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For Companies At a Glance
- Tasks: Analyze product metrics and support data-driven decisions for internal tools.
- Company: Join GBO Engineering, a dynamic team within a leading ad sales organization.
- Benefits: Competitive pay at £50.00 p/h and a collaborative work environment.
- Why this job: Make an impact by driving product improvements and enhancing user experiences.
- Qualifications: Bachelor's degree and strong SQL skills required; analytical mindset is a must.
- Other info: 6-month contract with flexible working hours from 9am to 6pm.
Product Analyst
Location: UK, London
Length: 6 months
Rate: £50.00 p/h (Inside IR35)
Hours: 9am – 6pm
Overview:
- Project Overview: GBO Engineering is an embedded product and engineering team within Our Client’s ad sales organization (GBO). We build consumer-grade internal tooling for sales, marketing, and service teams.
- Our cross-functional team of engineers, designers, and product managers is responsible for internal platforms that support sales and marketing teams to run events, deliver professional services, and manage large, commercial deals with ads customers. These tools are part of a cohesive suite of internal tools that power the day-to-day workflows of sales and marketing and meaningfully drive business outcomes.
Overall Role Responsibilities:
- Partner with product and engineering to define and implement product metrics: baseline and ongoing measurement (e.g. scripts and dashboards). Support product initiatives with quantitative business and data insights.
- Act as a subject matter expert and technical leader in data extraction and manipulation, dashboarding/visualization, and analytical/statistical techniques. Validate insights, and translate them into recommendations to drive product improvement and/or accelerate behavioural change among our users.
- Work with business functions (Global Product Leads) to support operational work (marketing, change management).
Top 3 Daily Responsibilities:
- Build an understanding of user and system behaviour, and act as a thought leader to define robust KPIs for our tools that directly link to tool performance and impacts.
- Develop reporting dashboards for KPI monitoring and to support go-to-market activities; Provide supporting data and analysis to inform product development decisions.
- Format, re-structure, and validate data to ensure quality. Where needed, work with Engineers to obtain new tool signals, or with user teams to supplement missing data.
Mandatory Skills/Qualifications:
- Education: Bachelor’s degree or equivalent practical experience.
- Moderate-advanced SQL skills (including joins, aggregation, and window functions) and experience building dashboards to track metrics and visualize data.
- Experience defining new KPIs that drive behaviours aligned with business priorities.
- Knowledge of statistical analysis and different frameworks/methods for data analysis.
- Ability to handle large, complex data sets, with an analytical mindset.
Non-Essential Skills/Qualifications:
- Experience with project/program management, and/or go-to-market activities.
- Clear written and oral communication for both technical and non-technical audiences.
- Knowledge of Our Client’s Ads products, sales teams, and/or service teams.
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Product Analyst, Southend-on-Sea employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst, Southend-on-Sea
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, especially SQL and dashboarding tools. Being able to demonstrate your proficiency in these areas during the interview will set you apart from other candidates.
✨Tip Number 2
Prepare examples of how you've defined KPIs in previous roles. Be ready to discuss how these metrics impacted product performance and user behavior, as this aligns closely with the responsibilities of the Product Analyst position.
✨Tip Number 3
Research Our Client's Ads products and familiarize yourself with their sales and service teams. Understanding their business model and challenges will help you provide relevant insights and recommendations during your interview.
✨Tip Number 4
Practice explaining complex data analysis concepts in simple terms. Since the role requires clear communication with both technical and non-technical audiences, being able to convey your insights effectively will be crucial.
We think you need these skills to ace Product Analyst, Southend-on-Sea
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Product Analyst position. Make sure you understand the responsibilities and required skills, especially around SQL, data analysis, and KPI development.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your SQL proficiency, experience with dashboards, and any previous work with product metrics or data analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and product improvement. Mention specific examples of how you've used data insights to drive decisions in past roles, and express your enthusiasm for working with cross-functional teams.
Highlight Communication Skills: Since clear communication is essential for this role, make sure to provide examples in your application that demonstrate your ability to convey complex data insights to both technical and non-technical audiences.
How to prepare for a job interview at TN United Kingdom
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Product Analyst role and its responsibilities. Familiarize yourself with how product metrics are defined and implemented, as well as the importance of KPIs in driving tool performance.
✨Showcase Your SQL Skills
Since moderate-advanced SQL skills are mandatory, be prepared to discuss your experience with SQL, including joins, aggregation, and window functions. You might even be asked to solve a problem on the spot, so practice beforehand!
✨Prepare for Data Analysis Questions
Expect questions that assess your knowledge of statistical analysis and data manipulation techniques. Be ready to explain how you've handled large datasets in the past and how you validated insights to drive product improvements.
✨Communicate Clearly
You will need to communicate effectively with both technical and non-technical audiences. Practice explaining complex concepts in simple terms, and be prepared to discuss how you would present data insights to different stakeholders.
