Senior Data Analyst – Business Intelligence, Analytics & Machine Learning
Join arenaflex as a Senior Data Analyst
Are you ready to transform raw data into actionable business insights? At arenaflex, we're looking for a talented and motivated Senior Data Analyst to join our growing Analytics & Insights team. This is an exciting opportunity for professionals who are passionate about data-driven decision-making and want to make a meaningful impact within a globally recognized organization.
In this role, you'll leverage your expertise in data analysis, statistical modeling, and visualization to solve complex business challenges. You'll work across multiple functional areas, collaborating with stakeholders to deliver data-driven solutions that directly impact arenaflex's strategic objectives. If you're looking for a role where you can grow your technical skills, work with cutting-edge technologies, and contribute to meaningful business outcomes, this is the perfect opportunity for you.
What You'll Do
As a Senior Data Analyst at arenaflex, you'll be responsible for extracting, analyzing, and interpreting large datasets to provide strategic recommendations. Your work will involve collaborating with cross-functional teams to understand business requirements and deliver solutions that drive operational efficiency and revenue growth.
Data Source Identification & Quality Assessment
Identify and evaluate appropriate data sources across various databases and distributed data stores (including SQL and NoSQL platforms)
Understand functional business areas and scenarios to determine where specific data is held and how it can be leveraged
Document business data requirements and work to align data sources with business objectives
Perform preliminary data quality assessments on extracted data to ensure accuracy and reliability
Assist in understanding the priority order of requirements and service level agreements
Help identify the most suitable source for data that is fit for purpose
Code Development & Testing
Write and develop code to create analytical solutions and application functions using recommended programming languages such as SQL, Java, C++, Python, and others
Leverage business, technical, and data requirements to develop robust analytical solutions
Apply appropriate testing techniques including static analysis, dynamic testing, software composition analysis, and manual penetration testing
Review and validate code using recommended testing methodologies to ensure quality and accuracy
Implement best practices in code development and documentation
Model Evaluation & Validation
Conduct model format testing, tuning, and validation using techniques such as Chi-square, ROC curve, root mean square error, and other statistical methods
Understand the impact of variables and features on model performance
Identify appropriate model evaluation metrics for various business scenarios
Apply best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles
Ensure analytical models meet business standards and deliver reliable outputs
Information Visualization & Communication
Generate appropriate graphical representations of data and model results using visualization tools such as Python libraries, R, GGplot, Matplotlib, Plotly, Tableau, and PowerBI
Understand customer requirements to design appropriate data representation for multiple data sets
Work with user experience designers and UI engineers to build front-end applications
Present to and influence the team and business audience using appropriate data visualization frameworks
Convey clear messages through business and stakeholder understanding
Personalize communication style based on stakeholder needs and leverage rational arguments
Guide and mentor junior associates on story types, structures, and strategies
Business Context & Strategy
Provide recommendations to business stakeholders to solve complex business problems
Develop business cases for projects with projected return on investment or cost savings
Translate business requirements into projects, activities, and tasks that align with overall business strategy
Function as an interpreter and conduit to connect business needs with tangible solutions and results
Identify and recommend relevant business insights relating to your area of work
Develop domain-specific artifacts and documentation
Technical Problem Formulation
Translate and co-own business problems within your field to data-related or mathematical solutions
Identify appropriate techniques and tools to be leveraged to provide solutions
Apply analytics, big data analytics, and automation techniques to solve business challenges
Share use cases and provide examples to demonstrate how approaches would solve business problems
Prioritize use cases based on business impact and feasibility
Analytical Modeling
Select analytical modeling methods most suitable for complex data and develop custom analytical models
Conduct exploratory data analysis activities including basic statistical analysis, hypothesis testing, and statistical inferences
Define and finalize features based on model responses and introduce new or revised features to enhance analysis
Identify the size of tests, finalize designs, test hypotheses, and conduct experiments
Perform trend and cluster analysis to answer practical business problems
Provide recommendations and key insights to the business
Mentor and guide junior team members on basic modeling and analytics techniques
Required Skills & Competencies
Technical Expertise: Strong knowledge of programming languages including SQL, Python, R, Java, or C++
Statistical Analysis: Proficiency in advanced statistical techniques and multivariate calculus
Machine Learning: Understanding of machine learning models including graphical models, Bayesian inference, neural networks, SVM, Random Forest, and NLP
