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.

• Manage initiatives to improve data product offering work with engineering or use AI tools to define problems, shape solutions, and ship • Investigate data quality issues independently and own the full feedback loop, from root cause to resolution to clear communication with Customer Success and customers (joining customer calls, providing written resolution notes, etc) • Design QA procedures to proactively identify and prevent data integrity issues • Build repeatable, automated checks to reduce reliance on manual investigation

• Partner with Prior Authorization leadership to develop operational reporting and KPI frameworks • Build dashboards, reports, and performance tracking tools • Write and optimize SQL queries to support operational analytics initiatives • Create and maintain views and datasets within Snowflake • Conduct ad hoc analyses to support business decisions and operational improvement initiatives • Identify trends, workflow gaps, and performance opportunities through data analysis • Translate operational needs into scalable reporting solutions • Support process improvement and operational optimization initiatives • Ensure data accuracy and usability across reporting workflows.