Data Analyst: SQL, Power BI, Excel, Python, Snowflake

Data Analyst: SQL, Power BI, Python

Location: This job can be done remotely central or eastern time zone (from the US). Duration: Projected to be up to 3-6 months with possible extensions / conversion to FTE.

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Analyst. Position Summary We are seeking a highly analytical and business-focused Senior Data Analyst to join a strategic growth and analytics team. This role will be responsible for transforming complex data into actionable insights that drive business performance, support strategic decision-making, and accelerate organizational growth. The ideal candidate will combine advanced analytical capabilities, business acumen, data visualization expertise, and strong communication skills to influence leaders across Sales, Marketing, Finance, Operations, and Strategy.

Key Responsibilities

Reporting & Data Visualization

• Develop, maintain, and optimize dashboards, scorecards, and KPI reporting solutions for business stakeholders.
• Automate recurring reporting processes to improve efficiency and visibility into business performance.
• Create interactive visualizations using Power BI, Tableau, or similar BI platforms.
• Partner with business and technical teams to establish consistent reporting metrics, definitions, and data governance standards.

Business Analysis & Strategic Insights

• Conduct deep-dive analyses to identify business drivers, growth opportunities, customer trends, and operational improvements.
• Analyze and integrate data from multiple internal and external sources, including CRM, ERP, sales, marketing, and financial systems.
• Deliver actionable recommendations that support business growth, resource allocation, and strategic initiatives.
• Support annual planning, forecasting, and performance evaluation through data-driven insights.
• Analyze sales performance, marketing effectiveness, customer behavior, and market trends.

Cross-Functional Decision Support

• Collaborate with Sales, Marketing, Finance, Supply Chain, Operations, and IT teams to address critical business questions.
• Translate complex analytical findings into clear business narratives and executive-level presentations.
• Partner with data and technology teams to improve access to high-quality, structured, and reliable data.
• Support enterprise-wide initiatives through analytical consulting and decision support.

Predictive Analytics & Data Science

• Develop predictive models to forecast sales, customer retention, campaign performance, demand, and regional business outcomes.
• Apply statistical techniques such as regression analysis, forecasting, clustering, segmentation, and machine learning.
• Identify opportunities to leverage AI and advanced analytics for business growth and operational efficiency.
• Establish best practices for model validation, governance, monitoring, and continuous improvement.