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Assistant Data Analytics Jobs in Idaho (NOW HIRING)

Technical Architect - Data, Analytics & AI

Boise, ID · Hybrid

$60.75 - $78/hr

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Work with stakeholders including the Executive teams to assist with data-related technical issues ... Analyze, validate, prioritize, and provide cost estimates for service requests and project work

Compliance Skills in Data Analytics and AI (Entry-Level Focus) * Use basic data collection methods to support compliance monitoring efforts. * Assist with maintaining records related to AI and ...

BI Data Engineer

Boise, ID · On-site

$88K - $116K/yr

Collect, organize, and analyze data from multiple internal and external sources to answer business ... Provide production support, communicate issues and resolutions to customers, and assist with ad hoc ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist senior analysts with report preparation and data management tasks.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Idaho? The most popular types of Data Analytics jobs in Idaho are:
What are popular job titles related to Assistant Data Analytics jobs in Idaho? For Assistant Data Analytics jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Assistant Data Analytics jobs in Idaho look for? The top searched job categories for Assistant Data Analytics jobs in Idaho are:
What cities in Idaho are hiring for Assistant Data Analytics jobs? Cities in Idaho with the most Assistant Data Analytics job openings:

Fisher's Technology - Power BI Data Analyst

Loffler Companies, Inc.

Boise, ID • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Loffler rating

6.4

Company rating: 6.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

175th of 221 rated it services


Job description

About the Company
At Fisher's Technology, our mission is straightforward: to cultivate exceptional satisfaction among both our customers and our team members. This commitment has guided our organization since 1936 and has contributed to our recognition as one of the Best Places to Work for 18 consecutive years. We provide comprehensive business technology solutions, including managed IT services, cybersecurity, managed print services, workflow automation, business telephony, and physical security systems.

Fisher's Technology is proud to be part of Loffler Companies, together forming one of the nation's largest independent business technology providers, with operations spanning across the mountain west to Midwest. This partnership unites our trusted local relationships and people-centered cultures with expanded resources and additional expertise, enabling us to better serve both our employees and our clients. Learn more aboutFisher's TechnologyandLoffler Companies Inc.by visiting our sites.

For those seeking more than employment, an organization that fosters professional growth, encourages meaningful contribution, and values a collaborative, engaged workplace culture, we invite you to connect with us.

Position Summary
Fisher's powered by Loffler is seeking a skilled and driven Power BI Data Analyst (level l or ll depending on experience) to join our growing Analytics team. In this role, you will be responsible for designing, developing, and maintaining Power BI reports and dashboards that empower both internal business stakeholders and external clients to make data-driven decisions. You will work closely with clients, data engineers, business leaders, and IT teams to ensure data accuracy, accessibility, and actionable insights across every engagement. You'll be joining a well-established, high-performing Analytics Team that has already built a strong foundation. Bring your skills into an environment where great work is already happening and the best is still to come.

The ideal candidate has hands-on experience with the Microsoft data ecosystem, including Azure, Microsoft Fabric, and SQL Server, and brings a strong eye for data storytelling and visualization best practices. Experience in PowerBI is required. This role will report directly into the Data & Analytics team whom reports directly to the President of Fisher's Technology.

Primary Responsibilities

Power BI Development

  • Design, build, and publish interactive Power BI reports, dashboards, and scorecards.
  • Develop and maintain complex DAX measures, calculated columns, and KPIs.
  • Implement row-level security (RLS) and manage Power BI workspace permissions.
  • Optimize data models for performance, including star-schema design and aggregations.
  • Manage report deployment pipelines (Dev, Test, Production) within Power BI Service.

Data Modelling & Engineering

  • Write efficient T-SQL queries, stored procedures, and views in SQL Server / Azure SQL.
  • Build and maintain dataflows, semantic models, datasets, and data warehouses within Power BI and Microsoft Fabric.
  • Connect to and integrate data from a wide variety of sources including SQL Server, Azure Synapse Analytics, Azure Data Lake, SharePoint, Excel, CSV files, REST APIs, cloud applications, and third-party business systems.
  • Design and develop scalable semantic models by combining data from multiple source systems into a single, well-structured business model that supports enterprise reporting and self-service analytics.
  • Develop ETL/ELT processes using Power Query, Fabric Dataflows, Data Pipelines, and other Microsoft technologies to cleanse, transform, and standardize data from disparate sources.
  • Create and maintain relationships, hierarchies, calculated tables, and business logic to ensure accurate reporting across multiple data sources.
  • Collaborate with data engineers and business stakeholders to define data warehouse schemas, dimensional models, and reporting standards.
  • Optimize semantic models for performance, scalability, and maintainability through proper star-schema design, aggregations, and incremental refresh strategies.

