• Accurately entering and updating large volumes of information into company databases and computer systems. • Verifying data for accuracy and completeness, identifying and correcting any errors or inconsistencies. • Reviewing source documents for deficiencies and resolving discrepancies by using standard procedures or returning incomplete documents to the team leader for resolution. • Maintaining the confidentiality and security of all company and client data. • Generating reports, storing completed work in designated locations, and performing backup operations. • Complying with data integrity and security policies to ensure data is handled responsibly. • Collaborating with team members to ensure company-wide data consistency and quality.

Role Description We are seeking a skilled Data Analyst to design and analyze A/B tests, uncover data-driven insights using Python, and deliver actionable recommendations that shape product strategy. You will collaborate closely with product teams, develop impactful dashboards, and drive continuous improvements in both product and data processes. Responsibilities - A/B Testing: Validate and analyze A/B tests to assess feature performance, user engagement, and design effectiveness, delivering clear, actionable recommendations. - Data Analysis: Conduct in-depth analysis using Python to uncover trends, patterns, and insights that drive product innovation and strategic decisions. - Collaboration: Work closely with product managers and domain experts to understand business goals and translate them into analytical outcomes. - Reporting: Build and present reports and dashboards that clearly communicate insights to stakeholders and support data-driven decision-making. - Continuous Improvement: Identify opportunities to optimize products and enhance data collection and analysis processes. Qualifications - Strong statistical analysis skills and experience with A/B testing methodologies. - Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, or a related field. - Proven experience as a Data Analyst. - Experience with data analysis and visualization tools, and proficiency in programming languages such as Python. - Proficiency in using SQL. - Familiarity with BI tools, preferably with Power BI. - Upper-intermediate English level. - Excellent communication skills with the ability to present complex data insights to non-technical stakeholders. - Strong problem-solving skills and attention to detail. Benefits - Quarterly bonuses based on Company performance. - 24 working days of annual leave. - Corporate events and team building activities. - Udemy Business unlimited membership & language training courses. - Professional and personal development opportunities in a fast-growing environment.

Role Description Our client is hiring detail-oriented Marketing Data Entry Specialists to support their media buying and operations team. This role is primarily focused on inputting and maintaining Meta Ads data into internal dashboards and Google Sheets. This is not a creative marketing role—it is a precision-based, execution role where accuracy and consistency are critical. You’ll be handling structured, repetitive tasks that directly impact reporting and campaign performance tracking. Responsibilities - Accurately input Meta Ads data into dashboards and Google Sheets - Maintain and update campaign data (spend, performance metrics, campaign structure) - Review data for errors, inconsistencies, and missing information - Follow SOPs for data entry and reporting workflows - Support general administrative and data-related tasks - Ensure data is clean, organized, and up to date for the media buying team Qualifications - Fluent English with clear, neutral, and professional verbal communication - Proficiency in Google Sheets or Excel - Experience with Meta Ads or marketing data (preferred) - Familiarity with metrics such as CPA, CPC, and ROAS (preferred) - Previous experience handling or inputting ad performance data - Strong attention to detail and high level of accuracy - Proven experience in data entry or administrative role - Ability to follow structured, repetitive processes consistently Requirements - Available to work on weekends in any of these shifts: - Shift 1: 3:00 PM - 11:00 PM EST (Mon-Fri) - Shift 2: 8:00 AM – 4:00 PM (Weekends only) - (Please indicate your availability when applying.) Compensation - $8/hour – 16-hour schedule (weekends only): Approximate monthly earnings: $520 - $8/hour – 40-hour schedule (Monday–Friday): Approximate monthly earnings: $1,280

• Enter basic data into the systems, databases or spreadsheets • Use software tools such as Excel, Word, and Google Sheets • Continuously improve knowledge of products, services, and processes by participating in training programs and continuous learning modules • Collaborate with other departments as needed to resolve issues • Maintain a positive, empathetic, and professional attitude toward customers and colleagues at all times • Adhere to company policies and procedures • Meet or exceed performance targets for related KPIs