Job Description
Join a High-Impact Team in Philadelphia
Are you a data-driven professional looking to make a tangible impact? BlueHorizon Analytics is seeking a Senior Data Analyst to join our dynamic team in Philadelphia, PA. You will be responsible for transforming raw data into actionable business insights that drive strategic decision-making.
In this role, you will collaborate closely with cross-functional teams, including marketing, finance, and operations, to uncover trends, optimize processes, and build scalable data solutions. If you have a passion for uncovering the stories hidden within data, we want to hear from you.
Responsibilities
- Data Exploration & Analysis: Perform in-depth data analysis using SQL, Python, and R to interpret complex datasets and identify key business trends.
- Visualization: Design and maintain interactive dashboards and reports using tools like Tableau and Power BI to communicate insights effectively to stakeholders.
- Cross-Functional Collaboration: Work closely with product managers and engineers to define data requirements and ensure data accuracy across the organization.
- Process Improvement: Identify opportunities for process automation and efficiency gains by streamlining data pipelines and ETL processes.
- Statistical Modeling: Develop and implement statistical models to forecast trends and support high-level strategic planning.
- Documentation: Create comprehensive documentation for data models, analysis processes, and methodologies to ensure knowledge transfer.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field is required.
- Experience: Minimum of 3-5 years of professional experience in data analysis, business intelligence, or a related role.
- Technical Skills: Strong proficiency in SQL (PostgreSQL/MySQL) and experience with Python (Pandas, NumPy) or R.
- Tool Proficiency: Demonstrated expertise in BI tools such as Tableau, Power BI, or Looker.
- Communication: Excellent verbal and written communication skills with the ability to translate technical findings for non-technical audiences.
- Problem Solving: Strong analytical thinking and the ability to troubleshoot complex data issues.