity with data visualization tools and techniques
* Experience with cloud-based data platforms and big data environments
**Career Growth Opportunities and Learning Benefits**
At arenaflex, we're committed to helping our employees grow and develop their careers. We offer a range of training and development programs, including:
* On-the-job training and mentorship
* Formal training programs in data analysis, data science, and business intelligence
* Opportunities for professional certification and licensure
* Access to industry-leading tools and technologies
* Collaborative and dynamic work environment
**Work Environment and Company Culture**
At arenaflex, we're proud of our inclusive and supportive work environment. We offer a range of benefits and perks, including:
* Flexible work arrangements and remote work options
* Comprehensive health insurance and wellness programs
* Paid time off and vacation days
* Access to on-site fitness center and wellness programs
* Recognition and reward programs for outstanding performance
* Opportunities for professional development and career growth
**Compensation, Perks, and Benefits**
We offer a competitive salary and benefits package, including:
* Salary range: $70-$80 per year
* Comprehensive health insurance and wellness programs
* Paid time off and vacation days
* Access to on-site fitness center and wellness programs
* Recognition and reward programs for outstanding performance
* Opportunities for professional development and career growth
**How to Apply**
If you're a talented and motivated individual who is passionate about data analysis, business intelligence, and data science, we want to hear from you. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!
**Equal Opportunity Employer**
arenaflex is an equal opportunity employer. We welcome applications from talented individuals from all backgrounds. We're committed to creating a workplace that's inclusive, respectful, and supportive of all employees.