Microsoft Fabric & Azure

  • Leverage Microsoft Fabric capabilities including Lakehouses, Warehouses, Data pipelines, and/or Notebooks.
  • Assist Data Engineers in migrating legacy BI solutions to Fabric-native architecture where appropriate.

Client Engagement & Delivery

  • Partner with clients to understand their reporting needs, business objectives, and KPIs translating these into effective Power BI solutions.
  • Lead discovery workshops and requirements-gathering sessions with client stakeholders (internal & external).
  • Design and prototype dashboard layouts and report wireframes for client review and sign-off prior to development.
  • Develop and deliver client-facing Power BI reports and dashboards from initial build through to deployment and handover.
  • Maintain ongoing client relationships, managing feedback, change requests, and iterative improvements post-launch.
  • Provide training and documentation to empower clients in self-service analytics and day-to-day report use.

Stakeholder & Governance

  • Assist in gathering and translating business requirements into technical specifications and report designs.
  • Conduct data quality validation and support business users in self-service analytics.
  • Document data models, report logic, and data dictionaries to support governance standards.
  • Present findings and dashboard walkthroughs to both technical and non-technical audiences.

Requirements

Required Qualifications

  • 2-7+ years of experience in a BI, data analyst, or reporting analyst role. Show us what you've built!
  • Intermediate-level proficiency in Power BI Desktop and Power BI Service.
  • Strong command of DAX for measures, time intelligence, and advanced calculations.
  • Solid SQL skills - T-SQL query writing, joins, CTEs, window functions, and performance tuning.
  • Hands-on experience with Azure services (Azure SQL, Synapse Analytics, Data Factory, or Data Lake).
  • Familiarity with Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks, or Mirroring).
  • Experience with Power Query (M language) for data transformation.
  • Understanding of data modelling concepts: star schema, fact/dimension tables, cardinality.
  • Experience working directly or indirectly with clients or end users to gather requirements, design solutions, and deliver Power BI reports and dashboards.
  • Ability to work independently and manage multiple projects in a fast-paced technology environment.

Preferred Qualifications

  • Associate or Bachelor degree in Business, Computer Science, Information Technology, Business Technology, related field of study, or equivalent work experience.
  • Microsoft Certified: Data Analyst Associate (PL-300).
  • Knowledge of Azure DevOps or Git for version control of Power BI assets (PBIP format).
  • Exposure to Python or PySpark for data transformation within Fabric Notebooks.
  • Knowledge of CI/CD practices for BI report deployment.
  • Experience with Paginated Reports (SSRS / Power BI Paginated).
  • Background in financial, operational, or sales analytics is a plus.

Why Work for Us?

  • Top Workplace
  • Career Advancement
  • Employer Paid Life Insurance and Disability
  • Paid Time Off, Paid Sick Time, Volunteer Time, Holidays, Bereavement, and Parental Leave
  • Benefits Package including FSA, Medical, Dental, and Vision
  • 401K with Employer Match
  • Tuition Reimbursement

Loffler Core Values
What Defines our Culture.

  • Positive attitude: Be part of the solution. Put extra effort in all you do. Everything you do matters. Be a team player.
  • Integrity: Deliver on commitments. Do what is right. Live the mission. Be honest.
  • Innovation: Welcome new ideas. Work smarter. Be a visionary.
  • Customer first focus: Delight our clients. Bring value every day. Exceed expectations. Always do a good job.
  • Professionalism: Commit to excellence. Learn and improve. Looks and words matter. Best in industry; field expert.
  • Drive for results: Performance-orientated. Hard-working. Refuse to lose. Be accountable.

Loffler Companies is an Equal Opportunity Employer that is committed to diversity and inclusion in the workplace.


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