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

Data Analyst Location: Arlington, Washington, United States Department:Government/Civilian General Information Requisition # 702 Locations USA-VA-Arlington Security Clearance Required - IRS - MBI Remote Type Hybrid Time Type Full time Job Description: Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: consulting with technical and non-technical stakeholders, exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python, developing and deploying data visualization dashboards, and communicating data analysis results, dashboards and reports to end-users Responsibilities include but are not limited to: - Experience with cleaning, management and processing large volumes of data. - Experience building dashboards and reports using data visualization tools including Power BI, and Tableau. - Strong analytical and problem-solving skills with the ability to identify and address complex data issues. - Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability. - Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Minimum Qualifications: - Strong analytical and problem-solving skills with the ability to identify and address complex data issues. - 2+ years of Data Analysis or Data Management experience. - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences - Clearance Required - Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. - Understanding of databases and familiarity with database design. Preferred Qualifications: - Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields - Ideally located in the DC Metro area to attend regularly scheduled meetings - Statistical/Predictive Analysis - Domain Expertise (fraud) or management Clearance Requirements: - Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: - Must be able to remain in a stationary position 50% - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

Title: Data Analyst Location: Arlington United States Job Description: Data Analyst General Information - Requisition #: 677 - Locations: USA-VA-Arlington - Posting Date: 03/04/2026 - Security Clearance Required: IRS - MBI - Remote Type: Hybrid - Time Type: Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: - Consulting with technical and non-technical stakeholders - Exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python - Developing and deploying data visualization dashboards - Communicating data analysis results, dashboards and reports to end-users Responsibilities include but are not limited to: - Experience with cleaning, management and processing large volumes of data - Experience building dashboards and reports using data visualization tools including Power BI, and Tableau - Strong analytical and problem-solving skills with the ability to identify and address complex data issues - Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability - Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels Minimum Qualifications - Strong analytical and problem-solving skills with the ability to identify and address complex data issues - 2+ years of Data Analysis or Data Management experience - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences Clearance Required - Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data - Understanding of databases and familiarity with database design Preferred Qualifications - Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields - Ideally located in the DC Metro area to attend regularly scheduled meetings - Statistical/Predictive Analysis Domain Expertise (fraud) or management Clearance Requirements - Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements - Must be able to remain in a stationary position 50% - Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. - Frequently communicates with co-workers, management, and customers, which may involve delivering presentations - Must be able to exchange accurate information in these situations About Elder Research, Inc - People Centered. Data Driven Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.