Data Visualization: Experience with visualization tools such as Tableau, PowerBI, Python libraries, or R
Database Technology: Knowledge of SQL, NoSQL, and distributed data stores
Optimization Techniques: Familiarity with classical and numerical optimization methods including Linear Programming, Integer Programming, and Quadratic Programming
Business Acumen: Understanding of business metrics, practices across domains (product, finance, marketing, sales, technology), and ability to translate business requirements into technical solutions
Communication Skills: Excellent verbal and written communication with the ability to present complex findings to non-technical stakeholders
Problem-Solving: Strong analytical and critical thinking skills to address complex business challenges
Collaboration: Ability to work effectively with cross-functional teams and build relationships with key stakeholders
Minimum Qualifications
Option 1: Bachelor's degree in Data Science, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field AND 3 years of experience in an analytics-related field
Option 2: Master's degree in Data Science, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field AND 1 year of experience in an analytics-related field
Option 3: 5 years of experience in an analytics or related field
Preferred Qualifications
Advanced degree in Data Science, Machine Learning, Computer Science, or Information Technology
Experience with optimization models and operations research
Strong background in applied mathematics, econometrics, or statistics
Completion of one or more certifications in Python, Spark, Scala, or R
Experience with open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
Demonstrated experience with big data technologies and distributed computing
Knowledge of cloud platforms and data engineering practices
Career Growth & Learning Opportunities
At arenaflex, we believe in investing in our employees' growth and development. As a Senior Data Analyst, you'll have access to numerous opportunities for professional advancement:
Career Path Development: Clear progression pathways to lead analyst, senior manager, or director-level positions depending on your expertise and interests
Continuous Learning: Access to comprehensive training programs, workshops, and certification support to enhance your technical and leadership skills
Mentorship Programs: Opportunities to mentor junior associates while receiving guidance from senior leaders
Cross-Functional Exposure: Experience working across multiple business domains including finance, marketing, supply chain, and operations
Innovation Labs: Participation in special projects and innovation initiatives that allow you to explore new technologies and methodologies
Industry Conferences: Sponsorship to attend relevant industry conferences, seminars, and networking events
Work Environment & Culture
arenaflex is committed to fostering an inclusive, collaborative, and innovative work environment where every team member can thrive. Our culture is built on values that promote diversity, equity, and inclusion while encouraging creative problem-solving and continuous improvement.
You'll join a team of talented professionals who are passionate about data and its power to transform businesses. We value open communication, mutual respect, and a commitment to excellence. Our hybrid work model offers flexibility, allowing you to balance in-office collaboration with remote work.
Our Core Values
Strategic Thinking: We adopt holistic perspectives, considering data, analytics, customer insights, and business needs when planning and shaping our approach
Diversity, Equity & Inclusion: We embrace diversity in all its forms and actively support diverse ideas and perspectives
Collaboration & Influence: We build strong relationships, work collaboratively across functions, and communicate with positivity to inspire commitment and action
Integrity & Compliance: We model compliance with organizational policies and procedures, supporting our mission, values, and standards of ethics
Customer Focus: We consistently put the customer first and apply an omni-service provider mindset to all our efforts
Compensation & Benefits
At arenaflex, we offer competitive compensation packages that recognize your skills, experience, and contributions. Our comprehensive benefits program is designed to support your overall well-being—mind, body, and wallet.
Financial Benefits
Competitive base pay with annual performance-based incentive awards
401(k) retirement plan with company matching
Stock equity incentives for eligible positions
Company-paid life insurance
Health & Wellness Benefits
Comprehensive medical, vision, and dental coverage
Mental health support and counseling services
Wellness programs and resources
Short-term and long-term disability coverage
Paid Time Off & Leave
PTO (paid time off) including sick leave
Parental leave for new parents
Family care leave
Bereavement leave
Jury duty and voting leave
Military leave pay
Additional Perks
Adoption and surrogacy cost compensation
Company discounts on products and services
Regional pay zones based on location
Access to the Live Better U education benefit program
Live Better U is a arenaflex-paid training benefit program offering opportunities for high school completion through bachelor's degrees, including English Language Learning and short-form certificates. Training, books, and fees are fully paid for by arenaflex.
Ready to Make an Impact?
If you're ready to take your analytics career to the next level, aren't afraid of complex challenges, and want to work with a team that values innovation and excellence, we invite you to apply for this exciting opportunity at arenaflex.
Join us and be part of a team that's transforming how businesses use data to make smarter decisions. At arenaflex, your contributions will matter, your growth will be supported, and your career will flourish.
We encourage you to apply today and discover why arenaflex is a great place to build your career in data analytics and business intelligence.
Are you ready to transform raw data into actionable business insights? At arenaflex, we're looking for a talented and motivated Senior Data Analyst to join our growing Analytics & Insights team. This is an exciting opportunity for professionals who are passionate about data-driven decision-making and want to make a meaningful impact within a globally recognized organization.
In this role, you'll leverage your expertise in data analysis, statistical modeling, and visualization to solve complex business challenges. You'll work across multiple functional areas, collaborating with stakeholders to deliver data-driven solutions that directly impact arenaflex's strategic objectives. If you're looking for a role where you can grow your technical skills, work with cutting-edge technologies, and contribute to meaningful business outcomes, this is the perfect opportunity for you.
What You'll Do
As a Senior Data Analyst at arenaflex, you'll be responsible for extracting, analyzing, and interpreting large datasets to provide strategic recommendations. Your work will involve collaborating with cross-functional teams to understand business requirements and deliver solutions that drive operational efficiency and revenue growth.
Data Source Identification & Quality Assessment
Identify and evaluate appropriate data sources across various databases and distributed data stores (including SQL and NoSQL platforms)
Understand functional business areas and scenarios to determine where specific data is held and how it can be leveraged
Document business data requirements and work to align data sources with business objectives
Perform preliminary data quality assessments on extracted data to ensure accuracy and reliability
Assist in understanding the priority order of requirements and service level agreements
Help identify the most suitable source for data that is fit for purpose
Code Development & Testing
Write and develop code to create analytical solutions and application functions using recommended programming languages such as SQL, Java, C++, Python, and others
Leverage business, technical, and data requirements to develop robust analytical solutions
Apply appropriate testing techniques including static analysis, dynamic testing, software composition analysis, and manual penetration testing
Review and validate code using recommended testing methodologies to ensure quality and accuracy
Implement best practices in code development and documentation
Model Evaluation & Validation
Conduct model format testing, tuning, and validation using techniques such as Chi-square, ROC curve, root mean square error, and other statistical methods
Understand the impact of variables and features on model performance
Identify appropriate model evaluation metrics for various business scenarios
Apply best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles
Ensure analytical models meet business standards and deliver reliable outputs
Information Visualization & Communication
Generate appropriate graphical representations of data and model results using visualization tools such as Python libraries, R, GGplot, Matplotlib, Plotly, Tableau, and PowerBI
Understand customer requirements to design appropriate data representation for multiple data sets
Work with user experience designers and UI engineers to build front-end applications
Present to and influence the team and business audience using appropriate data visualization frameworks
Convey clear messages through business and stakeholder understanding
Personalize communication style based on stakeholder needs and leverage rational arguments
Guide and mentor junior associates on story types, structures, and strategies
Business Context & Strategy
Provide recommendations to business stakeholders to solve complex business problems
Develop business cases for projects with projected return on investment or cost savings
Translate business requirements into projects, activities, and tasks that align with overall business strategy
Function as an interpreter and conduit to connect business needs with tangible solutions and results
Identify and recommend relevant business insights relating to your area of work
Develop domain-specific artifacts and documentation
Technical Problem Formulation
Translate and co-own business problems within your field to data-related or mathematical solutions
Identify appropriate techniques and tools to be leveraged to provide solutions
Apply analytics, big data analytics, and automation techniques to solve business challenges
Share use cases and provide examples to demonstrate how approaches would solve business problems
Prioritize use cases based on business impact and feasibility
Analytical Modeling
Select analytical modeling methods most suitable for complex data and develop custom analytical models
Conduct exploratory data analysis activities including basic statistical analysis, hypothesis testing, and statistical inferences
Define and finalize features based on model responses and introduce new or revised features to enhance analysis
Identify the size of tests, finalize designs, test hypotheses, and conduct experiments
Perform trend and cluster analysis to answer practical business problems
Provide recommendations and key insights to the business
Mentor and guide junior team members on basic modeling and analytics techniques
Required Skills & Competencies
Technical Expertise: Strong knowledge of programming languages including SQL, Python, R, Java, or C++
Statistical Analysis: Proficiency in advanced statistical techniques and multivariate calculus
Machine Learning: Understanding of machine learning models including graphical models, Bayesian inference, neural networks, SVM, Random Forest, and NLP
Data Visualization: Experience with visualization tools such as Tableau, PowerBI, Python libraries, or R
