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Experienced Full Stack Data Analyst – Cloud Infrastructure & Data Engineering

100% Remote Full-time Open now

At arenaflex, we're dedicated to fostering a dynamic work environment that encourages growth, innovation, and collaboration. Our commitment to providing a supportive and inclusive culture is reflected in our mission to deliver exceptional customer experiences. As a key member of our team, you'll have the opportunity to leverage your expertise in data analysis, cloud infrastructure, and data engineering to drive business success.

About arenaflex

arenaflex is a leading organization in the industry, renowned for its commitment to innovation, customer satisfaction, and employee development. Our team is passionate about creating a work environment that values diversity, equity, and inclusion. We believe that our employees are our greatest asset, and we strive to provide opportunities for growth, learning, and professional development.

Job Summary

We're seeking an experienced Full Stack Data Analyst to join our team. As a key member of our data engineering team, you'll be responsible for designing, developing, and implementing data pipelines, data warehouses, and data analytics solutions. You'll work closely with cross-functional teams to identify business needs, design data solutions, and implement data-driven insights. If you're passionate about data analysis, cloud infrastructure, and data engineering, and you're looking for a challenging and rewarding role, we encourage you to apply.

Responsibilities

As a Full Stack Data Analyst at arenaflex, you'll be responsible for:

  • Assembling large, complex datasets that meet non-functional and functional business requirements
  • Identifying, designing, and implementing internal process upgrades, including re-designing infrastructure for increased scalability, optimizing data delivery, and automating manual processes
  • Building required infrastructure for high-quality extraction, transformation, and loading of data from various data sources using AWS and SQL technologies
  • Building analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics, including operational performance and customer acquisition
  • Working with stakeholders, including data, design, product, and government groups, to support their data infrastructure needs while addressing data-related technical issues
  • Generating or adapting tools and technology to serve customer needs
  • May perform other process responsibilities as directed by Employee's Leaders

Knowledge, Skills, and Abilities

To be successful in this role, you'll need:

  • Knowledge of the practical application of engineering science and technology, including applying concepts, techniques, procedures, and tools for the design and manufacturing of diverse products and services
  • Knowledge of design techniques, tools, and concepts involved in the manufacturing of precision technical plans, blueprints, drawings, and models
  • Ability to apply common sense and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or processes to problems
  • Ability to understand the consequences of recent data for both current and future problem-solving and decision-making
  • Skilled in understanding complex problems and reviewing associated data to develop and evaluate alternatives and implement solutions
  • Ability to alert when something is wrong or is likely to go wrong. It does not involve fixing the problem, only spotting there may be a problem
  • Ability to combine parts of data to form general rules or conclusions (includes finding a relationship among apparently unrelated events)
  • Ability to shift back and forth between or more tasks or sources of data (including speech, sounds, touch, or other sources)
  • Ability to establish matters or movements in a positive order or sequence according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations)
  • Ability to identify or locate a recognized pattern (a figure, object, word, or sound) that is hidden in other distracting material

Education

* Bachelor's Degree in Business, Engineering, Computer Science, Information Systems, Cybersecurity, or related field; or equivalent formal training

Experience

* Required: Advanced stage experience, pro and specialized knowledge in: + Cloud infrastructure, DataLake + ETL experience ensuring supply to target data integrity + Various filetypes (Delimited Text, Fixed Width, XML, JSON, Parque) + ServiceBus, setting up ingress and egress within a subscription, or applicable AWS Cloud services administrative experience + Unit Testing, Code Quality tools, CI/CD Technologies, Security and Container Technologies + Agile development experience and Agile ceremonies and practices

Benefits

As a valued member of our team, you'll enjoy:

  • Fly for free, as a privilege, on any open seat on all Southwest flights (your eligible dependents too)
  • Up to a 9.3% 401(k) Company match, dollar for dollar, of your eligible pay, per paycheck
  • Potential for annual Profit Sharing contribution towards retirement – while arenaflex profits, you profit

How to Apply

If you're passionate about data analysis, cloud infrastructure, and data engineering, and you're looking for a challenging and rewarding role, we encourage you to apply. Join our team and become a part of arenaflex's success. Apply Now! Apply for this job

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