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Job ID : 35760

Location : Austin, TX

Company Name : Apollose

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $34000 - $44000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Data analytics, Importing data, Manipulating data..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Engage, collaborate, and partner with business leaders and business teams to understand business workflows, the decision-making process, and their information needs.
  • Translate information needs into analytics and business intelligence solutions that support the decision-making process and provide new business insights.
  • Design, develop and deliver compelling data products using a variety of techniques including data storytelling and user-centric design.
  • Provide analytical and technical support, thought guidance, and best practices to deliver effective and sustainable data visualization and analytic solutions.
  • Teach and advocate the use of data visualization, data storytelling, analytics and business intelligence tools across all levels of the organization.
  • Be imaginative, enthusiastic and show high creativity and initiative with a distinct bias for action and an ability to express your own point of view with confidence and humility.

Qualifications:

  • Solid experience developing analytical solutions with Microsoft Power BI.
  • Excellent analytical and problem-solving skills, with the ability to translate complex business requirements.
  • Strong communication skills, both written and verbal, with the ability to present complex data concepts to non-technical stakeholders.
  • Proven ability to work independently and collaborate effectively within cross-functional teams.
  • Continuous learning mindset, staying updated with the latest trends, techniques, and tools in data analytics and business intelligence.

Key Skills:

  • Data analytics.
  • Importing data.
  • Manipulating data.
  • Data modeling in the query editor.
  • Table relationships and Data Analysis Expressions,
  • Building data visualizations and reports,

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