Role Description This position is for self-employed contract work only. All work is coordinated remotely from anywhere in Cameroon. Experience in market research, data estimates/manipulation, and in-depth interviews are key. Euromonitor International seeks a self-employed researcher to interview, analyse and report on multiple industries in Cameroon. This role will suit a self-starting individual, who is looking for the flexibility of working from home. You will enjoy the challenge of reporting on consumer markets for a leading player in strategy research, globally. Industry researchers are employed on an annual contract basis and work with commissioners based in our London office. Our research addresses the following type of questions to deliver insightful business intelligence: - How much chocolate was sold in Cameroon in 2018? Why did sales increase/decline over the previous year? - What companies are the leading players in the pet care market? What share of sales is held by the leading brands? - Why is company X doing better than company Y? What strategy is being employed and how is this supported operationally? 70% of your time will be dedicated to conducting secondary research and updating the database for several industries including packaged foods and pet foods. The remaining will focus on primary research (interviews with industry opinion leaders). You will be working with very granular databases and while advanced data skills are not required, you must enjoy estimating data from quantitative and qualitative insights. On primary research, success relies on researchers’ proactivity to recruit and secure interviews with the right contacts, and their ability to uncover key data and insights via open discussions. Researchers are also responsible for building and maintaining a digital library of secondary research by accessing and analysing local/professional trade press, company annual reports, national statistics, broker reports, etc. Qualifications - High level of numeracy. Ability to work with, analyse, and interpret data. - Strong interest in market research and tenacity in the pursuit of information. - An innate curiosity to stay up to date with the evolution of the food and nutrition industry, more specifically on packaged and fresh food retail sales, food packaging and pet food. Food and nutrition experience is an advantage. - Familiar with consumer trends in Cameroon. Local direct knowledge is key. - Strong communication skills and a willingness to find strong industry contacts. - Fluency in English (reporting) and the local language (research). - Previous experience working on a short-term contract basis or in a freelance capacity. - Excellent time-management, organization and self-motivation skills. - Proven proficiency with Microsoft Office (Word, PowerPoint, Excel). - Flexibility to adapt to unexpected changes in project scope, starting dates, etc. - Disposition to visit local stores to capture relevant product information and to discuss the industry with key staff. Requirements - Creating and analyzing large volumes of market data (MS-Excel) and qualitative information. - Reviewing and collecting information from secondary sources. - Availability to work throughout the year based on project requirements - likely to require 35 hr per week depending on team needs. - Conducting interviews with key players along the value chain: manufacturers, suppliers, distributors, associations, government, etc. - Perform retail audits of major retailers and stores around Cameroon. - Researching and recruiting contacts for interviews. Networking to create long-term links with the industry is key. - Generating MS-Word and PowerPoint reports in English. - Continuous training in our market research methodologies via online courses and selected live training sessions. - Collaboration with an international team across EMEA and beyond. - The ability to contribute to research projects for top multinationals. - The opportunity to develop and position yourself as a local market research expert. - Flexible hours from the comfort of your home. Benefits - Flexible hours from the comfort of your home. Please attach a copy of your current CV and a covering letter outlining your interest in the role and why you feel you are suited to the position. Please give an indication of your salary expectations. By applying to this post you are agreeing to our privacy policy and opting in to recruitment communication for 24 months. You may opt out at any time.

• Support client delivery across carbon accounting, sustainability reporting, research and wider operational activities. • Review and clean raw client data across utility, logistics, financial and operational sources, including electricity usage, vehicle mileage, fuel consumption, annual expense reports and more. • Consolidate data from various formats into structured Excel reports used in internal carbon modelling tools. • Reformat messy spreadsheets, copy and paste data from scanned or PDF documents, and ensure data is aligned by scope, location, date and emission source. • Spot and flag anomalies and inconsistencies such as mismatched dates, sudden usage spikes, duplicated entries or incorrect units. • Prepare bullet-style discrepancy reports or summaries to assist consultants in following up with clients. • Use advanced Excel functions, including PivotTables, VLOOKUP, filters, conditional formatting and other data management techniques to improve data structure, readability and overall data quality. • Support carbon consultants by clarifying data-related issues and collaborating through Microsoft Teams, Slack and other internal communication tools. • Occasionally assist in assigning emission factors (where applicable) or flag missing information requiring client input. • Collaborate closely with the consulting and delivery team to ensure accurate, timely and high-quality outputs for clients. • Help reduce turnaround times for data preparation and contribute to high-quality reporting outcomes for external clients. • Contribute to continuous improvements in data preparation processes and operational efficiency.

• Implement and quality-check online conversion tracking across Google Ads, Meta, LinkedIn, Microsoft Ads, and other paid media platforms • Set up and maintain offline conversion tracking using CRM integrations, CSV uploads, and API-based data pipelines • Build, configure, and maintain Google Tag Manager containers, custom triggers, variables, and Consent Mode implementations • Troubleshoot tracking issues and resolve data discrepancies across platforms • Validate tracking accuracy before project handoff • Collaborate with paid media and account management teams to ensure reliable campaign measurement

Title: Data Analyst Locations: Jackson, Wyoming, United States Salt Lake City, Utah, United States Denver, Colorado, United States Remote Finance Full time Job Description: ABOUT US Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations. We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly. We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities. YOUR ROLE The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process. You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook. We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio. This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES - Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings. - Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work. - Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day. - Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means. - Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy. - Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business. - Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve. - Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work. - Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side. YOUR SKILLS AND EXPERIENCE - 3+ years of professional experience as a data analyst, analytics engineer, or similar role - Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off - Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like - Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar) - Version control with Git/GitHub as part of your normal workflow - Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar) - A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy - History of building collaborative, trusting relationships with non-technical stakeholders - Comfort presenting findings to leadership verbally, in writing, and visually PREFERRED ADDITIONAL SKILLS AND EXPERIENCE Though not required, we would consider the following as an added plus: - Working knowledge of Python and/or R for analysis - Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex) - Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo - Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company - Experience working in a small or solo data team where you owned the work end-to-end THE FINE PRINT - Must be able to work in a stationary position 50% - 75% of the work day - Medical, Dental Vision plans - Company Paid Long Term Disability - Employee Assistance Programs - 401k with Match - Generous paid time off policies - Gear test, perks and more We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications. This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.