Data Scientist/Analyst

Impact Scale LLC is seeking an experienced, highly analytical Data Analyst with a strong background in data analytics, data science, statistics, or a related quantitative field. In this core strategic role, you will take total ownership of transforming massive, complex datasets into actionable growth strategies, optimized operational baselines, and ironclad business decisions across multiple entities.

The ideal candidate does not merely build passive dashboards; you are a data investigator who proactively uncovers hidden revenue drivers, flags operational degradation, and structures predictive models. Partnering directly with cross-functional leadership, you will anchor a culture of relentless, data-driven execution.

Key Responsibilities

Advanced Data Analysis Predictive Insights

• Trend Anomaly Diagnosis: Extract and clean large, complex datasets across fragmented enterprise systems to identify deep behavioral trends, correlations, patterns, and operational anomalies.
• Hypothesis Testing: Apply rigorous statistical methods and quantitative approaches to test business assumptions, evaluate campaign performance, and isolate primary revenue drivers.
• Quantitative Modeling: Architect data models, business forecasts, customer segmentation frameworks, and multi-variable scenario analyses to guide long-term corporate scaling.
• Proactive Intelligence: Independently surface hidden risks and expansion opportunities, moving aggressively beyond standard predefined reporting requests.

Dashboard Architecture Data Visualization

• Scalable Business Intelligence: Design, launch, and maintain enterprise-grade dashboards and automated performance measurement infrastructure.
• KPI Definition: Standardize and monitor mission-critical Key Performance Indicators (KPIs) across all marketing, financial, and operational business lines.
• Executive Visualization: Synthesize highly technical, multi-layered data points into clean, high-impact visual stories easily digested by both technical engineers and executive leaders.
• Data Auditing: Run continuous validation processes to investigate reporting discrepancies, tracking drops, or macro performance shifts.

Data Governance, Cleaning Engineering

• Advanced Querying: Write complex, optimized SQLqueries to join, transform, and validate transactional records and marketing metrics.
• Data Quality Enforcement: Identify system data friction points and partner with engineering teams to optimize data pipelines, accuracy, and ingest reliability.
• Knowledge Management: Meticulously document metric definitions, schema changes, and repeatable analytical scripts to support a scalable reporting framework.

Strategic Cross-Functional Collaboration

• Analytical Partnering: Translate high-level leadership objectives into structured technical data requirements.
• Operational Optimization: Pinpoint internal workflow inefficiencies and platform waste through deep-dive performance analyses.
• Framework Development: Build standard measurement frameworks to evaluate the success and ROI of all new business launches and technical updates.

Qualifications Skills

• Education: Bachelor’s degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or a matching quantitative field required (Master’s degree is a distinct advantage).
• Experience Level: 3–5+ years of professional corporate experience as a Data Analyst, Data Scientist, Business Intelligence Developer, or a matching highly analytical position.
• SQL Mastery: Advanced proficiency writing complex SQL queries, handling heavy data preparation, data validation, and multi-table joins.
• Analytics Stack: Deep hands-on experience building out dynamic dashboards inside Power BI, Tableau, Looker, or Looker Studio. Expert-level Microsoft Excel/Google Sheets modeling capacity.
• Programming Skills: Strong working familiarity with Pythonor Rfor advanced data manipulation, automation, or statistical processing is highly preferred.
• Core Attributes: Exceptional problem-solving speed, sharp critical thinking, extreme attention to data integrity, and elite communication skills when explaining complex data patterns to non-technical stakeholders.

Preferred Scaling Competencies

• Proven experience applying predictive analytics, advanced forecasting, or machine learning frameworks to real-world business infrastructure.
• Exposure to cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern ETL/ELTdata integration pipelines.

Compensation Benefits

• Health Wellness: Comprehensive medical, dental, vision, and life insurance packages (Available following a standard 90-day introductory period).
• Retirement: Corporate retirement savings plan options with a traditional 401(k) (Eligible after 90 days of continuous employment).
• Time Off: Generous Paid Time Off (PTO) allotment and observed holiday schedule
• Perks Luxury Culture: Daily catered lunches, a fully stocked premium coffee and tea bar, unlimited snacks, and free garage parking. Employees also enjoy routine professional development opportunities within an elite, growth-driven leadership environment in Downtown Vancouver, WA.