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

Role Description SafeGraph is a Data as a Service (DaaS) company with one focus: curating the most accurate, precise, and fresh points of interest (POI) database on the planet. We provide product builders, data scientists, and analytics teams with the location data they need to power site selection, transaction enrichment, advertising audiences, competitive intelligence, and more. You will play a critical role in shaping how our data products are built, validated, and trusted. This role combines product thinking with hands-on technical execution - you'll drive AI-powered product initiatives while owning the data quality processes our customers depend on. You'll sit on our Product team and work closely with Customer Success, Sales, and Engineering to identify data integrity risks early, accelerate investigations, and ship better data. Key Responsibilities - 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. Qualifications - 2-4 years in a technical product management or analytics role. - Strong expertise in data analysis (Python, SQL). - Experience in QA for datasets. - A bias for automating repetitive tasks and reproducibility. - Experience using AI tooling to accelerate data analysis, investigation, and documentation. - Professional-level English proficiency, as English is the primary working language across the company (documentation, Slack, meetings). Nice to Have - Experience owning or contributing to AI/ML-adjacent product initiatives. - Experience with large geospatial datasets. - Experience communicating directly with customers. What Success Looks Like - Robust QA processes set up. - AI product initiatives shipping without needing close management. - Data quality issues resolve faster, with fewer escalations to engineering and clear communication to CS and customers.

• Development and maintenance of dashboards in Power BI; • Creation of new reports and management KPIs; • Work with Microsoft Fabric; • Data modeling, transformation and cleansing; • Development of queries and transformations using M language (Power Query); • Creation and maintenance of DAX measures; • Structuring, standardization and data governance; • User support and operational maintenance of analytical environments; • Identification and implementation of continuous improvements in BI processes; • Refinement, consolidation and optimization of data repositories; • Ensure performance, quality and reliability of information; • Integration of different data sources.

Role Description The Unconventional is seeking a qualified Language Instructor to support The Language Enabled Airman Program (LEAP) and the Air Force Culture and Language Center (AFCLC). LEAP is an AFCLC-managed, volunteer, career-spanning program that develops language-enabled, cross-culturally competent service members across the General Purpose Force (GPF) with working-level foreign language proficiency. Specific duties may include, but are not limited to: - Administer the eMentor curricula (syllabi and lesson plans) provided by the Client. - Prepare instructional aids (e.g., presentation slides, digital whiteboard content) and supporting open-source materials for each session. - Instructional aids shall be prepared IAW industry’s best practices for instructional quality and effectiveness. - Operate UCC platform tools including launching live sessions, managing audio/video, screen sharing, chat, and materials, support Scholar access and keyboard setup, adjust bandwidth settings, and troubleshoot routine technical issues during instruction. - Deliver instruction aligned with lesson objectives and plans, incorporating cultural, technical, military, and geopolitical content (including open-source materials) to support language development and mission-relevant understanding for Scholars at ILR Level 2 and above. - Provide one-on-one feedback, review homework and assessments, and monitor attendance to support Scholar language development and course progress. - Support OnDemand session scheduling functions in the Language Enabled Development Resource (LEaDeR) application by coordinating weekly schedule availability with the ISS. Qualifications - Must possess language skills in the target language(s) equivalent to an ILR Advanced Professional Proficiency or a “Superior” rating in speaking and writing on the American Council for the Teaching of Foreign Languages (ACTFL) proficiency scale for each language and dialect they will instruct. - Must hold at least a bachelor’s level degree in language instruction or a related social science field, such as History, Political Science, International Relations, Anthropology, Archeology, and Cultural Geography, and/or possess a minimum of five years of embedded experience in the target culture(s). - Must be capable of delivering instruction and conducting assessments across proficiency levels ranging from ILR level 0 through ILR Level 3+. - Extensive global regional expertise. - Extensive knowledge of foreign language teaching techniques and instructional systems. - Extensive knowledge of learning theory, the psychology of learning, educational psychology, and Instructional Product Development. - Extensive knowledge of instructional design practices, principles, techniques, and curriculum development. - Extensive knowledge of standardized, web-based, interactive course delivery systems. - Extensive expertise in instructor facilitation and faculty development. - Extensive knowledge of the use of computers in education and training. - Demonstrated knowledge and skill in multimedia design and delivery methods (e.g., imbedded video instruction). - General knowledge of and competency with Microsoft Office applications (e.g., Word, Excel, PowerPoint, Access), Adobe Acrobat Professional, and other common productivity software. - eMentors may be dual nationals who are native to regions where the language is commonly spoken and/or professional language instructors with demonstrated expertise in the relevant cultures and customs. Requirements - Must be able to pass a background check. Location - Montgomery, AL / Remote Travel - No travel required.