This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Clements Fluids is seeking a Sales & Market Intelligence Analyst who supports the Sales organization by transforming commercial, operational, and market data into actionable insights that drive revenue growth and customer value. This role analyzes sales performance, customer trends, and market activity to support forecasting, territory strategy, pricing decisions, and strategic initiatives. The position partners closely with Sales, Finance, and Operations to translate data into practical insights that improve decision-making and strengthen the company’s competitive position. - Deliver Commercial Insights Through Data Analysis and Visualization - Analyze sales, customer, and operational datasets to uncover trends, opportunities, and risks impacting revenue and profitability. - Ensure data accuracy and consistency across CRM, ERP, and operational reporting systems. - Develop dashboards and visualizations to support sales performance tracking, territory management, and pipeline visibility. - Apply statistical methods and modeling to identify patterns in customer demand, product usage, and market activity. - Present insights and recommendations to sales leadership and cross-functional teams. - Build Sales Forecasting and Predictive Models - Develop forecasting models to support revenue planning, demand forecasting, and capacity planning. - Use predictive analytics to identify growth opportunities, customer churn risks, and product demand trends. - Maintain documentation and governance of analytical models and assumptions. - Partner with finance and operations to ensure alignment between sales forecasts and operational capabilities. - Provide Market, Customer, and Competitive Intelligence - Conduct market and competitor analysis to identify strategic opportunities in key basins and customer segments. - Analyze customer buying patterns, service requirements, and operational data to support account strategies. - Translate data into actionable insights for sales leadership and account managers. - Support the development of value propositions and customer-specific strategies using data. - Support Strategic Sales Initiatives and Cross-Functional Projects - Partner with sales leaders/managers, operations, and finance teams to evaluate strategic initiatives and business opportunities. - Provide analytical support for pricing strategies, new product opportunities, and customer proposals. - Lead data-related projects that improve commercial decision-making and operational alignment. - Ensure alignment and collaboration across functions to support revenue growth. - Apply Advanced Analytics and Technology to Improve Commercial Intelligence - Utilize advanced analytics tools and programming languages to extract and analyze large datasets. - Leverage Excel, SQL, PowerBI/Tableau, and other tools to create scalable reporting solutions. - Explore machine learning and advanced modeling techniques where appropriate. - Continuously improve sales reporting, forecasting, and analytics capabilities. Qualifications - Bachelor’s Degree required in one of the following areas: - Engineering (Petroleum, Chemical, Mechanical, Industrial preferred) - Data Science or Analytics - Statistics or Applied Mathematics - Computer Science or Information Systems - Business Analytics or related quantitative field - Engineering backgrounds with strong analytical and data capabilities are strongly encouraged due to the technical nature of the oil and gas industry. Requirements - 5+ years of experience in data analytics, commercial analytics, or business intelligence. - Experience supporting sales organizations, commercial strategy, or revenue analytics preferred. - Experience working with large datasets across multiple systems (ERP, CRM, operational data). - Experience with visualization and data storytelling. - Experience building forecasting models or predictive analytics preferred. - Experience in oil & gas, energy services, manufacturing, or industrial markets strongly preferred. Benefits - Commercial & Technical Curiosity - Ability to understand how operational processes, product performance, and customer requirements influence commercial outcomes in a technical industry. - Transferrable skills: - Skilled in extracting and analyzing data using Structured Query Language (SQL). - Detail-oriented with a focus for data accuracy and integrity. - Proficiency in using analytic programming languages. - Track record of creative problem solving, and quick response to requests for data analyses. - Excellent interpersonal skills including effective communication both verbally and in writing with management and coworkers. - Strong ability to manage projects independently, prioritize tasks, and adhere to established timelines. - Excellent written and verbal communication skills accompanied by excellent consultative skills. - Ability to complete projects and achieve results in an ambiguous work environment. - Excellent planning and organizational skills.

• Lead web tracking squad, providing guidance, mentorship, and best practices to ensure high-quality implementation and reporting • Manage stakeholder relationships, translating complex analytics requirements into actionable insights and aligning expectations across product, marketing, and business teams • Oversee projects timelines, prioritizing initiatives, allocating resources, and ensuring the timely delivery of web tracking solutions • Provide strategic recommendations based on data analysis, influencing decision-making at leadership levels • Design and implement advanced tracking solutions across our web properties using Google Analytics, Google Tag Manager, Amplitude and other analytics platforms • Lead server-side tracking implementation to enhance data control and reduce client-side load • Collaborate with frontend and backend developers to implement technical tracking solutions across different products teams • Develop and maintain standardized data collection frameworks, ensuring consistent and accurate measurement of user behavior • Establish data governance processes to maintain tracking integrity and compliance across platforms • Continuously improve processes, promoting scalable and efficient analytics workflows across multiple teams • Always stay prepared and continuously look for ways to improve the quality of collected data

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Wave is now the largest financial institution in Senegal, with over 7 million users, and we’re still in the early days of our product roadmap and potential impact on people’s everyday lives. As a Senior Analytics Engineer, you will work to make Wave’s data easy, safe, and reliable to use, enabling better products for our customers. - Leading dimensional design to structure Wave’s analytics data in ways that are helpful for human and AI end users. Examples include: - Building out facts, dimensions, and One Big Tables (OBTs) as appropriate for a focus area at Wave. - Standardizing metric creation and usage. - Building out ways to make it easy to add context for LLMs to data models. - Managing our extensive Snowflake estate with a strong analytical mindset. Examples include: - Finding patterns that are repeated frequently and optimizing them. - Building tools to identify and turn off stale/unused models. - Evaluating the impact of an optimization on costs and performance. - