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- Tasks: Lead data analysis to optimise workforce and location strategies using advanced modelling techniques.
- Company: Synechron is a top digital transformation consulting firm focused on data-driven innovation.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and impactful projects.
- Why this job: Make a real difference by transforming complex data into actionable insights for senior leadership.
- Qualifications: Bachelor’s or Master’s in Data Science, strong skills in Excel, Python, SQL, and BI tools required.
- Other info: Ideal for those passionate about data analytics and HR metrics, with a chance to influence strategic decisions.
The predicted salary is between 36000 - 60000 £ per year.
About Synechron:
Synechron is a leading digital transformation consulting firm dedicated to helping clients harness the power of data, innovation, and strategy to achieve their business objectives. We are committed to fostering a collaborative environment where talented professionals can make a tangible impact.
Position Overview:
We are seeking a highly skilled Workforce & Location Strategy Data Analytics Specialist to lead the development of a sophisticated decision support model that informs and optimises our global workforce and location strategy. The ideal candidate will have a strong background in data analysis, statistical modelling, and business intelligence, coupled with a deep understanding of HR and workforce metrics. You will work closely with senior leadership to transform complex data into insightful, actionable recommendations that shape our location consolidation, workforce sizing, and operational efficiency strategies.
Key Responsibilities:
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Design, develop, and deploy decision support models utilising BI tools, Excel, Python, SQL, and other relevant technologies.
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Aggregate, clean, and analyze diverse data sources, including HR data (recruitment, attrition, performance, demographics), operational metrics, and historical trends.
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Identify critical variables and scenarios influencing location decisions, such as headcount distributions, role performance, age profiles, and productivity metrics.
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Construct data-driven frameworks to evaluate various location options, consolidations, and workforce strategies.
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Provide objective, evidence-based insights to support senior leadership discussions, minimizing subjective biases.
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Document variables, assumptions, and scenarios to ensure transparency and reproducibility of models.
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Collaborate with cross-functional teams to ensure data quality, integrity, and relevance.
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Stay informed on the latest best practices in data analytics, HR metrics, and location strategy.
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Develop compelling visualisations and reports tailored for executive decision-makers, demonstrating the value of insights derived from analytics.
Qualifications & Skills:
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Bachelor’s or Master’s degree in Data Science, Business Analytics, Statistics, HR Analytics, or a related field.
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Proven experience in developing decision support models, predictive analytics, or similar frameworks.
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Strong proficiency in data analysis and visualization tools/languages, including Excel, Python, SQL, and BI platforms such as Power BI.
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Demonstrated ability to work with complex, often intangible HR and operational data sets.
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Experience in workforce planning, HR analytics, or location strategy is highly desirable.
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Excellent problem-solving skills, with the ability to synthesize large data sets into clear insights.
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Strong communication skills, capable of engaging with senior leadership and explaining complex findings simply.
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Ability to manage multiple scenarios, document assumptions, and ensure transparency in models.
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Data Analyst employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific BI tools and programming languages mentioned in the job description, such as Excel, Python, and SQL. Consider taking online courses or tutorials to sharpen your skills in these areas, as practical knowledge will set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who have experience in HR analytics or workforce planning. Attend industry meetups or webinars to gain insights and potentially make connections that could lead to referrals for the position.
✨Tip Number 3
Stay updated on the latest trends and best practices in data analytics and HR metrics. Follow relevant blogs, podcasts, or thought leaders in the industry to ensure you can discuss current topics during interviews, demonstrating your passion and commitment to the field.
✨Tip Number 4
Prepare to showcase your problem-solving skills by thinking of examples where you've successfully synthesised large data sets into actionable insights. Be ready to discuss these experiences in detail during interviews, as they will highlight your ability to handle complex data challenges.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, statistical modelling, and business intelligence. Use specific examples that demonstrate your proficiency with tools like Excel, Python, and SQL.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities outlined in the job description, particularly your experience with HR metrics and decision support models.
Showcase Your Skills: Include a section in your application that showcases your technical skills. Mention any relevant projects or experiences where you developed decision support models or worked with complex HR data sets.
Prepare for Potential Questions: Anticipate questions related to your analytical approach and problem-solving skills. Be ready to discuss how you would handle specific scenarios mentioned in the job description, such as evaluating location options or presenting insights to senior leadership.
How to prepare for a job interview at Synechron
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in data analysis tools like Excel, Python, and SQL during the interview. Be prepared to discuss specific projects where you've successfully used these technologies to develop decision support models or analyse complex datasets.
✨Understand the Business Context
Familiarise yourself with Synechron's business model and how data analytics plays a role in their decision-making processes. This will help you tailor your responses to demonstrate how your skills can directly contribute to their objectives.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to workforce and location strategy. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to provide evidence-based insights.
✨Communicate Clearly and Confidently
Since you'll be engaging with senior leadership, it's crucial to convey your findings and recommendations in a straightforward manner. Practice explaining complex concepts simply, ensuring that your communication style aligns with the expectations of executive decision-makers.
