Data & Automation Analyst
Location
United States
Posted
4 days ago
Salary
$80K - $100K / year
Seniority
Mid Level
Job Description
Data & Automation Analyst
rater8
Role Description As our Data & Automation Analyst, your primary specialty is analysis: mining rater8’s proprietary dataset to surface validated, decision-ready findings, proactively uncovering novel insights worth reporting on, and serving as the team’s analytical check before we act on the data. Beyond analysis, you’ll put that data to work building AI-powered automations that turn insights into personalized outreach and reporting, supporting marketing in crafting case studies and email campaigns. What you’ll do - Data Analysis & Reporting (Primary Specialty) - Serve as the team’s analytical check: stress-test findings, flag what does not hold up, and separate signal from noise so that only validated insights drive decisions. - Execute quantitative analysis of large datasets to uncover key market trends, customer behavior patterns, and competitive intelligence to drive business strategy for DataLabs. - Proactively mine rater8’s proprietary dataset to surface novel, defensible findings that go beyond the analyses other teams request, turning them into case studies, original reports, and thought leadership. - Validate and quality-check reports and analytical outputs before they ship, including our AI-assisted (RAD) reports, confirming the data and methodology hold up. - Write and enrich rater8’s database documentation so the dataset stays well understood, trusted, and reusable across teams. - AI Automation & Marketing Execution - Build and run our data-driven outreach engine: AI-powered, personalized email workflows that turn analysis like prospect Visibility Scores and patient sentiment into targeted campaigns, with marketing owning the design, copy, and positioning. - Implement and maintain API integrations (GPT, Azure OpenAI) within marketing automation tools to scale personalized outreach and reporting. - In partnership with the marketing team, translate data-driven insights into actionable marketing assets, contributing to calls-to-action (CTAs) and landing page content and coordinating with Web Development to maximize conversion rates. - Integration & Implementation - Serve as a technical resource for other departments, assisting in the design, modeling, and implementation of general business process automation improvements, potentially involving non-DataLabs systems or workflows. - Assist in testing and validation of newly deployed solutions to ensure they meet both business needs and technical requirements across different teams. - Provide ongoing technical support and updates to documentation as projects evolve and systems change. - Enable and upskill other teams to build and own their own automations, focusing on teaching and handing off rather than permanently maintaining workflows for them. - Project Management - Lead DataLabs projects from ideation through analytical testing and production deployment, ensuring alignment with measurable business impact. - Proactively engage with stakeholders across departments to identify high-impact opportunities, gather detailed requirements, and present findings, recommendations, and technical documentation. - Support overall project management activities by tracking project progress, risks, and issues, coordinating execution with measurable business impact. - Coordinate the production and delivery timeline for strategic content assets, such as whitepapers and reports, by liaising with data analysts, writers, and marketing teams to ensure data accuracy and timely publication. - Process Mapping & Improvement - Review, analyze, and model business processes and information flows. Develop process maps and flowcharts to represent current and future state workflows, particularly those leveraging AI/automation. - Design and develop production-ready process improvements, focusing on sustainability, scalability, and measurable reduction in business inefficiency. - Maintain comprehensive technical documentation, process maps, and data flow diagrams for all workflows and systems. - Other Duties as Assigned Qualifications - Bachelor’s degree in a quantitative field such as Computer Science, Data Analytics, Statistics, Business Administration, or Finance. - 2 to 4 years of experience in a role such as Business Analyst, Project Coordinator, or Data Analyst, where aptitude and a self-starter mentality were key to success. - Proficiency in Python programming (comfortable writing scripts, working with APIs, and building backend systems) and working knowledge of SQL for data extraction and manipulation. - Systems thinking mindset; you naturally see how data flows and how pieces connect to design workflows that span multiple tools. - Strong analytical and problem-solving skills with a genuine curiosity about how data and AI can solve real business problems. - Healthy skepticism and strong judgment: able to pressure-test data, findings, and AI-generated output, and to confidently say when something does not hold up before it drives a decision. - Clear written and verbal communication, with the ability to explain analysis simply to non-technical stakeholders and collaborate across teams. - Experience with, or demonstrated willingness to quickly master, visual automation and integration platforms (e.g., Make.com, Zapier, n8n). - Familiarity with basic marketing concepts, including conversion funnels, A/B testing, landing pages, and the purpose of strong Calls-to-Action (CTAs). - Track record of quick mastery in new technical concepts and systems. - Must reside and be authorized to work in the U.S. without requiring sponsorship and must not currently reside in California. Compensation The expected salary range for this position is $80,000 to $100,000 annually. Actual compensation will be based on a candidate’s skills, qualifications, and years of relevant experience. Benefits - Smart, intellectually curious, creative, supportive, and overall awesome colleagues! - We are 100% fully remote! Work from anywhere in the U.S. with reliable Wi-Fi, within PST–EST time zones. - Medical, dental, and vision benefits. - Discounted pet insurance. - Unlimited PTO after 60 days of employment. - 401(k) after six months with company match. - Fast-track career advancement with a high-growth, Great Place to Work™ certified organization. - rater8 is a “bring your own device” company, enabling you to work on your preferred operating system; we offer a WFH stipend to offset costs per company guidelines.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Data Conversion Analyst – Epic, Bridges, Interfaces
Ellit GroupsPutting patients at the heart of healthcare digital transformation enabled by information technology.
