Data Analyst
Fisher Industries · Tempe, AZ
- On site
- Full-time
- $75,000 / year
- Tempe, AZ
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Data Analyst
Fisher Industries · Tempe, AZ
Morgan Blake
Hiring Manager · h•••••@applicantpro.com
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Subject: Interested in the Data Analyst role at Fisher Industries
Hi Morgan — I came across the Data Analyst opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Fisher Industries stood out because…
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Not recommended alone — most applicants never hear back.
Job highlights
- Analyze operational and financial data for transformation initiatives.
- Develop Power BI reports and dashboards for key metrics.
- Extract and transform data using SQL and ERP systems.
- Support data modeling and ETL processes.
- Educate stakeholders on data interpretation and self-service.
About the role
Data Analyst
Fisher Industries is seeking a Data Analyst to support Business Transformation initiatives and internal stakeholders by converting operational and financial data into actionable insights. As Fisher Industries transforms their operations across aggregate production and heavy civil construction, this role will help shape a developing data stack built for innovation, simplicity, and efficiency. The position is ideal for an early to mid-career professional with a strong growth mindset. Our technology stack is evolving rapidly; we are looking for individuals excited to help shape the future architecture rather than inherit a fully defined environment.
Qualified candidates must be authorized to work in the U.S. without employer sponsorship now or in the future.
Primary Duties
- Partner with Business Transformation and functional leaders (operations, finance, HR, safety, marketing, project management, etc.) to understand questions and translate them into data requirements and reports.
- Build, maintain, and improve Power BI reports and dashboards that surface KPIs for projects, plants, and business units (safety, production, margins, utilization, etc.).
- Write and optimize SQL queries to extract, join, and transform data from ERP systems and other data platforms as integrations mature.
- Develop and maintain data models, semantic layers, and reusable datasets to reduce report sprawl and standardize definitions across the business.
- Perform ad-hoc analysis to support project bids, cost investigations, process improvement initiatives, and leadership requests.
- Document data sources, metric definitions, and report logic in clear, business-friendly language.
- Help define and implement data quality checks, reconciliation routines, and simple monitoring for data pipelines in collaboration with IT or vendors.
- Educate and support stakeholders on how to use dashboards, interpret metrics, and self-serve where appropriate.
Requirements
- Must be 18 years of age or older
- Bachelor's degree in Data Analytics, Business, Information Systems, Finance, or related field (or equivalent experience)
- 2-5+ years of experience in a data analyst or similar role
- Experience with Power BI: data modeling, DAX, measures, calculated columns, basic row-level security, and dashboard design.
- Strong proficiency in SQL for querying and manipulating data
- Microsoft 365: strong Excel (Power Query, PivotTables, lookups), OneDrive/SharePoint, Teams, and PowerPoint for executive-ready presentations.
- Data modeling concepts: fact/dimension design, star schemas, basic normalization/denormalization.
- Basic ETL/ELT concepts: understanding data refresh schedules, incremental loads, and source-to-target mappings (hands-on with tools is a plus but not required).
- Familiarity (or willingness to learn) construction and heavy civil data structures: jobs, cost codes, phases, equipment, labor, materials.
- Power Automate for light workflow automation, Python or R for advanced analytics, experience with cloud data platforms (e.g., Azure SQL, Synapse, Snowflake).
Fisher Industries is an Equal Opportunity Employer.
We are a drug-free work environment requiring pre-employment and random drug testing. Subject to background check.
If you require an accommodation with applying, please email hrdept@fisherind.com or call the HR Department at (701) 456-9184 to request accommodations. This email is only to request accommodation for the application process and is not an email to inquire about the status of your application.
Key skills/competency
- Data Analysis
- Power BI
- SQL
- Data Modeling
- ETL/ELT
- Business Intelligence
- Data Visualization
- Microsoft Excel
- Reporting
- Fisher Industries
Skills & topics
- Data Analyst
- Power BI
- SQL
- Data Modeling
- Business Intelligence
- Data Visualization
- Reporting
- ETL
- Fisher Industries
- Construction Data
How to get hired
- Tailor your resume: Highlight your experience with Power BI, SQL, and data modeling, aligning with Fisher Industries' heavy civil and aggregate data structures.
- Showcase your growth mindset: Emphasize your eagerness to learn and shape evolving data stacks, as Fisher Industries seeks innovators.
- Prepare for technical questions: Be ready to discuss your SQL query optimization, Power BI dashboard design, and data modeling concepts.
- Demonstrate business acumen: Articulate how you translate business questions into data requirements and deliver actionable insights to stakeholders.
- Understand the company: Research Fisher Industries' commitment to safety, quality, and innovation in the heavy civil sector.
Technical preparation
Practice SQL queries for data extraction and transformation.,Build Power BI dashboards with DAX and data models.,Understand data modeling concepts: star schemas, normalization.,Familiarize with basic ETL/ELT and data quality concepts.
Behavioral questions
Describe a time you translated business needs into data requirements.,How do you handle ambiguous data or unclear requests?,Share an example of a complex data analysis you performed.,How do you support stakeholders in understanding data insights?
Prefer to apply the usual way?
Not recommended alone — most applicants never hear back. Email the hiring manager first.
Frequently asked questions
- What is the typical career path for a Data Analyst at Fisher Industries?
- As a developing data stack, Fisher Industries offers significant opportunity for growth. A Data Analyst can progress into senior analyst roles, specialize in specific areas like data engineering or business intelligence development, or move into data governance and architecture as the data capabilities mature. Your growth mindset and willingness to shape the future architecture will be key.
- What kind of data will a Data Analyst work with at Fisher Industries?
- A Data Analyst will work with a variety of operational and financial data. This includes data related to safety, production, margins, utilization, project bids, cost investigations, and process improvement initiatives. Familiarity with construction and heavy civil data structures such as jobs, cost codes, phases, equipment, labor, and materials is beneficial.
- Does Fisher Industries offer sponsorship for work authorization?
- No, Fisher Industries does not offer sponsorship for work authorization. Candidates must be authorized to work in the U.S. without employer sponsorship, now or in the future.
- What is the expected experience level for this Data Analyst role?
- This role is ideal for an early to mid-career professional with 2-5+ years of experience in a data analyst or similar role. Fisher Industries is looking for individuals with a strong growth mindset who are excited to contribute to an evolving data environment.
- What specific Power BI skills are most important for this Data Analyst position?
- Key Power BI skills include data modeling, DAX, creating measures and calculated columns, implementing basic row-level security, and dashboard design. Proficiency in these areas will be crucial for building and maintaining impactful reports and dashboards.
- How does Fisher Industries approach data quality and pipeline monitoring?
- The Data Analyst will collaborate with IT or vendors to help define and implement data quality checks, reconciliation routines, and simple monitoring for data pipelines. This collaborative approach ensures data integrity and reliability across the evolving data stack.
- Is experience with cloud data platforms required for the Data Analyst role?
- While not strictly required, familiarity or a willingness to learn cloud data platforms like Azure SQL, Synapse, or Snowflake is a plus. The company's technology stack is evolving, and experience with these platforms can be advantageous.