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)