• Read simulated advertiser-AI conversations and evaluate the technical accuracy of the chatbot's recommendations. • Fact-check platform strategies against correct campaign structures (campaign > ad set > ad hierarchy) and full-funnel objectives (awareness, consideration, conversion). • Interpret data to ensure performance metrics (CPR, CPM, CPC, ROAS, frequency) logically support the AI's advice. • Use critical thinking to flag inaccurate, misleading, outdated, or hallucinated AI responses. • Write clear, actionable feedback to correct errors and improve model performance. (Full training provided)

• Identification and classification of relevant advertising from various media (e.g. TV, print, radio, digital, etc.) • Coding of advertising motifs according to the Nielsen market classification system • Various tasks for quality assurance and closing deadlines • Compliance with agreed productivity and quality targets

Role Description We are seeking a thoughtful and dedicated data analyst to join our team at Tabeo. As a data analyst, you will be key to shaping the success of the company as we continue to grow our product suite and revenues. The role will sit in a 4 person data team covering all products in the business so the work will be varied beyond commercial. - You will be expected to own performance and projects and bring new ideas. - Your time will be split between task exploration, coding, and presenting. - It’s important to be able to discern what is important in the data you have and to explain compellingly to others. - A good analyst automates repeating tasks to free up time for high impact projects. Qualifications - Bachelor’s degree, preferably in maths or science obtained from an accredited and certified institute. - Fluent in English. - Organised, meticulous, and great time management. - Able to communicate complex analysis to non-data savvy business users. - Ability to deliver on tight deadlines. - Able to grasp commercial concepts quickly and carry out analysis independently. - Flexibility is a must; we work in a fast-paced environment and are growing very quickly. Requirements - Happy and willing to communicate, because data means nothing until it’s put into action. - Extremely comfortable building models in Excel / Google Sheets. - Strong experience in data extraction and manipulation using SQL. - Proficiency in building models using statistical tools (e.g., Python, R, SAS, or similar). - Able to take ownership and manage projects to the end. - Experience with git, BigQuery, DBT, Stripe Sigma would all be valuable. - Experience in lending or payments would be prized. Benefits - Competitive salary. - Remote-first working. - £2,000 annual training and development budget. - Fully equipped home-office setup. - AXA Business Health private medical cover (UK), including dental, optical, life assurance, wellbeing support, and gym discounts. - Electric car scheme. - 24 days’ annual leave plus birthday off. - Enhanced parental leave. - Fertility treatment leave (up to 5 days per year). - Contributing pension scheme (UK). - Company trips, offsites, and team get-togethers we actually look forward to!

Role Description Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organisation. A successful applicant will be passionate about technology and developing a deep understanding of human behaviour in the real world. They would also have excellent communication skills, be able to synthesise and present complex information and be a fast learner. Location: Remote, India - Define proper measurable metrics/variables for analyzing business problem and provide actionable recommendations - Own a work stream completely, come up with interesting findings from data on your own - Identify problems within an area and find solutions to it - Frame out various hypotheses to solve root cause analysis problem - Put tested hypothesis together to present a story/analysis to larger group/stakeholders - Data Preparation: Exploratory Data Analysis (EDA) and feature engineering. - Supervised vs. Unsupervised Learning: Understanding models that learn from labeled data (e.g., classification, regression) vs. discovering patterns in unlabeled data (e.g., clustering). - Evaluation Metrics: Knowing how to test model accuracy, precision, and recall - Has done one/many of these in previous/existing role: Root cause analysis, segmentation, clustering, linear regression, forecasting etc. - Actively work/coordinate with data science/ data engineering to understand best practices used for coding/scripting and implement them within the team - Actively discuss with different teams (Product, data science) to understand objective/business context of various projects Qualifications - B.Tech degree (4 year) in Computer Science, Statistics, Mathematics, Economics or related fields - 6 to 8 years of experience in working with data and conducting statistical and/or numerical analysis - Ability to write SQL code (Advanced level) - Strong hands-on experience on Python - Using Jupyter Notebooks for EDA, root cause analysis - Strong understanding of statistics - Hands on experience in data visualisation tool like Looker/Tableau/Quicksight - Strong understanding of patterns/trends and draw insights from those - Ability to tell a good story and support it with numbers and visuals - Strong hold of handling instances that require root cause analysis/investigatory analysis - Be willing and able to quickly learn about new businesses, database technologies and analysis techniques - Go out of your way to help team members enhance technical skills - Strong oral and written communication Requirements - Cross functional background with experience in software development/data engineering role - Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) - Exposure to AWS infra like lambda, step functions, Glue, EMR, exposure to Pyspark - Experience working with large datasets - Thorough understanding of machine learning concepts Benefits - Parental leave- Maternity and Paternity - Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays) - In Office Daily Catered Breakfast, Lunch, Snacks and Beverages - Health cover for any hospitalization. Covers both nuclear family and parents - Tele-med for free doctor consultation, discounts on health checkups and medicines - Wellness/Gym Reimbursement - Pet Expense Reimbursement - Childcare Expenses and reimbursements - Employee referral program - Education reimbursement program - Skill development program - Cell phone reimbursement (Mobile Subsidy program) - Internet reimbursement/Postpaid cell phone bill/or both - Employee Provident Fund Scheme offering different tax saving options such as Voluntary Provident Fund and employee and employer contribution up to 12% Basic - Creche reimbursement - Co-working space reimbursement - National Pension System employer match - Meal card for tax benefit - Special benefits on salary account