Fractional Data Analyst

About Humiint

At Humiint, we believe that growth is fueled by clear, objective data. As companies scale and their data volumes explode, the need for flexible, expert Data Analysis has never been greater. Businesses don't just need data; they need specialists who can jump in to clean it, model it, and translate it into actionable business intelligence that drives measurable results.

We are looking to connect with experienced Fractional Data Analyst who are passionate about helping organizations unlock the value hidden in their data. This work involves accelerating understanding, optimizing performance, and driving smarter strategy across diverse industries and business functions.

This opportunity is ideal for results-driven, technical professionals who thrive in fast-paced environments and want to bring their expertise to companies that need immediate, high-impact data analysis without the limitations of traditional structures.

Key Engagement Responsibilities May Include

• Data Cleaning & Preparation: Sourcing data from various systems (CRM, marketing platforms, databases), cleaning it, and structuring it for analysis.
• Modeling & Analysis: Developing and executing analytical models (e.g., cohort analysis, regression, forecasting) to identify trends, patterns, and root causes of performance.
• Reporting & Visualization: Creating clear, insightful dashboards and reports (using tools like Tableau, Power BI, or Looker) that communicate complex data to stakeholders.
• Business Intelligence Translation: Translating analytical findings into concrete, actionable recommendations for teams like Marketing, Sales, Product, or Finance.
• KPI Tracking & Optimization: Defining, tracking, and validating key performance indicators (KPIs) and helping teams understand their performance against targets.
• Ad-Hoc Investigations: Conducting deep-dive analysis on specific business problems (e.g., customer churn drivers, campaign effectiveness, pricing elasticity).
• SQL & Database Querying: Writing complex SQL queries to extract and manipulate data from relational databases.

Key Qualities & Experience

• Proven Analytical Experience: Demonstrated success in a Data Analyst, Business Intelligence Analyst, or similar role.
• Technical Proficiency: Expertise in SQL (required) and one or more analytical/statistical tools (e.g., Python, R, Excel).
• Visualization Mastery: Strong experience with leading BI platforms (e.g., Tableau, Power BI, Looker) to build dynamic and insightful dashboards.
• Domain Focus: Experience working with business data in areas such as Marketing Analytics, Sales Operations, Product Analytics, or Finance.
• Communication & Clarity: Exceptional ability to communicate findings, data limitations, and recommendations to non-technical business users.
• Adaptability: Ability to quickly understand new datasets, work independently, and provide immediate, actionable insights across different client environments.

Additional Information

• Autonomy: Ability to set your own pricing.
• Flexibility: Remote work with a flexible schedule.
• Diverse Impact: Work across different industries, business models, and data challenges.

Key skills/competency

• Data Analysis
• SQL
• Business Intelligence
• Data Visualization
• Tableau
• Power BI
• Looker
• Statistical Modeling
• KPI Tracking
• Client Consulting