• Translate business requirements into functional specifications and manage changes to specifications • Prioritize, coordinate, and implement system updates and requested changes • Review and test each new release; troubleshoot problems and questions from end users • Design and develop clinical and business interfaces in Epic and/or Oracle Health EMRs based on project scope and workflows • Ensure solutions follow scalable architecture, standard development practices, and project constraints • Mentor team members on integration and data conversion best practices • Provide technical guidance on small to medium efforts with limited supervision • Develop, support, and maintain system design documentation and build materials • Create detailed testing scripts across all phases of the testing lifecycle (functional, integration, mapped record, and/or parallel revenue cycle testing) • Perform daily monitoring of production interfaces • Adhere to system configuration and change control standards • Troubleshoot and resolve interface issues; escalate complex issues as needed
Role Description Join the Business Insurance Finance team and help transform data into meaningful business insights that drive strategic decision-making. As a Business Intelligence Analyst, you will: - Design and develop interactive Power BI dashboards. - Automate reporting processes. - Deliver analytics that support financial planning, business performance, and growth initiatives. Working closely with Finance and cross-functional business stakeholders, you will manage the full reporting lifecycle—from gathering requirements and validating data to building dashboards and presenting actionable insights. This role is ideal for someone with strong technical expertise in Power BI, SQL, and Excel who enjoys solving business problems through data. Qualifications - Years of experience in business intelligence, financial reporting, data analytics, or a related field. - Strong experience developing dashboards using Power BI, including DAX and data modeling. - Advanced Microsoft Excel skills, including PivotTables, Power Query, macros, data modeling, and complex formulas. - Strong SQL skills with the ability to write queries from scratch and manipulate large datasets. - Experience working with ODBC data connections, relational databases, and data warehouses. - Experience with VBA, Python, or other automation tools is preferred. - Strong analytical and problem-solving skills with excellent attention to detail. - Experience validating data quality and troubleshooting reporting issues. - Ability to communicate complex data insights clearly to business stakeholders. - Strong customer service mindset with the ability to manage multiple priorities and meet deadlines. - Insurance or financial services experience is a plus. Requirements - Design, develop, and maintain interactive Power BI dashboards and reports that support Finance and Business Insurance initiatives. - Partner with business stakeholders to gather reporting requirements and translate business needs into analytical solutions. - Build data models and develop DAX measures to deliver scalable, user-friendly dashboards. - Extract, clean, validate, and transform data from multiple sources using SQL, Power BI, Excel, and other reporting tools. - Develop automated reporting solutions using Excel macros, VBA, Python, or similar technologies. - Perform data quality analysis, identify inconsistencies, and implement corrective actions to ensure reporting accuracy. - Support financial planning, trend analysis, capital expense reporting, and business performance monitoring. - Build dynamic reporting models to support agent segmentation, promotions, profitability analysis, and strategic growth initiatives. - Collaborate with business and implementation teams to validate results and monitor post-launch performance. - Support system enhancements, testing activities, and reporting infrastructure improvements. - Clearly communicate technical findings and business insights to both technical and non-technical stakeholders. - Continuously improve reporting processes, dashboard usability, and data visualization standards. Benefits - Comprehensive benefits package. - Career development and training opportunities. - Flexible work arrangements. - Dynamic and inclusive work culture within a globally renowned group. - Private Health Insurance. - Pension Plan. - Paid Time Off. - Training & Development.
Principal Data Analyst
Cummins Inc.Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.
• Lead end-to-end SAP data migration activities across large-scale SAP S/4HANA transformation programs. • Analyze legacy data sources and SAP data models to define and execute source-to-target mappings for master and transactional data. • Perform data profiling, quality assessments, root cause analysis, and data validation to ensure completeness, consistency, and accuracy. • Drive data cleansing, enrichment, standardization, remediation, and reconciliation activities across multiple business functions. • Design, build, validate, and execute migration datasets using SAP migration tools including SAP BODS, BDC, and other approved migration technologies. • Develop reusable migration frameworks, automation capabilities, data quality controls, governance standards, and best practices to support scalable delivery. • Apply advanced analytical techniques to identify data quality, integrity, redundancy, and integration issues, recommending sustainable solutions across the data lifecycle. • Create dashboards, reports, metrics, and visualizations that provide actionable insights into data quality, migration readiness, risks, and program health. • Establish and monitor enterprise data quality metrics and support ongoing data governance initiatives and compliance requirements. • Support ETL development, transformation, load execution, mock conversions, dress rehearsals, cutover planning, production deployment, and post-go-live stabilization. • Collaborate closely with business stakeholders, SAP functional consultants, solution architects, technical teams, and program leadership to ensure successful migration outcomes. • Provide technical leadership, coaching, and mentoring to data analysts and project teams while promoting best practices in data management and governance.
Senior Data Analyst
RISKEmbrace risk secure success | Shaking up the global iGaming with unconventional solutions and the fastest market entry
• Own end-to-end analytical and reporting solutions: from business request clarification to data investigation, dashboard delivery, validation, and further optimization; • Build, maintain, and optimize automated reports and Tableau dashboards for business, product, marketing, and regional teams; • Monitor data quality by ensuring accuracy, consistency, and reliability of data across reports, dashboards, and reporting layers; • Identify, investigate, and resolve data discrepancies across data sources, dashboards, and business metrics; • Collaborate closely with stakeholders to clarify requirements, define success criteria, align metric logic, and ensure correct interpretation of data; • Analyze product and marketing performance, highlighting trends, anomalies, risks, and growth opportunities; • Analyze traffic efficiency, including ROI, LTV, conversion, retention, and funnel performance, to support data-driven decision-making; • Transform business questions into clear analytical approaches, reporting solutions, or actionable recommendations; • Improve reporting processes, optimize dashboard performance, and contribute to the scalability and usability of the analytics infrastructure; • Proactively identify areas where analytics can improve business efficiency, decision-making, or operational visibility; • Support less experienced analysts by sharing best practices in SQL, Tableau, data validation, and stakeholder communication.
