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Experienced Data Entry Specialist – Live Chat, Remote

Work from home Full-time role Hiring

At arenaflex, we're committed to delivering exceptional customer experiences and driving business growth through innovative solutions. As a key member of our team, you'll play a vital role in shaping our data-driven approach and leveraging cutting-edge technologies to drive business success.

Job Summary:

We're seeking an experienced Data Entry Specialist to join our remote team, working closely with our Utility Teams to capture and transform commercial enterprise needs into actionable insights. As a Data Entry Specialist, you'll be responsible for designing and building robust data models, leveraging transformational technologies to deliver innovative solutions, and collaborating with cross-functional teams to drive business growth.

Key Responsibilities:

* Collaborate with Utility Teams to outline, body, and capture commercial enterprise needs, ensuring seamless integration with our Cornerstone Large Data Platform.

  • Develop and implement data models that facilitate efficient statistics processing and standardized metric definitions, driving business insights and decision-making.
  • Utilize transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python) to deliver innovative solutions, ensuring high-quality and accuracy through intensive testing at variable and use case levels.
  • Provide guidance on beautifying competencies to drive efficiency in computing programs using massive data ecosystems.
  • Conduct consumer tale evaluation and elaboration, design and development of software program programs, checking out, and builds automation tools.
  • Proactively identify and automate guide obligations to improve best and efficiency.
  • Collaborate with companions from GSN and AET to prioritize, define, increase, and review statistics for various use cases as part of the VOC cease to quit technique.

Essential Qualifications:

* At least 3 years of hands-on experience with Hive/Hadoop, Pyspark, Python, Shell Scripting Languages, Development Launch Management, and Troubleshooting Understanding for data pushed tasks.

  • Proven ability to collaborate with dating managers/product proprietors to expertise functional requirements and convert them into technical deliverables.
  • Familiarity with Agile methodologies of delivery, where small increments of a product are introduced at everyday intervals to business groups.
  • Prior experience in customer service or data entry roles preferred.

Preferred Qualifications:

* Strong understanding of data modeling, data warehousing, and business intelligence.

  • Experience with data visualization tools and technologies.
  • Familiarity with cloud-based data platforms and services.
  • Certification in data science, data engineering, or related fields.

Skills and Competencies:

* Excellent typing speed and accuracy.

  • Strong communication skills, both written and verbal.
  • Ability to multitask and prioritize in a fast-paced environment.
  • Proficiency in using computer applications and navigating online systems.
  • Flexible availability to work varying shifts as needed.

Work Environment and Company Culture:

At arenaflex, we prioritize our colleagues' and their loved ones' holistic well-being, ensuring their physical, financial, and intellectual health through every stage of life. We offer a comprehensive benefits package, including:

  • Competitive hourly rate of $35.
  • Remote work opportunity with the flexibility to work from home.
  • Access to comprehensive training and support resources.
  • Potential for career growth and advancement within arenaflex.
  • Eligibility for employee benefits such as healthcare, retirement plans, and more.

How to Apply:

If you're a motivated and detail-oriented individual with a passion for data-driven solutions, we'd love to hear from you. Apply now to join our team and be part of arenaflex's mission to deliver exceptional customer experiences and drive business growth. Apply Job! For more such jobs, please click here: Browse Jobs Apply for this job

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