Remote Business Intelligence Analyst

Description

Remote Business Intelligence Analyst

Location: Remote

Annual Salary: $134,829

About the Role: We seek a skilled and motivated Remote Business Intelligence (BI) Analyst to join our team. The ideal candidate will possess a strong analytical mindset, a deep understanding of data management and reporting, and the ability to derive actionable insights from complex datasets. This role is critical in helping our organization make informed, data-driven decisions to drive growth and efficiency.

Key Responsibilities:

  1. Data Analysis and Reporting:
    • Analyze large datasets from various sources, including internal databases, external systems, and market research.
    • Develop, maintain, and enhance reports and dashboards to track key performance indicators (KPIs) and business metrics.
    • Identify trends, patterns, and anomalies within data sets to support strategic decision-making.
    • Create comprehensive data visualizations that effectively communicate findings to stakeholders at all levels.
  2. Data Management:
    • Ensure data integrity and accuracy through regular validation and cleansing processes.
    • Design and implement data collection systems and other strategies to optimize statistical efficiency and data quality.
    • Collaborate with IT and database administrators to manage data storage, retrieval, and reporting systems.
  3. Business Insights and Strategy:
    • Partner with business units to understand their data needs and develop tailored BI solutions.
    • Provide actionable insights and recommendations based on data analysis to support business strategy and operational improvements.
    • Prepare and present reports and findings to executive leadership and other key stakeholders.
  4. Technical Expertise:
    • Utilize BI tools and platforms (e.g., Tableau, Power BI, Looker) to build and maintain dashboards and reports.
    • Apply statistical techniques and data modeling to solve complex business problems and forecast trends.
    • Stay updated with industry trends, tools, and business intelligence and data analysis best practices.
  5. Project Management:
    • Manage multiple BI projects simultaneously, ensuring timely delivery of reports and dashboards.
    • Work closely with cross-functional teams to gather requirements, define project scopes, and deliver solutions that meet business needs.
    • Troubleshoot and resolve data-related issues promptly.

Required Qualifications:

  • Bachelorโ€™s degree in Business Analytics, Data Science, Computer Science, or a related field. Advanced degree preferred.
  • Proven experience (3+ years) in a Business Intelligence Analyst role or similar position, with a strong track record of delivering data-driven insights and solutions.
  • Proficiency in BI tools and platforms such as Tableau, Power BI, or similar.
  • Strong knowledge of SQL for querying databases and manipulating data.
  • Experience with data warehousing and ETL processes.
  • Exceptional analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  • Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy and quality.

Preferred Qualifications:

  • Experience with programming languages such as Python or R for data analysis and visualization.
  • Familiarity with machine learning techniques and predictive analytics.
  • Experience in a remote work environment, with a demonstrated ability to work independently and manage time effectively.

Key Competencies:

  • Analytical Thinking: Ability to break down complex problems and analyze data to make informed decisions.
  • Communication: Strong verbal and written communication skills, with the ability to present data insights clearly and concisely.
  • Technical Proficiency: Advanced skills in data analysis, visualization, and BI tools.
  • Problem-Solving: Innovative and solution-oriented approach to tackling data challenges.
  • Collaboration: Ability to work effectively with cross-functional teams and build strong stakeholder relationships.

Work Environment:

  • This fully remote position allows you to work from anywhere with a reliable internet connection.
  • Flexibility in work hours is available, though alignment with core business hours may be required for meetings and collaboration.

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