Role Description As a Data Analyst, you’ll turn complex customer and growth data into clear insights that guide decisions across Marketing, Product, and Commercial teams. You’ll design analyses, build dashboards, and support experiments that help us understand what drives acquisition, conversion, retention, and long-term customer value. You’ll have the chance to go beyond reporting: working on high-impact business questions, evaluating performance trends, and helping stakeholders understand what is truly moving the needle. This is a hands-on role with real ownership, where your work will be seen, used, and acted on. What You’ll Do - Design, analyze, and interpret A/B tests and quasi-experiments to inform marketing and growth decisions. - Build and maintain reliable dashboards and data models in Looker to support self-serve analytics across the business. - Explore customer behaviour across acquisition, retention, engagement, and lifecycle performance using data from Snowflake, Amplitude, and other sources. - Investigate changes in growth, conversion, and commercial performance to identify what is driving impact. - Work closely with Marketers, Product Managers, and cross-functional stakeholders to frame business questions, choose the right analytical approach, and communicate results clearly. - Share findings in a simple, visual way so stakeholders can act quickly and confidently. Qualifications - Around 3+ years of experience in data analytics, ideally in marketing, growth, product, e-commerce, or a similar business environment. - Confidence with SQL, including joining tables, building aggregations, and writing efficient queries. - Experience with BI / data visualisation tools (Looker preferred, but similar tools are fine). - Hands-on experience working with data warehouses (e.g. Snowflake or similar). - Practical experience with experimentation (A/B tests and/or quasi-experimental methods), either designing, analysing, or interpreting tests. - Clear communication skills – you can explain complex concepts in a simple, visual, and structured way. - Comfortable working in English in a distributed team. Nice-to-haves - Familiarity with Python or similar tools for deeper analysis. - Experience with Amplitude or other product analytics tools. - Previous experience in subscription, marketplace, DTC, or other data-rich consumer businesses. - Experience with cohort analysis, lifecycle analytics, funnel performance, or behavioural segmentation. How We Work – Location, Remote & Collaboration This role is remote within Portugal – we can hire you anywhere in PT, as long as you have the right to work here. We have a Lisbon office where you’re welcome to join collaboration days, workshops or social events, but regular office attendance is optional. We collaborate mainly during European business hours, with flexibility to organise your day in a way that works for you and your team. Benefits - Remote with optional office days. - 22 annual leave days + 2 extra days for every year of tenure (up to 6). - 5 training days per year. - Private health insurance provided by Tranquilidade. - Food allowance of 7.62€/worked day under by Coverflex. - 24/7 confidential employee assistance program.

Role Description As the Data Coordinator, you will play a key role in supporting our Development team and advancing our mission to end the abuse of animals raised for food. You will ensure the timely processing of gifts, accurate data updates, and the overall integrity of our donor data. Your work will be essential to ensure that our data is reliable, well maintained, and able to support strong donor relationships and drive meaningful impact. - Process and import third-party gifts. - Maintain high standards of data quality through ongoing database hygiene and oversight. - Support consistent data practices across systems. - Contribute to managing and updating process documentation. - Provide operational support to the team. This is a part-time, remote position reporting to the Development Operations Manager, with optional domestic and/or international travel, equivalent to 1 or more trips per year. Qualifications - Detail-oriented and process-driven thinker. - Strong attention to technical accuracy, organization, and data management. - Focus on producing reliable work, improving workflows, and creating clear documentation. Requirements - Comfortable using software tools for data tracking, reporting, and collaborative project management. - Experience with Google Sheets and/or Excel. - Direct experience supporting fundraising or development operations through the management of donor data in a CRM system. - Experience supporting fundraising or development operations, including working with donor data and gift processing. - Highly detail-oriented with strong planning and organization skills. - Able to engage with staff, donors, and external partners effectively. - Demonstrates a proactive approach to work and adaptability to changing priorities. - Able to identify issues and follow established processes to resolve them. - Ability to understand how organizational goals align with broader strategic objectives. - Approaches fundraising with an understanding of the global nature of the organization’s programs. Benefits - Salary range: $34,137–$41,723 for candidates in the USA. - Paid sick leave. - 401(k) retirement plan with matching. - Working from home. - Up to 16 weeks of paid parental leave for eligible employees. - Wellness benefits. - Paid holidays. - Flexible vacation time. - Professional development opportunities. - Supportive work environment.

