Role Overview:
As a Senior Data Analyst, you will play a crucial role in transforming raw data into actionable insights. You’ll collaborate with cross-functional teams, analyze complex datasets, and provide strategic recommendations to drive business success. If you’re passionate about data, thrive in a fast-paced environment, and enjoy solving challenging problems, we want to hear from you!
Responsibilities:
- Data Exploration and Analysis:
- Dive deep into large datasets, identifying patterns, trends, and anomalies.
- Develop and execute SQL queries, Python scripts, or other tools to extract relevant information.
- Perform statistical analysis and create visualizations to communicate findings effectively.
- Business Intelligence:
- Collaborate with stakeholders to understand business requirements.
- Design and build dashboards, reports, and KPIs using BI tools (e.g., Tableau, Power BI).
- Provide actionable insights to support strategic decision-making.
- Predictive Modeling and Machine Learning:
- Build predictive models using regression, classification, or clustering techniques.
- Explore machine learning algorithms to solve business problems (e.g., customer segmentation, churn prediction).
- Data Quality and Governance:
- Ensure data accuracy, consistency, and integrity.
- Implement data governance best practices.
- Cross-Functional Collaboration:
- Work closely with teams such as Marketing, Finance, and Operations.
- Translate business questions into analytical solutions.
Qualifications:
- Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).
- Minimum 5 years of experience as a Data Analyst or similar role.
- Proficiency in SQL, Python, or R.
- Strong analytical skills and attention to detail.
- Experience with BI tools (Tableau, Power BI, etc.).
- Knowledge of statistical techniques and machine learning.
- Excellent communication and presentation skills.
Benefits:
- Competitive salary and performance-based bonuses.
- Health insurance and retirement plans.
- Professional development opportunities.
- Collaborative and inclusive work environment.