Database Technology: Knowledge of SQL, NoSQL, and distributed data stores
Optimization Techniques: Familiarity with classical and numerical optimization methods including Linear Programming, Integer Programming, and Quadratic Programming
Business Acumen: Understanding of business metrics, practices across domains (product, finance, marketing, sales, technology), and ability to translate business requirements into technical solutions
Communication Skills: Excellent verbal and written communication with the ability to present complex findings to non-technical stakeholders
Problem-Solving: Strong analytical and critical thinking skills to address complex business challenges
Collaboration: Ability to work effectively with cross-functional teams and build relationships with key stakeholders
Minimum Qualifications
Option 1: Bachelor's degree in Data Science, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field AND 3 years of experience in an analytics-related field
Option 2: Master's degree in Data Science, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field AND 1 year of experience in an analytics-related field
Option 3: 5 years of experience in an analytics or related field
Preferred Qualifications
Advanced degree in Data Science, Machine Learning, Computer Science, or Information Technology
Experience with optimization models and operations research
Strong background in applied mathematics, econometrics, or statistics
Completion of one or more certifications in Python, Spark, Scala, or R
Experience with open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
Demonstrated experience with big data technologies and distributed computing
Knowledge of cloud platforms and data engineering practices
Career Growth & Learning Opportunities
At arenaflex, we believe in investing in our employees' growth and development. As a Senior Data Analyst, you'll have access to numerous opportunities for professional advancement:
Career Path Development: Clear progression pathways to lead analyst, senior manager, or director-level positions depending on your expertise and interests
Continuous Learning: Access to comprehensive training programs, workshops, and certification support to enhance your technical and leadership skills
Mentorship Programs: Opportunities to mentor junior associates while receiving guidance from senior leaders
Cross-Functional Exposure: Experience working across multiple business domains including finance, marketing, supply chain, and operations
Innovation Labs: Participation in special projects and innovation initiatives that allow you to explore new technologies and methodologies
Industry Conferences: Sponsorship to attend relevant industry conferences, seminars, and networking events
Work Environment & Culture
arenaflex is committed to fostering an inclusive, collaborative, and innovative work environment where every team member can thrive. Our culture is built on values that promote diversity, equity, and inclusion while encouraging creative problem-solving and continuous improvement.
You'll join a team of talented professionals who are passionate about data and its power to transform businesses. We value open communication, mutual respect, and a commitment to excellence. Our hybrid work model offers flexibility, allowing you to balance in-office collaboration with remote work.
Our Core Values
Strategic Thinking: We adopt holistic perspectives, considering data, analytics, customer insights, and business needs when planning and shaping our approach
Diversity, Equity & Inclusion: We embrace diversity in all its forms and actively support diverse ideas and perspectives
Collaboration & Influence: We build strong relationships, work collaboratively across functions, and communicate with positivity to inspire commitment and action
Integrity & Compliance: We model compliance with organizational policies and procedures, supporting our mission, values, and standards of ethics
Customer Focus: We consistently put the customer first and apply an omni-service provider mindset to all our efforts
Compensation & Benefits
At arenaflex, we offer competitive compensation packages that recognize your skills, experience, and contributions. Our comprehensive benefits program is designed to support your overall well-being—mind, body, and wallet.
Financial Benefits
Competitive base pay with annual performance-based incentive awards
401(k) retirement plan with company matching
Stock equity incentives for eligible positions
Company-paid life insurance
Health & Wellness Benefits
Comprehensive medical, vision, and dental coverage
Mental health support and counseling services
Wellness programs and resources
Short-term and long-term disability coverage
Paid Time Off & Leave
PTO (paid time off) including sick leave
Parental leave for new parents
Family care leave
Bereavement leave
Jury duty and voting leave
Military leave pay
Additional Perks
Adoption and surrogacy cost compensation
Company discounts on products and services
Regional pay zones based on location
Access to the Live Better U education benefit program
Live Better U is a arenaflex-paid training benefit program offering opportunities for high school completion through bachelor's degrees, including English Language Learning and short-form certificates. Training, books, and fees are fully paid for by arenaflex.
Ready to Make an Impact?
If you're ready to take your analytics career to the next level, aren't afraid of complex challenges, and want to work with a team that values innovation and excellence, we invite you to apply for this exciting opportunity at arenaflex.
Join us and be part of a team that's transforming how businesses use data to make smarter decisions. At arenaflex, your contributions will matter, your growth will be supported, and your career will flourish.
We encourage you to apply today and discover why arenaflex is a great place to build your career in data analytics and business intelligence.