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.
Skills Required
- Bachelor’s degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field
- 3–5+ years of professional experience in data analytics, data science, business intelligence, or a similar analytical role
- Experience analyzing complex datasets and translating findings into actionable business recommendations
- Strong SQL skills, including querying, joining, transforming, and validating data across multiple datasets
- Advanced proficiency in Microsoft Excel and/or Google Sheets
- Experience building dashboards and data visualizations using Power BI, Tableau, Looker, Looker Studio, or similar platforms
- Strong understanding of statistical concepts, analytical methodologies, and data interpretation
- Experience with data cleaning, transformation, validation, and quality assurance
- Ability to independently structure and solve ambiguous analytical problems
- Strong critical thinking, problem-solving skills, and attention to detail
- Ability to communicate complex analytical concepts and findings clearly to non-technical stakeholders
- Strong organizational skills and ability to manage multiple priorities in a fast-paced environment
- Master’s degree
- Experience with Python, R, or another analytical programming language
- Experience applying statistical modeling, predictive analytics, experimentation, or machine learning techniques
- Experience working with cloud-based data warehouses or modern data platforms
- Familiarity with data pipelines, ETL/ELT processes, APIs, or data integration workflows
- Experience developing forecasting, attribution, segmentation, or performance models
- Ability to independently identify analytical opportunities and develop solutions from initial question through final recommendation
What We Do
Impact Scale is a Vancouver, Washington-based performance marketing company focused on customer acquisition at scale. It combines data-driven media buying, campaign optimization, software engineering, analytics, and proprietary technology to connect high-intent consumers with brands. The company delivers measurable growth through effective marketing channels, owned-and-operated traffic, and scalable campaigns across multiple verticals, supported by a team of marketing and technology specialists.
