Data Analyst

Surprise Insights; Town of Texas (WI); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Competitive pay

Performance-based bonuses

Health coverage

Remote flexibility

Growth opportunities

Job summary

A data-focused analytics company in Wisconsin is looking for a detail-driven Data Analyst to transform raw data into meaningful insights. Responsibilities include building dashboards, analyzing trends, and presenting findings. Candidates should have strong experience in SQL, Python or R, and familiarity with BI tools like Tableau or Power BI. A Bachelor’s degree in a relevant field is required. Competitive compensation and performance-based bonuses are offered, alongside growth opportunities into senior roles.

Qualifications

• Strong hands-on experience with SQL and data manipulation.
• Proficiency in Python or R for analysis tasks.
• Solid understanding of statistics and data modeling.
• Solid understanding of statistics, experimentation, and data modeling.
• Familiarity with cloud data warehouses (BigQuery, Redshift, Snowflake).
• Bachelor’s degree in Data Science, Statistics, CS or related field.

Responsibilities

• Collect and organize large datasets from various sources.
• Build dashboards and automated data pipelines.
• Identify trends to support decision-making.
• Conduct deep-diving analysis on business performance and user behavior.
• Develop predictive models and run A/B tests to validate assumptions.
• Collaborate with Product, Engineering, Marketing, and Finance teams.
• Maintain data accuracy, documentation, and reporting consistency.
• Present findings in a simple, visual, and actionable format for stakeholders.

Skills

SQL

Excel/Google Sheets

Python

R

Tableau

Power BI

Data Analysis

Problem-Solving

Communication Skills

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, or related field

Tools

Google Sheets

Tableau

Power BI

Looker

Job description

Job Overview

We’re hiring a sharp, detail-driven Data Analyst to help transform raw data into meaningful insights that guide key business decisions. You’ll work across multiple teams, build dashboards, analyze trends, and deliver recommendations that directly impact growth and performance.

Responsibilities

• Collect, validate, and organize large datasets from various sources.
• Build dashboards, reports, and automated data pipelines for real-time insights.
• Identify patterns, trends, and anomalies to support strategic decision‑making.
• Conduct deep‑diving analysis on business performance and user behavior.
• Develop predictive models and run A/B tests to validate assumptions.
• Collaborate with Product, Engineering, Marketing, and Finance teams.
• Maintain data accuracy, documentation, and reporting consistency.
• Present findings in a simple, visual, and actionable format for stakeholders.

Requirements

• Strong hands‑on experience with SQL and Excel/Google Sheets.
• Proficiency in Python or R for data manipulation and analysis.
• Experience with BI tools like Tableau, Power BI, Looker, or similar.
• Solid understanding of statistics, experimentation, and data modeling.
• Familiarity with cloud data warehouses (BigQuery, Redshift, Snowflake).
• Exceptional analytical, problem‑solving, and communication skills.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field (or equivalent real‑world experience).

Compensation

• Competitive pay depending on experience and skill level.
• Performance‑based bonuses.
• Benefits package may include health coverage, PTO, and remote flexibility (based on company policy).
• Growth opportunities into Senior Analyst, Data Scientist, or Analytics Manager roles.

Credit Score Requirements

Due to the financial and data‑sensitive nature of this role, all shortlisted applicants must complete a standard background check and credit score verification before interview scheduling. Only verified applicants will be moved forward for final review.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Seniority Level

Associate

Employment Type

Full‑time

Job Function

Information Technology

Industries

Transportation, Logistics, Supply Chain and Storage