Are you a naturally curious problem-solver who loves digging into complex data to find hidden stories? We are looking for a sharp, detail-oriented Data Analyst to join our team. In this role, you will transform raw data into actionable insights, helping our team make smarter, data-driven decisions that impact our overall growth and performance.
If you enjoy translating numbers into clear business strategies and building robust data pipelines, this is your opportunity to make a massive impact.
Key Responsibilities
As a Data Analyst, your daily focus will include:
- Data Interpretation & Modeling: Analyzing large, complex datasets to identify trends, patterns, and anomalies that reveal business opportunities.
- Dashboard Creation: Designing, building, and maintaining automated interactive dashboards and reports using tools like Tableau or Power BI.
- Cross-Functional Partnership: Collaborating with marketing, sales, and operations teams to understand their data needs and provide strategic insights.
- Data Integrity & Hygiene: Cleaning, validating, and structuring raw data to ensure absolute accuracy and reliability in all reporting.
- Predictive Analysis: Developing forecasting models and tracking Key Performance Indicators (KPIs) to measure campaign success and operational efficiency.
- A/B Testing Support: Assisting with experimental design, statistical analysis, and performance tracking for digital optimization.
Qualifications & Skills
We are looking for a candidate who pairs strong analytical thinking with technical expertise:
- Experience: Proven experience working as a Data Analyst, Business Intelligence (BI) Analyst, or Data Engineer (portfolio or project examples preferred).
- SQL Expertise: Advanced proficiency writing complex SQL queries to extract, manipulate, and aggregate data from relational databases.
- Data Visualization: Strong hands-on experience building user-friendly reports in Tableau, Power BI, or Looker.
- Programming Skills: Solid foundational knowledge of Python or R for data manipulation (using libraries like Pandas, NumPy, or tidyverse).
- Analytical Mindset: Familiarity with statistical concepts (regression, hypothesis testing, data distributions) and how to apply them to business problems.
- Communication: The ability to translate technical data findings into clear, non-technical recommendations for stakeholders.
Why Join Us?
You won't just be running reports here—you will be a trusted strategic partner. We foster an environment that values curiosity, continuous learning, and ownership. You will have access to modern data infrastructure, the autonomy to explore new analytics methodologies, and a collaborative team that relies heavily on your insights to shape our future.
How to Apply: Click the "Apply Now" button and submit your resume along with any relevant case studies, a link to your portfolio, or a GitHub profile demonstrating your analytics workflow.
Pay: $54,018.93 - $65,055.06 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
Work Location: In person
