data analyst Swindon, Wiltshire, South West England, England
Job description
Are you a talented and ambitious Female Senior Data Analyst looking for an exciting opportunity to make your mark in the world of data analysis? Look no further! We are seeking talented individuals like you to join our dynamic team and make a significant impact in our organization.
We recognize the value of diverse perspectives and believe in equal opportunities for all. As a Female Senior Data Analyst, you will play a pivotal role in driving data analysis, identifying valuable insights, and shaping strategic decisions within our organization. Your expertise and leadership will be crucial in shaping the future of our data-driven initiatives.
Why Join Us?
Collaborative Environment: Join a collaborative and inclusive team that fosters creativity, encourages knowledge sharing, and embraces diverse perspectives. Work alongside top professionals in the field who are passionate about leveraging data for success.
Professional Growth: We are dedicated to the growth and development of our employees. Take advantage of continuous learning opportunities, training programs, and mentorship initiatives to enhance your skills and advance your career.
Impactful Work: Your contributions as a Female Senior Data Analyst will directly impact our organization's success. Drive decision-making, optimize processes, and shape strategies based on data-driven insights that you provide.
Work-Life Balance: We believe in maintaining a healthy work-life balance. Enjoy flexible working arrangements and a supportive environment that promotes well-being and recognizes the importance of personal time.
Responsibilities:
Data Analysis: Perform comprehensive analysis of large and complex data sets using various statistical techniques and tools. Identify patterns, trends, and correlations to uncover valuable insights.
Data Modelling: Develop and implement statistical models to predict trends, forecast future outcomes, and optimize business processes. Apply advanced statistical concepts and machine learning algorithms to improve data accuracy and efficiency.
Data Visualization: Create visually compelling and easy-to-understand data visualizations, dashboards, and reports. Present complex findings in a clear and concise manner to both technical and non-technical stakeholders.
Insight Generation: Collaborate with cross-functional teams to understand business needs and define analytical requirements. Translate data analysis into actionable insights, recommendations, and strategies to drive business growth and optimize performance.
Data Quality Assurance: Ensure the accuracy, completeness, and reliability of data by conducting data quality checks and implementing data cleansing processes. Identify data gaps and propose solutions for data collection and integration.
Team Leadership: Provide guidance and mentorship to junior analysts, fostering their growth and development. Lead by example and promote a collaborative and inclusive work environment.
Industry Knowledge: Stay up-to-date with the latest trends, techniques, and tools in data analysis, machine learning, and artificial intelligence. Share industry best practices and promote a culture of continuous learning within the team.
Data Privacy and Compliance: Adhere to data privacy regulations and ensure compliance with internal data governance policies. Protect sensitive information and maintain the highest standards of data security
Requirements:
- Bachelor's or Master's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
- Proven experience as a Data Analyst, with a focus on analyzing large and complex datasets.
- Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Tableau.
- Strong statistical and mathematical skills, with experience in applying statistical concepts, regression analysis, and predictive modelling.
- Solid understanding of machine learning algorithms and techniques.
- Excellent data visualization skills with the ability to communicate complex findings effectively.
- Strong problem-solving and critical-thinking abilities.
- Leadership and mentoring skills, with the ability to guide and inspire a team.
- Strong attention to detail and ability to work on multiple projects simultaneously.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
Join us in driving data innovation and making an impact as a Female Senior Data Analyst. Apply today and unlock endless possibilities!
To apply, please send your resume and a cover letter highlighting your relevant experience and achievements to [email protected]. We look forward to hearing from you!
Job Type: Full-time
Salary: £30,000.00-£33,000.00 per year
Benefits:
- Casual dress
- Company pension
- Cycle to work scheme
- Health & wellbeing programme
- Life insurance
- On-site parking
- Sick pay
Flexible Language Requirement:
- English not required
Schedule:
- Day shift
- Monday to Friday
- No weekends
Ability to commute/relocate:
- Swindon: reliably commute or plan to relocate before starting work (required)
Education:
- Bachelor's (preferred)
Experience:
- Data analysis skills: 3 years (preferred)
Work Location: In person
