Business Intelligence Analyst

Business Intelligence Analyst

Farnell

Farnell, an Avnet company, is a global high-service distributor of technology products, services and solutions for electronic system design, maintenance and repair.

Job Summary:

Designs and develops data and knowledge based solutions using procedures, tools & methodologies. Creates data models, logical and physical databases, data dictionaries, access methods, etc. to support business objectives.

Principal Responsibilities:

• Data Analysis & Requirements Gathering: Assess and analyze data needs at both system and sub-system levels to support business objectives.
• Power BI & SQL Development: Design, build, and optimize Power BI dashboards, reports, and relational databases using SQL, SSRS, and SSAS for advanced data modeling and integration.
• Business Intelligence Enablement: Train and mentor teams on Power BI and other Microsoft BI tools, fostering a data-driven culture across the organization.
• Quality Assurance & UAT: Implement rigorous quality control and user acceptance testing (UAT) processes for regular and ad hoc reporting.
• Cross-Functional Collaboration: Work seamlessly across geographical and cultural boundaries, ensuring consistency in data reporting and insights delivery.
• Technical & Business Translation: Translate complex business requirements into scalable technical solutions, making data accessible and impactful for stakeholders.
• Coaching & Mentorship: Guide junior colleagues in both technical skills and commercial awareness, ensuring a strong and capable BI team.
• Continuous Improvement: Stay ahead of BI trends and enhance reporting structures to meet evolving business demands.

What You Bring:

• Proven experience in SQL, Power BI, SSRS, and SSAS, with a strong focus on data modeling, visualization, and performance optimization.
• Ability to work in a fast-paced, evolving business environment, adapting to new challenges and opportunities.
• Strong communication skills to translate complex technical concepts into business-friendly insights.
• Experience mentoring and coaching junior team members to develop both technical and analytical skills.

Key Competencies & Impact

• Deep Expertise & Industry Knowledge: Strong foundation in core principles, theories, and concepts within the discipline, with a well-rounded understanding of industry best practices, techniques, and standards.
• Problem-Solving & Innovation: Develops creative, data-driven solutions for a variety of challenges, applying critical thinking and analytical skills to drive results. Evaluates policies, practices, and precedents to determine the best course of action.
• Independent Decision-Making: Operates with a high level of autonomy, exercising sound judgment and discretion. While guidance may be provided for new or complex tasks, work is primarily self-directed and assessed for overall effectiveness.
• Cross-Functional Collaboration: Works closely with management, team members, and stakeholders across departments, ensuring alignment and knowledge sharing. May serve as a key representative for the department in internal and external engagements.
• Business Impact & Accountability: Decisions and actions directly influence the success of the department and broader organization. Errors or delays could impact project timelines, revenue generation, or resource allocation, making attention to detail and strategic thinking essential.

Work Experience:

• Typically 2+ years with bachelor's or equivalent.
• Experience using SQL Server normalized/de-normalized database
• Development, Implementation and Administrate SSRS reports - Essential
• Ability to write a complex code in SQL - Essential
• Experience on Power BI and/or Tableau - Essential

Education and Certification(s):

• Bachelor's degree or equivalent experience from which comparable knowledge and job skills can be obtained.

Distinguishing Characteristics:

• Supports data requirements for a business application.
• Performs data modeling and analysis to support data applications in one functional area.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills.

Experience Level

Mid Level