• Create, validate and setup data strategy for marketing acquisition team across budget and performance with an eye towards future-proofing • Ensure data integrity and compliance with privacy regulations • Lead development and drive evolution of dashboards, reports, and KPIs to track marketing performance • Collect, analyze, and interpret marketing data from multiple sources (CRM, digital platforms, sales reports) • Create and organize complex data in excel spreadsheets to enable analysis • Collaborate with cross-functional teams (Marketing, Sales, Finance) to align analytics with business objectives • Provide actionable insights to improve customer acquisition, retention, and engagement • Support forecasting, budgeting, and ROI analysis for marketing initiatives

Role Description Design and build analytic solutions that will inform business decisions, drive operations, measure our performance and demonstrate our value as a company. This analytics professional services as a business partner to our Member Outreach, Provider Networks, Gaps in Care or Clinical Operations stakeholders, ensuring analytic insights are delivered as committed in a way that adds value. - Analyze operational data, generate insightful reports, and provide actionable recommendations to improve efficiency, quality, and overall performance. - Collaborate with cross-functional teams to understand operational needs and contribute to the development of effective reporting and analytics solutions. - Work with complex healthcare data and communicate findings to the team. - Establish credibility and trusted working partnerships with clinical, operational, and research leaders. - Provide consultative analytics to support cases for change. - Architect and develop complex analytics and reporting solutions. - Implement and configure reporting technologies in the Google tech stack, using DBT and SQL. - Perform complex descriptive analyses over production-scale data sets to drive business decisions. - Build-out real-time reporting (both tabular and visual) and work with data tooling across Clinical, Product, Network, and Market. - Design reports to steer value-driven business lines, including traditional and non-traditional success metrics. - Ensure data quality and validation, utilizing data cleansing techniques. - Drive automation capabilities into reporting solutions. - Retain analytics repository and relevant documentation. - Support professional growth and training of team analysts. - Document and maintain domain-specific analytics roadmap. - Deliver analytics supporting business needs and customer satisfaction. - Identify and value new opportunities to improve care and/or operations. Qualifications - 5 years experience in advanced analytics, delivering actionable insights from data, database, and big data analytics environments. - 2 years experience with business intelligence (data visualization and dashboarding) such as Tableau, Looker, and multiple scripting languages (SQL, Scala, R, Python, etc). - Bachelor's degree. Requirements - Familiarity with the Google analytics tech stack is a plus (BigQuery, Looker). Benefits - Health insurance. - Life insurance. - Retirement benefits. - Participation in the company’s equity program. - Paid time off, including vacation and sick leave. Company Description Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic. The expected salary range for this position is: $139,000.00 - $183,000.00 Annual.

Role Description The Data Analytics Senior Consultant I will develop, maintain, and continuously improve predictive models and operational forecasts for Claims demand and capacity, ensuring accurate and consistent outputs. The analyst will ensure integrity by implementing systematic improvements that automate, streamline, and modernize the process, data visualization, and business intelligence to ease the communication of one source of truth for data across the Claims Workflow organization. Key Responsibilities - Design, build, populate, and own medium to high complexity predictive models. - Ideate and implement creative forecasting concepts to gain efficiencies, best depict information, and craft action plans to improve overall business processes. - Collaboration and communication with stakeholders, product owners, and scrum team members. - Provide high quality forecasts to support stakeholders' performance initiatives. - Build and support Python workflows for operational forecasting and reporting. - Query and transform datasets using Python & SQL to create modeling datasets. - Perform data validation, reconciliation, and anomaly detection. - Monitor and maintain predictive models, including reruns and backfills. - Automate manual and spreadsheet-based processes. - Translate business questions into scalable analytical solutions. - Peer-to-peer cross training. Qualifications - Advanced Python for data analysis and automation (pandas). - 2 years of hands-on data reporting. - Advanced SQL (joins, aggregations, window functions). - Experience working with large or complex datasets. - Experience delivering accurate data sources. Preferred Qualifications - Experience building and implementing short and long-term demand and capacity forecasting models. - Experience with predictive staffing models preferred. - Intermediate to advanced ability to build forecasts and/or technical tools, using a variety of data reporting and visualization software. - Intermediate technical knowledge with data management processes (i.e., data flow within systems, data mapping, etc.) and/or experience with integrating data from multiple sources, including databases, unstructured data, and/or other enterprise data stores. - Comprehensive knowledge of forecast reporting and business knowledge (financial skills, follow the numbers). - Advanced proficiency in querying, compiling, analyzing, and integrating information from different sources to make data informative and form a recommendation. - Demonstrated ability to work with numbers and develop medium to high complexity formulas. - Advanced PC skills including Excel, PowerPoint, and Word. - Exceptional interpersonal skills to work effectively in a virtual team environment. - Effective time management and organization skills. - Strong oral and written communication skills. Compensation Compensation offered for this role is $70,100.00 - $121,475.00 annually and is based on experience and qualifications.

• Provide descriptive and diagnostic analysis to inform product decision-making, evaluate performance and make tactical recommendations. • Support and guide project-based work using analytic tools to produce datasets for analysis. • Use BI tools to empower end users with timely, accurate and informative data and visualizations. • Design dashboards to monitor KPIs and business drivers and ensure all metrics are consistent with business strategy. • Discuss questions and hypotheses with external and internal customers based on deep data analysis, and act as the G2 Data SME, turn them into analysis and insights. • Lead team discussions and collaborates with technical and non-technical team members to solve business problems. • Provide guidance and coaching to jr. team members, helping them understand complex datasets/models/business requirements. • Identify opportunities to improve our reporting and additional data management tasks you discover in your analysis.