Data Analyst (Power BI)

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in São Paulo
Remote
Mid level
Artificial Intelligence • Machine Learning • Database
The Role
The Data Analyst will develop and maintain Power BI reports, incorporating advanced features and dimensional modeling techniques. Responsibilities include troubleshooting and optimizing report performance, managing Power BI services, and collaborating within Agile teams to derive actionable insights from data.
Summary Generated by Built In

Company Overview:

Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500s, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the company's growth.

Position Overview:

We are seeking a skilled and proactive Data Analyst to join our dynamic team. The ideal candidate will have extensive experience with Power BI, including writing PowerQuery and DAX, and be capable of building complex, interactive reports. This role involves troubleshooting, performance tuning, and managing Power BI services, as well as working within Agile teams. If you are passionate about data and have a knack for deriving actionable insights, we encourage you to apply.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Responsibilities:

  • Develop and maintain Power BI reports, dashboards, and visualizations using PowerQuery and DAX.
  • Implement advanced Power BI features such as bookmarks, drill-throughs, and Row-Level Security.
  • Utilize dimensional modeling techniques to create and optimize data models.
  • Troubleshoot and optimize the performance of Power BI reports and dashboards.
  • Configure and manage Power BI services, including deployment and access controls.
  • Embed Power BI content into various applications and platforms.
  • Use source control systems to manage Power BI projects.
  • Collaborate with Agile teams, participating in sprint planning, daily stand-ups, and retrospectives.

Requirements:

  • 3–5 years of experience in data analysis or a related field.
  • Proficiency in writing PowerQuery and DAX.
  • Demonstrated experience in building interactive Power BI reports with advanced features.
  • Strong understanding of dimensional modeling techniques.
  • Proven ability to troubleshoot DAX and optimize the performance of Power BI reports.
  • Familiarity with configuring and managing Power BI services.
  • Experience working within Agile teams and participating in Agile ceremonies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Experience embedding Power BI content into applications.
  • Experience with Power BI source control and CI/CD.
  • Experience or familiarity with Azure and Databricks services.
  • Familiarity with using Power BI in conjunction with source control systems.
  • Certification in Power BI or related data analytics tools.
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
  • Experience in a similar role within a fast-paced, data-driven environment.

Benefits:

  • Fully remote
  • Flexible Schedule
  • Unlimited Paid Time Off (PTO)
  • Paid parental/bereavement leave
  • Worldwide recognized clients to build skills for an excellent resume
  • Top-notch team to learn and grow with

Salary: USD $5200 - $6500 (monthly salary range)

A background check will be required for this position.

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Blue Orange Digital is an equal-opportunity employer.

Top Skills

Dax
Power BI
Powerquery
The Company
HQ: New York, NY
75 Employees
On-site Workplace
Year Founded: 2015

What We Do

Blue Orange is a data science and machine learning consulting and development firm. We build modern data warehousing to support machine learning and AI. We help companies integrate these insights to drive data-driven decision making.

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