Role Description We’re looking for a curious, technically strong, and business-minded Data Analyst to join our Data Engineering team. This is a high-impact analytics position for someone who works at the intersection of data engineering, business intelligence, finance analytics, and AI-enabled decision support. You’ll partner closely with Finance, Operations, Data Engineering, and business leadership to turn complex questions into trusted, actionable insights — with a particular focus on supporting the Finance organization. This role reports to the Data Engineering Manager. What You’ll Do - SQL & Business Analysis: - Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. - Own and deliver recurring financial reporting, reconciliation, and operational analytics with an eye for improving efficiency over time. - Diagnostic & Advanced Analytics: - Go beyond dashboards to explain why metrics move. - Conduct root cause analyses, build forecasting models, and support decision-making through churn analysis, customer segmentation, CLV, A/B testing, and similar techniques. - Business Intelligence & Self-Service Analytics: - Build, maintain, and optimize Looker dashboards, Explores, and LookML definitions that provide governed, reliable, self-service analytics. - Govern the semantic layer — metrics, dimensions, and business logic — that powers trusted reporting and AI-enabled analytics. - Train business users to leverage these tools confidently. - Finance Partnership & Compliance: - Serve as the primary analytical partner to the Finance team. - Own financial reporting, reconciliation, and forecasting workflows. - Support SOX audits and ITAC testing, ensuring financial data is accurate, auditable, and well-documented. - Data Quality & Cross-Functional Collaboration: - Monitor and improve data quality across analytical pipelines, especially for finance-critical datasets. - Gather requirements from stakeholders, translate business needs into technical specs, and collaborate with Data and Analytics Engineers to resolve upstream issues. Qualifications - 3+ years in a Data Analyst, Analytics Engineer, or BI Analyst role in a modern cloud data stack environment. - Advanced SQL including CTEs, window functions, joins, and performance-aware querying in Snowflake or a comparable cloud warehouse. - Hands-on experience with Looker: dashboard development, Explores, LookML, governed metrics, and enabling self-service analytics for business users. - Ability to read, maintain, test, and document dbt models. Familiarity with sources, tests, macros, lineage, and dbt development workflows. - Solid understanding of GL, journal entries, trial balance, financial statements, reconciliations, and period-close processes. SOX/ITAC experience is highly valued. - Working knowledge of dimensional modeling — fact/dimension tables, star schemas, slowly changing dimensions. - Applied experience with regression, classification, A/B testing, segmentation, and forecasting using SQL, Python, or similar tools. - Ability to explain complex analysis clearly to both Finance leadership and technical peers. Strong written and verbal skills. - Comfortable with Git/GitHub: branching, PRs, and collaborative development in a terminal environment. - Experience with LLMs or AI-assisted analytics tools (Claude, Gemini, GPT, Looker Conversational Analytics). Exposure to Cortex Analyst, Cortex Search, or AISQL capabilities. Understanding of MCP integration patterns is a plus. Nice to Have - Experience in telco, connectivity, or subscription environments (MVNOs, ISPs). Familiarity with churn, ARPU, MRR, billing, and provisioning metrics. - Familiarity with Airflow, Dagster, or Prefect for understanding scheduled pipelines and diagnosing failures. - Looker, Snowflake, dbt, or cloud platform certifications. Salary and Benefits - The base salary range for this position is $79,650 - $88,500. Range shown in $CAD for Canadian residents. Other countries will differ. - Range may vary on a number of factors including, but not limited to: location, experience and qualifications. - Tucows believes in a total rewards offering that includes fair compensation and generous benefits.

Title: Remote Order/Data Entry Rep (Must reside in Colorado Springs area) - Location: CO-Colorado Springs - Job Code: RMODE - Job Code Id: RMODE-202601201323 - $17.50 - $17.50 / Hour Job Description: With Staff Management | SMX, you'll get a weekly paycheck, learn new skills, meet new people, and work with a great management team in a clean and safe environment. Staff Management | SMX is seeking talented individuals for this remote data entry position! Work from home while inputting customer orders in our client's Oracle system and other software platforms, as needed. The ideal candidate must have expanded ability to work on computer systems and learn software programs/apps, while striving to deliver a stellar customer experience. Experience with Oracle, CRM and/or ERP business systems is needed. MUST RESIDE in the Colorado Springs area. Please send your resume to our RPS Recruiter. Perks & Benefits: Casual Dress Code, Climate Controlled Environment, Modern, high tech Environment, Paid Training, Weekly paychecks, Direct Deposit or Cash Card pay options, Medical / Dental Insurance, Paid Sick Leave, Advancement Opportunities. Bonus: Bonuses are per eligibility requirements. Shifts: 1st Shift. Employment Types: Full Time, Temp to Hire. Pay Rate: $17.50 / hour Duties: - Process customer purchase orders to meet customer and company commitments. - Strive to continually improve the level of customer satisfaction through timely and efficient order processing. - Receive, edit and enter incoming customer purchase orders in an accurate and timely manner. - Review, verify and make corrections as necessary to orders to ensure accurate information and order specifications and contact customer to resolve unclear issues. - Manage orders in the business system through the entire order cycle. - Screen all international customer orders to ensure compliance with the required regulations, policies and procedures. - Gather information for measurement, analysis and reporting. .Position Requirements: Requirements: - 3-5 years of data entry and/or customer support experience. - Customer interaction experience is preferred. - Computer experience including use of MS Word, MS Excel, MS Outlook and Oracle experience is required. - Education & Minimum Years of Experience: 2 years. - Associates Degree preferred. - Paid Training - Must be punctual, reliable and dependable. - Work inside from the comfort of you own home! Applications for this position are accepted on an ongoing basis. Requirements: Background Check, Drug Test, Must be at least 18 years old., required education: HS Diploma or GED. Recruiting Center: SMX -Phone Interview, Phone Interview, Colorado Springs, CO 80911. Work Location: SMX at Allegion, Colorado Springs, CO 80911. Job Types: Call Center, Customer Service Rep, Production, IT, Finance-Accounting, Administrative/Clerical. Industry: Administrative/Clerical. The hourly rate for this position is anticipated between $17.50 - $17.50 per hour. This range is a good-faith estimate, based on the shift you work and other considerations permitted by law. An employee''s pay history will not be a contributing factor where prohibited by local law. In addition to monetary compensation, we offer medical, dental, vision, life, and more. More details about benefits can be found at https://flimp.live/trueblueassociates#home . SMX, LLC is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, sexual orientation, age, gender identification, protected veteran status, or any other characteristic protected by law. We consider qualified applicants with arrest and conviction records in accordance with applicable law. Accommodations are available on request for candidates taking part in the selection process. If you require disability-related accommodation during the recruitment process, please contact your Recruiter or Employee Relations. TrueBlue, Inc. and its brands will consult with all applicants who request disability-related accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant's individual accessibility needs.