We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. The ideal candidate will possess strong data analysis skills and be proficient in various statistical software and data visualisation tools. This role is crucial for transforming raw data into actionable insights that drive strategic decision-making within the organisation. The successful applicant will work closely with cross-functional teams to support marketing initiatives and enhance overall business performance.
Duties
Conduct thorough data analysis to identify trends, patterns, and insights that inform business strategies.
Utilise tools such as Tableau, Power BI, and Google Analytics for effective data visualisation and reporting.
Develop and maintain databases using SQL and R to ensure accurate data collection and storage.
Perform market research to support marketing efforts, providing insights into customer behaviour and preferences.
Collaborate with stakeholders to understand their data needs and deliver tailored analytical solutions.
Employ statistical software such as SPSS and SAS to conduct advanced analyses and generate reports.
Present findings in a clear and concise manner, ensuring that complex data is easily understood by non-technical stakeholders.
Requirements
Proficiency in data visualisation tools such as Tableau, Power BI, or similar platforms.
Strong programming skills in R and Python for data manipulation and analysis.
Experience with SQL for database management and querying.
Familiarity with Google Analytics for web traffic analysis.
Knowledge of statistical software (SPSS, SAS) is highly desirable.
Excellent market research capabilities to support marketing strategies.
Strong problem-solving skills with a keen attention to detail.
Ability to work collaboratively within a team environment while managing multiple projects simultaneously.
A degree in Data Science, Statistics, Mathematics, or a related field is preferred. If you are passionate about data analysis and eager to contribute to impactful projects within a collaborative environment, we encourage you to apply for this exciting opportunity.
Job Type: Part-time
Pay: 24,420.00-58,597.62 per year
Benefits:
On-site parking
Referral programme
Work from home
Work Location: In person
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