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BI Reporting Analyst Snowflake)

Roles & Responsibilities

  • 10+ years in Business Intelligence, analytics, or data modeling
  • 5+ years advanced proficiency with Power BI (DAX, Power Query) and complex data modeling
  • 5+ years designing or supporting self-service analytics environments
  • 3+ years strong SQL with Snowflake, Databricks, or similar cloud data platform

Requirements:

  • Lead design, development, and maintenance of high-performance Power BI dashboards and Snowflake-based semantic models using DAX and Power Query
  • Gather requirements from stakeholders, translate into BI solutions, and present actionable insights to leadership
  • Establish data governance standards, curate certified datasets, and deliver train-the-trainer programs for business users
  • Partner with data architects to ensure data quality and optimize performance, and mentor internal teams on data-driven decision-making

Job description

Company Description

Big challenges need bold thinkers.

If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

At RESPEC, you’ll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.

We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in.

We do not accept unsolicited resumes from third-party recruiters.

Job Description

The Senior Reporting Analyst will lead the design, development, and maintenance of high-performance Power BI dashboards and scalable Snowflake-based semantic models using DAX and Power Query. This role bridges the gap between technical data engineering and business strategy by gathering requirements from stakeholders, translating them into intuitive BI solutions, and presenting actionable insights to leadership. Beyond technical development, you will champion a self-service analytics ecosystem by establishing data governance standards, curating certified datasets, and delivering comprehensive "train-the-trainer" programs to empower business users. You will also partner closely with data architects to ensure data quality, optimize performance for cost efficiency, and mentor internal teams on data-driven decision-making.

    Qualifications

    Required Qualifications:

    • 10+ years of professional experience in Business Intelligence (BI), analytics, or data modeling roles.
    • 5+ years of advanced proficiency with Power BI, specifically including DAX, Power Query (M), and complex data modeling.
    • 5+ years of experience designing, implementing, or supporting self-service analytics environments.
    • 5+ years of experience with Microsoft Office tools (Word, Excel, PowerPoint, Visio, and SharePoint).
    • 3+ years of strong SQL skills with hands-on experience in Snowflake, Databricks, or a similar cloud data platform.
    • 2+ years of experience in fast-paced environments, demonstrating the ability to meet project deliverables, exercise sound judgment, and address complex issues.
    • 2+ years of experience with enterprise information management processes, relational database management systems (RDBMS), and metadata management.
    • 2+ years of demonstrated skill in interpersonal relationships, including the ability to work under pressure, negotiate among multiple parties, and resolve conflicts.

     

    Preferred Qualifications:

    • 2+ years of experience in data-focused projects, specifically involving migrations from legacy systems to modern cloud platforms.
    • 2+ years of knowledge regarding local, state, and federal laws and regulations (such as PII) relevant to data management and governance.
    • 2+ years of theoretical and practical knowledge of database structures and advanced data theories.
    • Graduation from an accredited four-year college or university with major coursework in Data Processing, Computer Science, Business Administration, or a related field.
    • Prior experience working within a Texas State Agency or similar public sector environment.

    Additional Information

    Compensation: Hourly wage depends on education and experience, plus statutory insurance requirements.

    Primary location: Remote

    Featured benefits:

    • Flexible Work Schedules
    • Paid Parental Leave
    • 401(k) & ESOP (with company match up to 4%)
    • Professional Development and Training
    • Tuition Reimbursement
    • Employee Assistance Program
    • Medical/Dental/Vision Insurance Plans

    All your information will be kept confidential according to EEO guidelines.

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