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Sr. Business Intelligence Analyst, Training & Enablement; Remote; Temp

Remote / Online - Candidates ideally in
Fresno, Fresno County, California, 93650, USA
Listing for: Optro
Seasonal/Temporary, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Business Intelligence Analyst, Training & Enablement (Remote) (Temp)

Why This Role is Exciting

We are seeking a flexible and highly collaborative Training & Enablement Specialist to lead the educational and adoption strategy for our modern data and analytics ecosystem. As we migrate from our legacy systems (Power BI on Postgres/Azure) to our next-generation stack (Sigma Computing on Snowflake), your mission is to ensure our internal teams and customers are not only transitioned but empowered to thrive in the new environment.

This role is a unique blend of a BI Specialist, a Product Analyst, and an Educator. You will be responsible for demystifying complex data concepts, establishing best-in-class reporting standards, and acting as the bridge between technical engineering and end‑user success.

Key Responsibilities 1. Training & Content Development
  • Material Creation:
    Design and produce comprehensive training and enablement materials, including technical documentation, video walkthroughs, and step‑by‑step “How‑To” guides.
  • Evergreen Process:
    Develop and manage a lifecycle process to ensure all training materials remain accurate and up‑to‑date as the migration evolves and new features are released.
  • Curriculum Leadership:
    Lead structured training sessions for different cohorts, ranging from executive stakeholders to power users and data analysts.
2. Data Literacy & Mentorship
  • Technical

    Coaching:

    Act as a subject matter expert to teach internal resources about data and BI best practices, including practical instruction on data modeling, relationship logic, and efficient query structures.
  • Product Analyst Lens:
    Evaluate user needs to determine how the new BI platform can best solve specific business problems, providing proactive recommendations on data structure and visualization.
3. Customer Engagement & Support
  • Office

    Hours:

    Lead regular “Office Hours” sessions to provide a forum for customers to ask questions, troubleshoot specific reporting challenges, and receive live coaching.
  • Informational Sessions:
    Conduct webinars and informational workshops for customers to showcase the benefits of the modern stack and provide updates on the migration roadmap.
  • Feedback Loop:
    Collect and synthesize user feedback to share with the Data Engineering and Product teams to influence the future state of our analytics tools.
Attributes for a Successful Candidate
  • Experience:

    3+ years in Business Intelligence, Analytics Engineering, or Technical Training. Proven experience with BI migrations is highly preferred.
  • Technical

    Skills:

    Proficient in SQL and experienced with modern BI tools (Sigma preferred; Power BI, Tableau, or Looker experience is applicable).
  • Data Foundations:
    Understanding of data warehousing concepts (Snowflake) and data model architecture (joins, schemas, and modeling).
  • Communication:
    Exceptional ability to explain complex, technical ideas clearly to both technical and non‑technical audiences.
  • Empathy & Patience: A passion for teaching others and a service‑oriented mindset toward customer success.
  • Tools:
    Familiarity with version control and documentation management is a plus.
  • Experience teaching research concepts or data analysis in a business or academic context is a strong bonus.

* perks may vary based on eligibility/location.

Background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information.

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