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- Tasks: Join our team to analyze alumni data and drive impactful insights for our firm.
- Company: Be part of a dynamic social network focused on people analytics and innovation.
- Benefits: Enjoy mentorship, training, and the chance to work in a collaborative environment.
- Why this job: Make a real impact by enhancing alumni engagement and shaping strategic decisions.
- Qualifications: Bachelor's or master's degree in relevant fields with 4+ years of analytics experience required.
- Other info: Work remotely from various locations including London, Madrid, and more.
The predicted salary is between 36000 - 60000 £ per year.
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People Analytics and Measurement is a team composed of over seventy data and analytics professionals who serve internal firm customers. The Business Intelligence group is responsible for all reporting, performance metrics, and descriptive analytics enabling the firm to understand and optimize our people operations, and measure the impact of our strategic initiatives. The team works in a highly collaborative environment. The focus on this new role is with the firm’s Lifecycle Engagement Function (Talent Attraction, Firm Engagement, and Alumni Relations), principally with the Alumni Relations function.
Hiring locations include Madrid, Brussels, London, Lisbon, Warsaw.
As a People Analytics and Measurement Data Analytics Specialist, you will work directly with the Alumni Relations Team to support its strategy and mission, and drive its analytical agenda to deliver meaningful innovation and impact in analytics.
You will proactively leverage existing data and help develop the foundation for the future data infrastructure by identifying new data sources that will provide insights on the firm’s program and services, which supports 55,000 alumni worldwide.
You will develop digital products that support ROI and KPI measurement, develop fluency in extracting, cleaning, and analyzing demographic, engagement, and psychographic alumni data from multiple sources to provide insights, models, and real-time visualizations that measure ROI and KPIs related to program effectiveness. You will also create algorithms to support alumni engagement measures and indicators that reflect individual alums’ relationships with our firm more broadly, and predictive analytics to aid in strategic decision-making. You will communicate the results of the analyses, helping the team understand the findings and identifying new opportunities to leverage and enhance analytic capabilities.
You will have the opportunity to gain new skills and build on the strengths you bring to the firm through direct mentorship, training, and coaching provided by other People Analytics and Measurement data analysts, data scientists, and data engineers.
Minimum Requirements:
- Bachelor’s or master’s degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or similar field
- 4+ years of professional experience in applied analytics or research
- Success as an individual contributor within a broader team
- Solid analytical and data management skills
- Ability to plan, prioritize and manage multiple projects, and to work effectively under pressure and with shifting priorities
- Flexibility in working style, willingness to collaborate with a team virtually, and ability to work independently based on project and other circumstances
- Ability to synthesize quantitative and qualitative findings into actionable insights and communicate them effectively
- Understanding of digital product lifecycle
- Technical and analytical experience, including analytical tools and software such as R (preferred), Python, Tableau, Alteryx, Knime, or other programming experience
- Proficiency in SQL, including experience retrieving data from relational databases
- Exploratory data analysis, including web analytics platforms, to understand the characteristics of a data set and identify patterns
- Intuitive understanding of what the analysis implies and how it would be affected by changes in assumptions
- Comfort in dealing with ambiguity, making assumptions, and drawing conclusions
- Work experience with real-world data, including extracting it from production databases like Oracle, SQL Server, Snowflake, AWS, and cleaning it to create analytically tractable data sets
- Familiarity with software development methodologies like Agile, including issue/workflow tracking tools like Jira and Trello, and version control tools like git and GitHub
- Experience with visualizing data using ggplot2, matplotlib, d3.js, Tableau, or similar software
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Data Analytics Specialist, London employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Specialist, London
✨Tip Number 1
Familiarize yourself with the specific analytical tools mentioned in the job description, such as R, Python, and SQL. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during the interview.
✨Tip Number 2
Showcase your ability to work collaboratively by preparing examples of past projects where you successfully contributed to a team. Highlight how you managed multiple priorities and adapted to changing circumstances, as this role emphasizes teamwork and flexibility.
✨Tip Number 3
Research the firm’s Alumni Relations function and understand its strategic goals. Being able to discuss how your analytical skills can directly support their mission will set you apart and show your genuine interest in the role.
✨Tip Number 4
Prepare to discuss your experience with real-world data and how you've handled ambiguity in past projects. This role requires comfort with uncertainty, so sharing specific examples will help illustrate your problem-solving abilities.
We think you need these skills to ace Data Analytics Specialist, London
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Analytics Specialist position. Understand the key responsibilities, required skills, and how your experience aligns with the role.
Tailor Your CV: Customize your CV to highlight relevant experience in data analytics, particularly focusing on your work with alumni relations or similar functions. Emphasize your technical skills in R, Python, SQL, and any experience with data visualization tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the firm's mission. Mention specific projects or experiences that demonstrate your ability to drive analytical agendas and deliver insights.
Highlight Collaborative Experience: Since the role emphasizes collaboration, include examples in your application that demonstrate your ability to work effectively within a team, especially in virtual settings. This could be through past projects or roles where teamwork was essential.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of your analytical work. Highlight how you've used tools like R, Python, or SQL to extract and analyze data, and be ready to explain the impact of your findings on previous projects.
✨Demonstrate Collaboration Experience
Since the role emphasizes teamwork, share experiences where you successfully collaborated with others. Discuss how you contributed to team goals and how you adapted to different working styles, especially in virtual settings.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge and problem-solving abilities. Brush up on exploratory data analysis techniques and be ready to discuss how you would approach cleaning and visualizing data from various sources.
✨Communicate Insights Effectively
Practice explaining complex data insights in a clear and concise manner. Think about how you can translate quantitative findings into actionable recommendations that align with the firm's strategic initiatives.
