Role Description We are currently looking for top talent to fill the role below: - Role: Data Migration & Data Quality Analyst - Monthly Rate: $1250-1600 - Availability: Part-time/Full-time - 40 hours/week - Time Zone: EST To streamline your application, please carefully review and complete ALL THREE items below before proceeding to the application form. What to Prepare: - English Proficiency Rating: Enter your CEFR English proficiency level in the application form. If you’re unsure of your rating, you can take a quick assessment here: EF SET Quick Check. - Coconut VA Profile (Resume): Create your Coconut VA profile using this template: Coconut VA Profile Template. YOUR RESUME MUST FOLLOW THIS FORMAT AND SHOULD BE IN ENGLISH. - 1-Minute Introduction Video: Record a short introduction video (preferably using Loom) and provide the link in your application. By submitting your video, you grant Coconut permission to share it on our platforms. Qualifications - 2–6+ years of experience in data analysis, data migration, or data quality roles - Strong proficiency in SQL and data querying - Experience with data transformation and ETL processes Requirements - Support end-to-end data migration efforts between legacy and target systems - Extract, map, transform, and load (ETL) data according to defined business and technical requirements - Document data mapping, transformation rules, and migration logic - Validate migrated data to ensure completeness, accuracy, and consistency - Analyze and identify data inconsistencies, duplicates, and errors in existing systems - Perform data cleanup activities to standardize and enrich datasets - Implement data quality checks, validation rules, and monitoring processes - Collaborate with business teams to define data standards and governance practices - Investigate and troubleshoot data discrepancies across systems - Perform root cause analysis and recommend corrective actions - Support ongoing data reconciliation and balancing activities - Create reports and dashboards to highlight data quality metrics - Work closely with IT, business analysts, and functional teams to understand data requirements - Translate business requirements into technical data specifications - Maintain clear documentation of data processes, definitions, and standards - Participate in testing cycles (UAT, system testing) related to data migration Benefits - Competitive Salary – Recognizing your skills and experience with a great compensation package. - 13th Month Pay – Enjoy an extra month’s salary. - Paid Time Off – 12 days of PTO to use however you like. - US Holidays Off – 12 paid US holidays throughout the year. - Maternity & Paternity Leave – Dedicated leave for new parents. - Comprehensive Healthcare – Quality healthcare benefits for you and your family. - Life Insurance – Included in our full-time HMO plan. - Mental Health Support – Access to mental health consultations and wellness resources. - Milestone Gifts & Birthday Treats – Celebrating your achievements and special days. - Exciting Team Experiences – Island getaways, virtual town halls, and regional meetups. - Stay Connected – Be part of a supportive network for learning and growth.

• Develop a thorough understanding of the business context and objectives by eliciting and analyzing requirements from relevant stakeholders (business users, data engineers, data scientists, etc.) • Operationalize business questions using data. • Demonstrate understanding of relational databases, data architecture, and data modeling. • Build complex SQL statements to answer business questions. • Design conceptual data models, entity relationship diagrams, and business process models. • Transform and cleanse data using tools such as R, SQL, or Python. • Interpret, understand, and explain data insights to clients. • Manage and create dashboards (drag and drop) for storytelling of regular information reports and ad-hoc requests. • Build trust and respect, establish relationships, and develop rapport with technical and non-technical team members. • Document Data Analysis processes and outcomes. • Utilize industry or subject matter expertise (e.g., finance, employment, hospitality, web analytics).

