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For Companies At a Glance
- Tasks: Become a data expert, delivering insights and visualizations for stakeholders.
- Company: With Intelligence connects investors and managers in the asset management industry with essential data.
- Benefits: Enjoy 24-29 days of leave, flexible Fridays, wellness days, and social events.
- Why this job: Join a dynamic team, foster a data-driven culture, and make an impact with your analysis.
- Qualifications: Experience with SQL, Power Query, MS Excel, and a detail-oriented mindset are key.
- Other info: Hybrid working and a commitment to diversity and inclusion make this a great workplace.
The predicted salary is between 28800 - 43200 £ per year.
With Intelligence is a global provider of data for the asset management industry, offering a global platform connecting investors and managers to the data and insight they need to raise and allocate funds.
With Intelligence seeks a talented and motivated Data Analyst to join our newly formed data team. The data team works across With Intelligence to build collaboration with data and structure the information we deliver out to the industry.
As a Data Analyst, you will help teams across With Intelligence understand, work with, and gain value from our data assets. You will create analysis, insights, and visualisations that enable others to understand the underlying data.
We are looking for self-motivated individuals who want to work with stakeholders to use With’s data. This is a great chance to be part of a team’s evolution, provide the business with accessible data, and foster a data-driven culture.
What You’ll Do:
- Become a trusted expert, able to find and articulate answers to internal stakeholder’s questions about our data.
- Deliver ad-hoc analysis explaining data content and structure.
- Communicate data clearly, with ability to model information into finalised tables or visualisations.
- Work collaboratively with stakeholders to understand their ask and interpreting the data to support their goals.
- Continuous learning to stay up-to-date with industry trends and best practices in data analysis.
Requirements:
- Previous working experience with data in SQL, Power Query, MS Excel or using un-structured formats.
- You have the ability to model data into tables or visualisations depending on the ask.
- You are detail oriented, with a keen eye for precision and accuracy.
- You are driven, take initiative, and remain focused on achieving results.
- You excel in communication, effectively simplifying complex data for easy understanding.
- Knowledge of the financial services sector is an advantage.
Benefits:
- 24 days annual leave rising to 29 days.
- Enhanced parental leave.
- Medicash (Health Cash Plans).
- Wellness Days.
- Flexible Fridays (Opportunity to finish early).
- Birthday day off.
- Employee assistance program.
- Travel loan scheme.
- Charity days.
- Breakfast provided.
- Social Events throughout the year.
- Hybrid Working.
We are an Equal Opportunity Employer. Our policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, colour, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable law.
Seniority level
- Associate
Employment type
- Full-time
Job function
- Information Technology
- IT Services and IT Consulting
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Data Analyst employer: With Intelligence
Contact Detail:
With Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, such as SQL, Power Query, and MS Excel. Consider taking online courses or tutorials to sharpen your skills in these areas, as practical knowledge will set you apart during the interview process.
✨Tip Number 2
Showcase your ability to communicate complex data clearly. Prepare examples of past projects where you successfully simplified data for stakeholders. This will demonstrate your capability to fulfill one of the key responsibilities of the role.
✨Tip Number 3
Research the financial services sector and current trends in data analysis. Being knowledgeable about industry-specific challenges and opportunities will help you engage in meaningful conversations during interviews and show your genuine interest in the role.
✨Tip Number 4
Network with professionals in the data analysis field, especially those working in asset management. Attend relevant webinars or local meetups to build connections and gain insights that could be beneficial during your application process.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Analyst position. Understand the key responsibilities and required skills, such as SQL, Power Query, and data visualization techniques.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your previous work with data analysis, communication skills, and any experience in the financial services sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your motivation to join With Intelligence. Mention specific examples of how you've used data to drive insights and support stakeholders in previous roles.
Showcase Your Communication Skills: In your application, demonstrate your ability to simplify complex data. Provide examples of how you've effectively communicated data insights to non-technical stakeholders, as this is crucial for the role.
How to prepare for a job interview at With Intelligence
✨Understand the Data Landscape
Familiarize yourself with the types of data and analysis that With Intelligence focuses on. Be prepared to discuss how you can leverage your skills in SQL, Power Query, and Excel to provide insights and visualizations that meet stakeholder needs.
✨Communicate Clearly
Practice simplifying complex data concepts into clear, understandable terms. During the interview, demonstrate your ability to articulate how you would explain data findings to non-technical stakeholders.
✨Showcase Your Detail Orientation
Highlight your attention to detail by discussing past projects where precision was crucial. Be ready to provide examples of how your meticulous approach has led to successful outcomes in data analysis.
✨Emphasize Continuous Learning
Express your commitment to staying updated with industry trends and best practices in data analysis. Share any recent courses, certifications, or resources you've engaged with to enhance your skills.
