Data Scientist/Analyst

Uniting Holding; Vancouver (WA); On-site; USD 65,000 - 90,000; Full time

Job summary

Impact Scale is seeking an experienced Data Analyst to transform complex datasets into actionable insights that drive business strategy and operational performance. You will partner with leadership to define KPIs, analyze performance, and improve data quality to inform decisions.

The role emphasizes developing scalable reporting, data visualization, and advanced analytics to support strategic initiatives across the organization.

Qualifications

• Advanced data analysis and statistical techniques to evaluate performance and identify drivers.
• Development of dashboards and reporting systems for KPI monitoring.
• Data quality, validation, and documentation of methodologies.

Responsibilities

• Analyze large and complex datasets from multiple sources to identify trends, correlations, and opportunities.
• Develop dashboards and reports to monitor KPIs and communicate results to leadership.
• Query, clean, transform, and validate data across systems.
• Provide data-driven recommendations to support strategic decisions.

Skills

Data analysis

Data visualization

Statistical methods

Querying data

Job description

Position Overview

Impact Scale is seeking an experienced, highly analytical Data Analystwith a strong background in data analytics, data science, statistics, or a related quantitative field. This role will be responsible for transforming complex datasets into actionable insights that drive business strategy, operational performance, and informed decision-making across the organization.

The ideal candidate has hands-on experience working with large and complex datasets, querying and manipulating data, developing dashboards and reporting systems, identifying meaningful trends, and applying analytical and statistical methods to solve business problems.

In this role, you will partner with cross-functional teams and leadership to define key performance indicators (KPIs), analyze business performance, identify opportunities and risks, improve data quality and reporting processes, and provide data-driven recommendations that influence strategic and operational decisions.

Key Responsibilities

Advanced Data Analysis & Insights

• Analyze large and complex datasets from multiple sources to identify trends, patterns, correlations, anomalies, and business opportunities.

• Translate business questions into structured analytical approaches and measurable outcomes.

• Apply statistical and analytical techniques to evaluate performance, test hypotheses, and identify the underlying drivers of business results.

• Develop data models, forecasts, segmentation analyses, and other quantitative analyses to support business decisions.

• Proactively identify meaningful insights, risks, and opportunities rather than relying solely on predefined reporting requests.

• Present analytical findings and recommendations in a clear, concise, and actionable manner to leadership and internal stakeholders.

Reporting, Dashboards & Data Visualization

• Develop, maintain, and improve dashboards, reports, and performance measurement systems.

• Define, monitor, and analyze key performance indicators (KPIs) across multiple areas of the business.

• Build scalable and reliable reporting processes that improve visibility into business performance.

• Create effective data visualizations that communicate complex findings to both technical and non-technical audiences.

• Validate reporting accuracy and investigate discrepancies, anomalies, or changes in performance.

Data Management & Quality

• Query, clean, transform, and validate data from multiple systems and data sources.

• Identify data quality issues and collaborate with relevant teams to improve data accuracy, consistency, and reliability.

• Develop repeatable analytical processes and documentation to support scalable reporting and analysis.

• Maintain clear definitions and documentation for key metrics, datasets, and analytical methodologies.

Business & Strategic Analysis

• Partner with leadership and cross-functional teams to understand business objectives and translate them into analytical requirements.

• Conduct deep-dive analyses to understand business performance and identify opportunities for growth, efficiency, and optimization.

• Support strategic planning through forecasting, scenario analysis, business modeling, and performance analysis.

• Evaluate the effectiveness of business initiatives and provide recommendations based on measurable results.

• Identify workflow and operational inefficiencies through data and recommend improvements.

Cross-Functional Collaboration

• Serve as a trusted analytical partner to teams across the organization.

• Work with stakeholders to define reporting requirements, KPIs, analytical questions, and success metrics.

• Communicate analytical findings and recommendations effectively to both technical and non-technical audiences.

• Support cross-functional projects by establishing measurement frameworks and analyzing results.

Qualifications & Skills