Role Description We are seeking a detail-oriented and analytical Data Analyst to be a core contributor to our insights generation process. This role demands a deep technical aptitude for marketing data, a passion for efficiency through automation, and the ability to translate complex campaign performance metrics into clear, strategic business actions. You will collaborate with cross-functional teams including technical and account management both in India and the US, requiring strong English communication skills and the ability to work effectively across time zones. Key Responsibilities - Advanced Data Analysis & Insight Generation - Performance Diagnostics: Conduct detailed, multi-dimensional analysis of large campaign datasets to identify underlying performance drivers and diagnose variances across channels and creatives. - Trend & Anomaly Detection: Utilize analytical methods to detect significant trends and outliers in media KPIs (CPA, ROAS, volume), providing proactive alerts and hypotheses for performance changes. - Data Storytelling & Communication: Translate complex analytical findings into clear, compelling narratives that effectively communicate insights to key stakeholders. - Measurement & Modeling: Assist in developing and refining measurement frameworks to accurately attribute the value and impact of various media activities. - Automation & Reporting Infrastructure Development - GA4 Expertise: Configure, audit, and leverage data within Google Analytics 4 (GA4), ensuring reliable, event-based tracking and seamless integration with marketing platforms. - Scripting & Efficiency: Design and implement solutions for report automation, primarily utilizing Google Sheets/Excel formulas and scripting (e.g., Google Apps Script) to reduce manual effort and enhance scalability. - Dashboard Creation: Architect and maintain robust, self-service dashboards in visualization tools (e.g., Looker Studio, Tableau, or Power BI) to provide timely and contextually relevant performance views. - Stakeholder Collaboration & Data Integrity - Cross-Functional Alignment: Act as the primary analytical partner for technical and account management teams both in India and the US, translating business questions into analytical requirements. - Data Quality Assurance (DQA): Own the process for continuous monitoring and validation of data sources (API feeds, GA4, Ad Platform data) to ensure maximum accuracy and reliability in all reporting outputs. - Insight Communication: Develop structured, data-driven narratives and deliver compelling presentations that simplify sophisticated analytical findings into actionable recommendations for stakeholders. Qualifications - Educational Foundation: Bachelor's degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or Computer Science. - Experience: 3+ years of professional experience in digital marketing analysis, business intelligence, or performance measurement. - Technical Proficiency: - Analytics: Proven expertise in Google Analytics 4 (GA4) data structure, implementation, reporting, and troubleshooting. - Data Manipulation: Advanced proficiency in Google Sheets/Excel for modeling, manipulation, and report scripting (e.g., custom functions). Experience with both basic and advanced formulas to manipulate data. - Visualization: Proven expertise in data visualization and presentation, with the ability to transform complex metrics into clear, compelling visual narratives for stakeholder audiences. - Automation: Experience with tools like Apps Script, Supermetrics, Syncwith, or Looker Studio. - Digital Marketing: Demonstrates comprehensive knowledge of paid digital marketing platforms, with particular expertise in Google Ads and Meta advertising. Possesses strong analytical capabilities in campaign performance data interpretation. - Core Competencies: Exceptional quantitative and analytical skills with a demonstrated ability to move beyond simple reporting to generate strategic insights. Strong story-telling ability, using data to convey effectiveness of marketing efforts. - Communication: Excellent ability to communicate complex concepts clearly; strong English communication skills (written and verbal) for collaboration with US-based teams. Experience working with US-based teams and managing time zone differences. - Drive: Proactive, results-oriented mindset toward optimizing data processes. Preferred - Experience with SQL for querying relational databases. - Working knowledge of Javascript. - Experience with Looker Studio, Tableau, or Power BI is a plus. - Experience managing campaigns within Google and/or Meta Ads. - Experience working within Jira to manage tasks. Benefits - Compensation: 5 to 7 LPA. - Shift Timing: 3 PM IST to 12 AM IST / 4.30 AM to 1.30 PM EST. - Start Date: Early joiners preferred.

• Own the Corporate Dashboard Portfolio: Design, build, and maintain Tableau dashboards spanning key corporate metrics, with a primary focus on ARR, incremental ARR, net revenue retention (NRR), acquisition, upsell, downsell, and churn. • Deliver Analytical Insights: Go beyond reporting — proactively surface trends, anomalies, and opportunities across corporate and revenue data and present findings to senior leadership. • Partner with Stakeholders: Serve as the primary analytics point of contact for executive and cross-functional teams, translating business questions into data-driven answers. • Write and Optimize SQL: Query large-scale databases to extract, transform, and validate data for dashboards and ad hoc analyses. • Maintain Data Quality: Collaborate with data engineering to ensure upstream data pipelines produce accurate, timely inputs for reporting. • Drive Continuous Improvement: Identify opportunities to improve existing dashboards, automate manual reporting, and introduce new analytical capabilities — including AI-assisted tools where appropriate. • Document and Standardize: Establish clear definitions, data dictionaries, and best practices for corporate and ARR-related metrics across the organization.