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- Tasks: Join a finance company as a Senior Insight Analyst, focusing on segmentation and product analytics.
- Company: Harnham is a leading analytics recruitment firm, connecting talent with top finance companies.
- Benefits: Work in a hybrid model with 2 days in the office and enjoy a collaborative team environment.
- Why this job: Make a real impact by working closely with cross-functional teams and stakeholders.
- Qualifications: Proficiency in Python, SQL, or SAS; strong experience in customer analytics and insight analysis.
- Other info: This is an urgent hiring opportunity—apply now to join a dynamic team!
The predicted salary is between 43200 - 72000 £ per year.
Senior Insight Analyst
Glasgow or Northampton (2 days)
Harnham are working with a finance company who are looking for a Senior Analyst to join their team. They are looking for someone with strong insight experience with segmentation, marketing, product analytics or CLV to work closely with cross functional teams and stakeholders to make an impact on the business.
Requirements:
- Proficiency in Python, SQL or SAS
- Client/Stakeholder engagement
- Strong commercial experience of analytics across teams
- Insight analysis
Urgent hiring – apply now
Desired Skills and Experience
SQL, SAS, Python, Customer Analytics, CLV, Insights
Senior Insight Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Insight Analyst
✨Tip Number 1
Make sure to showcase your experience with segmentation and customer analytics in your conversations. Highlight specific projects where you've successfully influenced business decisions through your insights.
✨Tip Number 2
Familiarize yourself with the finance industry and its key metrics. Being able to discuss how your analytical skills can directly impact financial performance will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your proficiency in Python, SQL, or SAS during interviews. Be ready to provide examples of how you've used these tools to derive insights and drive results in previous roles.
✨Tip Number 4
Engage with potential colleagues on platforms like LinkedIn. Building connections with current employees can give you valuable insights into the company culture and expectations for the Senior Insight Analyst role.
We think you need these skills to ace Senior Insight Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in insight analysis, segmentation, and customer analytics. Use specific examples from your past roles that demonstrate your proficiency in these areas.
Showcase Technical Skills: Clearly outline your skills in Python, SQL, or SAS in your CV and cover letter. Mention any relevant projects or achievements that showcase your technical expertise.
Engage with Stakeholders: Discuss your experience in client or stakeholder engagement. Provide examples of how you've successfully collaborated with cross-functional teams to drive business impact.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the posting to ensure your application stands out and demonstrates your fit for the role.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, or SAS during the interview. Be prepared to discuss specific projects where you utilized these skills to derive insights and drive business decisions.
✨Demonstrate Stakeholder Engagement
Since the role involves working closely with cross-functional teams, share examples of how you've successfully engaged with stakeholders in the past. Discuss how you communicated insights and influenced decision-making.
✨Highlight Your Analytical Experience
Prepare to talk about your experience with segmentation, marketing analytics, and customer lifetime value (CLV). Use concrete examples to illustrate how your insights have positively impacted previous employers.
✨Be Ready for Case Studies
Expect to tackle case studies or practical scenarios during the interview. Practice analyzing data sets and presenting your findings clearly, as this will demonstrate your analytical thinking and problem-solving abilities.
