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Experienced Data Entry Specialist – Remote Opportunity at arenaflex

Work from home Full-time role Hiring

Job Summary:

Are you a detail-oriented and analytical individual with a passion for data analysis and visualization? Do you have experience working with Power BI, SQL, and ETL tools? If so, we invite you to join arenaflex as a Data Entry Specialist in a remote role based in the USA. As a key member of our team, you will play a crucial role in supporting business operations, providing department insights on performance, and building data versions to solve complex business problems.

About arenaflex:

arenaflex is a leading organization in the industry, dedicated to delivering innovative solutions and exceptional customer experiences. Our team is passionate about leveraging data-driven insights to drive business growth and improvement. As a Data Entry Specialist, you will be part of a dynamic team that values collaboration, creativity, and continuous learning.

Key Responsibilities:

As a Data Entry Specialist at arenaflex, you will be responsible for:

  • Creating new, modifying existing, and executing ad-hoc reporting in support of business procedures and data-driven decision making
  • Developing relevant dashboards on Power BI and Excel
  • Establishing robust Data Quality specifications and controls to ensure data integrity and accessibility
  • Handling and producing new records pipelines from source devices to the Data Warehouse
  • Collaborating with Monitoring and Business Analysts to identify business requirements, maintain accurate documentation, and obtain business sign-offs for all reporting requirements
  • Generating, sustaining, and cultivating scalable data pipelines and data design
  • Utilizing data storytelling principles to create clear and impactful data visualizations using Power BI
  • Assisting in automating existing business processes and enhancing exception-based reporting
  • Working with IT and BA's to investigate, research, and obtain new data variables (data exploration)
  • Analyzing large datasets to identify meaningful patterns that yield actionable results
  • Evaluating data from multiple sources and resolving discrepancies
  • Validating data for accuracy by verifying against standards
  • Researching data errors and remediating poor data
  • Contributing to the Data Governance plan by updating the data dictionary and plan & procedures
  • Analyzing and affirming metrics are effective and providing feedback to division leaders on areas that require attention

Essential Qualifications:

* 2+ years of experience in in-depth data analysis and evaluation

  • Strong experience working with Power BI, including creating and modifying reports, dashboards, and data models
  • Knowledge of DAX, SQL, and M Code
  • Proficiency in SQL, with the ability to create complex SQL queries to generate reports and analytics
  • Experience with ETL tools, including SSIS, Power BI Dataflows, or other Big Data integrations
  • Strong data modeling experience using star schema or other methods
  • Problem-solving skills through statistical analysis with large data sets
  • Expertise with SSMS (SQL Server Management Studio), Power BI, and Power Query
  • Familiarity with Smartsheets

Preferred Qualifications:

* Bachelor's degree in Computer Science, Information Technology, or related field

  • Experience working in a data-driven environment, with a focus on data analysis and visualization
  • Strong understanding of data governance principles and best practices
  • Certification in data analysis, data science, or related field
  • Experience working with cloud-based data platforms, such as Azure or AWS

Skills and Competencies:

* Strong analytical and problem-solving skills, with the ability to work with complex data sets

  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
  • Strong attention to detail and ability to maintain high levels of accuracy
  • Ability to work independently and as part of a team, with a focus on delivering high-quality results
  • Strong understanding of data visualization principles and best practices
  • Familiarity with data storytelling and presentation techniques
  • Ability to learn and adapt quickly to new tools, technologies, and processes

Career Growth Opportunities and Learning Benefits:

As a Data Entry Specialist at arenaflex, you will have opportunities to:

  • Develop your skills and expertise in data analysis, visualization, and governance
  • Collaborate with cross-functional teams to drive business growth and improvement
  • Participate in training and development programs to enhance your knowledge and skills
  • Contribute to the development of data-driven solutions and initiatives
  • Work on high-profile projects and initiatives, with opportunities for visibility and recognition

Work Environment and Company Culture:

arenaflex is a dynamic and innovative organization, with a focus on collaboration, creativity, and continuous learning. Our team is passionate about delivering exceptional customer experiences and driving business growth through data-driven insights. As a Data Entry Specialist, you will be part of a team that values:

  • Collaboration and teamwork
  • Continuous learning and professional development
  • Innovation and creativity
  • Customer focus and satisfaction
  • Data-driven decision making and analysis

Compensation, Perks, and Benefits:

arenaflex offers a competitive compensation package, including:

  • Salary: $60,000 - $80,000 per year, depending on experience
  • Benefits: Health, dental, and vision insurance, 401(k) matching, and paid time off
  • Perks: Flexible work arrangements, professional development opportunities, and a dynamic work environment

How to Apply:

If you are a motivated and detail-oriented individual with a passion for data analysis and visualization, we invite you to apply for the Data Entry Specialist role at arenaflex. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job

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