Role:Data Analyst
Duration:Contract
Location:Knutsford
Role Summary:
A Data Analyst is responsible for collecting, processing, and analyzing data to extract meaningful insights and help organizations make data-driven decisions. They play a critical role in identifying trends, creating visualizations, and presenting actionable recommendations to stakeholders. The role requires a combination of analytical skills, technical proficiency, and business acumen.
Key Responsibilities:
Data Collection and Cleaning:
- Gather data from primary and secondary sources (databases, APIs, surveys, etc.).
- Perform data cleaning and preprocessing to ensure accuracy and completeness.
Data Analysis:
- Analyze datasets using statistical techniques to identify patterns and trends.
- Develop and implement data models to solve business problems.
Visualization and Reporting:
- Create dashboards, reports, and visualizations to present insights to stakeholders.
- Use tools like Tableau, Power BI, or Excel for data presentation.
Collaboration with Stakeholders:
- Work with cross-functional teams (e.g., marketing, operations, finance) to understand business needs.
- Translate business questions into data-driven solutions.
Performance Monitoring:
- Track key performance indicators (KPIs) and provide actionable insights.
- Identify areas for process improvement and recommend solutions.
Database Management:
- Manage and maintain databases or data warehouses.
- Use SQL to query and manipulate data as needed.
Documentation:
- Document analysis processes, methodologies, and results for future reference.
Required Skills and Qualifications:
Educational Background:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- Advanced degrees (M.Sc./MBA) in relevant fields are a plus.
Technical Skills:
- Proficiency in programming languages like Python, R, or SQL.
- Experience with data visualization tools such as Tableau, Power BI, or QlikView.
- Familiarity with statistical methods, machine learning, or predictive modeling is a plus.
- Knowledge of big data tools like Hadoop, Spark, or cloud platforms (AWS, Azure, GCP) is desirable.
Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication and presentation skills.
- Attention to detail and ability to work under deadlines.
Experience:
- 6-8 ears of experience in data analysis, business intelligence, or related roles.
- Experience in a specific domain (E.G Banking ) is a bonus.
Preferred Certifications:
- Microsoft Certified: Data Analyst Associate
- Tableau Desktop Specialist/Professional
- Google Data Analytics Professional Certificate
- Certified Analytics Professional (CAP)