About the role:
We’re seeking a data-driven and analytical mind to join our dynamic team as a Data Analyst Specialist. You’ll play a crucial role in transforming raw data into actionable insights that drive informed decision-making across all aspects of our tech business. Using your expertise in data analysis and visualization, you’ll be the bridge between complex datasets and clear, actionable solutions.
Data Collection and Cleaning:Design and implement data collection strategies from internal and external sources.
Clean, validate, and transform data to ensure accuracy and consistency.
Develop and maintain data pipelines for automated data flow.
Data Analysis and Modeling:Perform statistical analysis and modeling to identify trends, patterns, and anomalies.
Develop and implement data-driven solutions to solve specific business problems.
Create predictive models to forecast future trends and optimize business processes.
Data Visualization and Communication:Translate complex data into compelling and insightful visualizations.
Communicate data findings effectively to stakeholders at all levels.
Develop and maintain data dashboards for real-time insights and monitoring.
Collaboration and Problem-Solving:Work collaboratively with cross-functional teams to understand business needs and translate them into data-driven solutions.
Proactively identify opportunities for data-driven improvement and innovation.
Maintain a strong understanding of the tech industry and its data trends.
Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
2+ years of experience in data analysis, preferably in the tech industry.
Strong proficiency in SQL and scripting languages like Python or R.
Experience with data visualization tools (e.g., Tableau, Power BI).
Excellent analytical and problem-solving skills.
Strong communication and presentation skills.
Ability to work independently and manage multiple projects simultaneously.
Passion for data and its potential to drive business impact.
Experience with cloud-based data platforms (e.g., AWS, Azure).
Familiarity with machine learning algorithms.
Experience in a specific area of the tech industry (e.g., software development, marketing, finance).