Data Analyst

Wiha Tools USA•Monticello, MN

17h•Onsite

About The Position

The Data Analyst plays a critical role in transforming complex, multi-source data into actionable insights that support both strategic and day-to-day decision-making across the business. This role is responsible for building and owning key dashboards, reports, and analytical frameworks that provide visibility into performance and enable leaders to make informed, data-driven decisions. The ideal candidate combines strong technical expertise with business acumen and a consultative mindset. They are comfortable working in ambiguous environments, translating complex questions into structured analyses, and clearly communicating insights to stakeholders at all levels, including senior leadership.

Requirements

Bachelor’s degree in Analytics, Business, Finance, Economics, Statistics, Information Systems, or related field.
5+ years of progressive experience in data analytics, business analytics, or business intelligence roles.
Advanced proficiency in Excel (complex modeling, data manipulation, automation).
Strong SQL experience (complex queries, joins, aggregations, performance optimization).
Deep experience with BI and data visualization tools (Power BI, Tableau, or similar).
Proven ability to deliver insights that drive business decisions and measurable outcomes.
Strong analytical and critical thinking skills.
Business-first mindset with technical depth.
Ability to communicate complex insights clearly and concisely.
High attention to detail balanced with big-picture thinking.
Independent, proactive problem solver.

Nice To Haves

Experience working with sales, financial, supply chain, or operational data.
Familiarity with ERP, CRM, WMS, or ecommerce platforms.
Experience in high-SKU, multi-channel, or distribution-based environments.
Exposure to forecasting, demand planning, or pricing analytics.

Responsibilities

Design, build and maintain enterprise dashboards and reports using BI tools (Power BI, Tableau) to provide clear visibility into business performance.
Define and standardize KPIs, metrics, and calculation logic to ensure consistency across the organization.
Lead complex analyses across sales, customer behavior, pricing, margins, operations, or inventory, depending on business needs.
Identify trends, risks, and opportunities within large, multi-source datasets.
Develop predictive and scenario analyses to support planning and decision-making.
Support pricing strategy through analysis of margins, customer behavior, product mix, discounting, and historical pricing performance.
Write advanced SQL and build analytical models to support business decisions.
Build and maintain complex Excel models and analytical tools used for business decision-making.
Partner with IT and business leaders to improve data quality and data pipelines.
Translate complex business questions into clear insights and recommendations.
Present findings and influence decisions at the senior leadership level.
Other duties as assigned.