What Will You Do? Data Analysis:
Data source analysis and validation
Utilize statistical analysis, data visualization, and data mining techniques to identify trends, patterns, and correlations in the data
Generate actionable insights and provide data-driven recommendations to support business strategies
Reporting and Visualization:
Design and create comprehensive reports and dashboards to communicate findings effectively to both technical and non-technical stakeholders
Collaborate with cross-functional teams to understand reporting requirements and deliver meaningful visualizations
Predictive Modeling:
Develop and implement predictive models using machine learning techniques to forecast future trends and outcomes
Continuously improve and refine models based on feedback and changing business needs
Collaboration:
Collaborate with various departments to understand their data needs and provide support in leveraging data for decision-making
Act as a key liaison between technical and non-technical teams, fostering a data-driven culture
CRM Management
Act as a point-of-resource to other departments and make sure all data coming from various departments (Finance, Marketing, Sales, Customer Experience) are smoothly connected and integrated in our systems
Create training materials and troubleshooting documents
Data Collection and Cleaning:
Gather and clean large datasets from various sources to ensure data accuracy and integrity
Develop and implement processes for data validation and cleansing to maintain high-quality datasets
What Are We Looking For? Technical Skills:
Proficiency in statistical analysis, regression, forecasting, and other advanced data analysis techniques
Knowledge of programming languages such as Python or R for data manipulation, analysis, and visualization
Ability to create insightful, interactive visualizations using tools like Tableau, Power BI, or programming libraries (e.g., Matplotlib, Seaborn, ggplot2)
Experience with database technologies (SQL, NoSQL) for querying, extracting, and handling data from various sources
Skills in cleaning, transforming, and preparing data for analysis
Understanding of machine learning algorithms for predictive analytics and the
Business Acumen:
Ability to translate business problems into analytical questions and provide data-driven insights and solutions.
Understanding of the startup's industry, market trends, and competitive landscape to inform analysis and recommendations.
Familiarity with the product/service to analyze customer behavior, product performance, and identify growth opportunities.
Capability to think strategically about the long-term implications of data findings on business goals and strategy.
Soft Skills:
Excellent communication skills to articulate complex data insights clearly and effectively to stakeholders.
Collaboration with different teams (e.g., product, marketing, engineering) to implement data-driven strategies and improvements.
Flexibility to adapt to the dynamic startup environment, where priorities and projects can change rapidly.
Proactivity in identifying opportunities for data analysis that can drive value for the business.
Critical thinking to question assumptions, validate data sources, and evaluate analysis results.
Project management skills to manage analytics projects from conception to completion, ensuring timely delivery of insights.
Ability to implement models for informed decision-making
What do we offer? Before you apply #J-18808-Ljbffr
