Lead Insights Analyst (Remote)

AI overview

Lead the Insights team to provide in-depth analyses and build data products that drive profit performance across diverse business areas.

The Role

We are expanding our Analytics function and are seeking an Lead Insights Analyst to join our dynamic and growing Insights team. The ideal candidate will be someone who has a strong analytical mindset, a passion for data-driven decision-making, and is equally passionate about translating complex data into actionable business insights as they are about supporting the growth of their direct reports.

You will manage an insights analyst, based in India and liaise with your counterparts in the UK.  Additionally, you will be dedicated to a specific business area working with its General Manager (and their team members) to provide in-depth analysis and build data products to help them make decisions to improve profit performance.  You will also represent the wider Data Team (Engineers, BI Analysts, Data Scientists) to the General Manager, and support them with any data-related query they may have.  You will collaborate closely with the other insights analysts in the Insights team, who are based in both India and the UK.  You will become the data expert for your vertical and will provide recommendations based on data trends and patterns.

This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics. If this opportunity excites you, we encourage you to apply.

What you’ll do

  • Investigate performance, trends, forecasts and bugs across multiple traffic sources and user journeys, reporting back to stakeholders with recommendations
  • Collaborate with product and development teams to understand and gather their requirements, translating them into technical data requirements.
  • Contribute to reporting and ad-hoc data requests from the General Manager of your dedicated business area and members of their team.
  • Accelerate the organisation from basic reporting and analysis to predictive/prescriptive analytics by outputting data products that can be used to generate reusable insights
  • Act as the primary data contact for your business area, working with the General Manager and members of their team to gather requirements, prioritise projects and communicate progress on a regular basis.
  • Communicate and answer questions based on your findings and recommendations to an audience of technical and non-technical stakeholders of multiple seniority levels.
  • Support your direct reports alongside other senior members of the Insights team to answer any technical questions and prioritise work based on value driven to the business
  • Manage time effectively and prioritise tasks based on value driven to the business
  • Strike the balance between maintaining high standards of analytical work and delivering value consistently

        What you’ll bring:

  • 4+ years of experience in data analytics, with 1+ years in a leadership, management, or senior mentoring role.
  • Expert-level SQL skills, including advanced functions and a deep understanding of how to query large, complex datasets.
  • Experience with Python on either statistical analysis or data science concepts.
  • Familiarity with data from Google Analytics (GA4) and Ad platforms (Google Ads, Meta, TikTok, Taboola, Outbrain etc)
  • Ability to translate findings into recommendations to stakeholders at multiple levels of seniority in a clear and concise manner
  • Ability to communicate data to non-technical audiences through the use of reports and visualisations
  • Able to prioritise across different projects to focus on the highest-impact work and communicate those priorities to junior team members and/or stakeholders
  • High level of attention to detail, along with the ability to “zoom out” to consider the larger goals
  • Excellent communication skills and proven ability to work cross-functionally across global teams.

        Nice to have:

  • Experience collaborating with data scientists on ML workflows and experimentation platforms a plus
  • Experience in GCP
  • Experience working in agile environments, including sprint planning and ticket scoping

        Why join us:

  • Monthly long weekends - every third Friday off.
  • Wellness stipend and comprehensive parental-leave policies.
  • Remote-first culture with flexible hours and a high-trust environment.
  • Opportunity to shape a world-class data platform inside a trusted global brand.
  • Work with talented engineers, analysts and media leads inside a globally trusted brand.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-NM1

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Remote-first culture with flexible hours and a high-trust environment.
  • 4-Day Workweek: Monthly long weekends - every third Friday off.
  • Wellness Stipend: Wellness stipend and comprehensive parental-leave policies.

Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices. 

View all jobs
Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Insights Analyst Q&A's
Report this job
Apply for this job