• You will develop, maintain, and enhance reporting, dashboards, and analytical solutions that provide clear, actionable insights across TLC’s operational, client, and product environments. • You will analyse business, campaign, loyalty, and customer engagement data to identify trends, opportunities, risks, and areas for optimisation, supporting KPI tracking, commercial analysis, forecasting, and data-driven decision-making across the organisation. • You will work with data from Snowflake and connected operational systems to transform, analyse, and model data into trusted, business-ready datasets and semantic layers that support scalable reporting and self-service analytics. • You will help ensure data is accurate, structured, documented, and optimised for insight generation across the business. • You will contribute to improving reporting processes, dashboard usability, automation, and analytical workflows across TLC’s modern data environment. • You will support the adoption of AI-enabled analytics, intelligent workflows, and AI-assisted tooling to improve efficiency, accessibility of insights, and decision-making, while helping evolve future predictive and advanced analytical capabilities. • You will work closely with Product, Technology, Client Services, Commercial, and Leadership teams to understand business requirements, translate them into analytical solutions, and communicate insights clearly to both technical and non-technical stakeholders. • You will help maintain high standards of data accuracy, consistency, governance, and reporting best practices across TLC’s analytics environment. • You will support analysis across TLC’s operational ecosystem, including COSMOS, Mixpanel, campaign platforms, and third-party systems, helping deliver trusted insights into operational performance, programme effectiveness, and customer engagement.

• Consolidate and link data across partner APIs, internal databases, and partner-facing portals to build a coherent picture of program performance • Build and maintain dashboards (in Redash or similar) covering registration numbers, enrollment funnel analyses, and other key program metrics • Manually collect interval usage data from after demand response events, and help develop processes to make this collection faster and more reliable over time • Identify gaps, inconsistencies, and opportunities for automation in our residential data pipelines, and flag them so we can fix them

• Own recurring reporting across Sales, Marketing, and CS: pipeline, win rates, ARR, funnel performance, churn/retention metrics, and usage data • Build and maintain reporting infrastructure in Looker Studio, BigQuery, and Salesforce • Ensure reports are accurate, timely, and accessible to the right stakeholders • Identify trends and surface insights proactively — don't wait to be asked • Design and build standard and mid-complexity dashboards for GTM stakeholders • Collaborate with the Senior Director on architecture for high-visibility exec-facing dashboards • Establish dashboard standards: naming conventions, refresh cadences, data source documentation • Maintain a self-service reporting culture — build dashboards people can trust and use without hand-holding • Identify and eliminate manual, repetitive processes across the BD&I team and GTM stakeholders • Build automated workflows in Salesforce, Looker Studio, and adjacent tools • Document automation logic and maintain operational runbooks for key recurring processes • Own complex and ambiguous ad hoc requests • Translate business questions into clear analytical frameworks and communicate findings clearly — in writing, in dashboards, and in live settings • Serve as the escalation point for data quality and SFDC issues — investigate root causes and drive resolution • Establish and enforce data standards across reporting domains you own • Ensure GTM KPI definitions are consistent and documented

Role Description We’re looking for a Senior Data Analyst to join our Business Analytics Engineering team. In this role, you’ll be working with cutting-edge online advertising technology and delivering top-notch data transformations, analytics, and visualizations. Our advertising spans billions of requests across thousands of dimension attributes handled by dozens of applications. Understanding the flow of data and integration points will be crucial to building representations ranging from high-level summary insights to low-level minutiae. - Become an expert on MNTN platforms, UI, databases, data pipelines, and advertising ecosystem to enable thoughtful problem-solving with a well-rounded perspective on data sources, system dependencies, and business outcomes. - Data Modeling: Apply a deep understanding of data structures and flow to design scalable data models that translate complex business and product logic into efficient code, resulting in clean and accurate tables that support both analytical and operational reporting. - Reporting & Analytics: Conduct regular data analysis and present insightful reports to internal stakeholders. Deliver high-quality, repeatable dashboards and analytics solutions. - Incident Investigation: Investigate, triage, and debug data incidents to find root causes and propose prompt, effective resolutions. - Cross-Functional Collaboration: Work closely with teams throughout the company to translate data findings into actionable insights and recommendations. Qualifications - 5+ years experience in data analytics or similar. - 2+ years experience in marketing or product analytics. - 2+ years experience in Tableau or a similar dashboarding tool. - Experienced with high volume (100M+ records) environments or data warehousing. - Extensive SQL experience with the ability to write scalable, maintainable queries. - Working knowledge of database definition language to create and manage your own datasets. - Working knowledge of ETL concepts. - Advanced Excel/spreadsheet and analytical skills. - Demonstrated ability to create data visualizations for use in communication with others through reports and dashboards. - A self-starter attitude and ability to work in a fast-paced but fun environment. - Ability to multi-task, be extremely detail-oriented, and thrive in an entrepreneurial environment characterized by growth and change. - Ability to manage multiple stakeholders and multiple priorities. Requirements - Bonus: Project management and organizational skills. - Bonus: 2+ years experience in martech or adtech with a demonstrable understanding of ad buying, attribution, and analytics. Benefits - 100% remote within the US - Flexible vacation policy - Annual vacation allowance for travel related expenses - Three-day weekend every month of the year - Competitive compensation - 100% healthcare coverage - 401k plan - Flexible Spending Account (FSA) for dependent, medical, and dental care - Access to coaching, therapy, and professional development