What are the responsibilities and job description for the Data Analyst position at tCognition?
Position: Data Analyst
Client: State of North Carolina
Duration: 12 months
Location: Raleigh, NC
Interview: Virtual Interview
Description:
We are seeking a talented and analytical Data Analyst to join our team. The successful candidate will collect, process, and analyze data to uncover actionable insights that drive strategic decisions. This role requires strong analytical capabilities, proficiency with key tools and technologies, and the ability to translate complex data into clear visualizations and recommendations.
Key Responsibilities:
- Data Collection and Management:
- Collect, organize, and maintain large datasets from various sources, ensuring data accuracy and integrity.
- Develop and maintain databases, dashboards, and reporting tools.
- Data Analysis:
- Analyze data to identify trends, patterns, and insights that align with business objectives.
- Develop predictive models, perform statistical analyses, and provide actionable recommendations.
- Reporting and Visualization:
- Create clear, concise, and visually appealing reports and presentations using tools like Tableau, Power BI, or Excel.
- Communicate findings to stakeholders, translating complex data into actionable strategies.
- Collaboration and Support:
- Work closely with cross-functional teams to understand their data needs and provide analytical support.
- Assist in defining key performance indicators (KPIs) and monitoring their progress.
- Process Improvement:
- Identify areas for process improvement and recommend innovative solutions.
- Stay updated on industry trends and emerging technologies to enhance analytical capabilities.
Key Skills:
- Data Cleaning and Transformation
- Data Visualization and Dashboard Creation
- Statistical Analysis and Interpretation
- Business Acumen and Strategic Thinking
- Strong Communication and Collaboration Skills
Tools and Technologies:
- Programming and Data Manipulation: SQL, Excel
- Data Visualization Tools: Tableau, Power BI
- Statistical Tools and Libraries: R, Python (Pandas, NumPy, Matplotlib, Seaborn)
Certifications (Preferred):
- Microsoft Certified: Data Analyst Associate
- Tableau Desktop Specialist
- Google Data Analytics Professional Certificate
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
- Proven experience in data analysis, visualization, and statistical interpretation.
- Proficiency with data manipulation, reporting, and visualization tools.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Ability to communicate complex findings to both technical and non-technical audiences.
Preferred Qualifications:
- Experience working with large datasets and business intelligence tools.
- Knowledge of machine learning techniques and advanced statistical methods.
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, or Google Cloud).
- Experience with big data tools (e.g., Hadoop, Spark).
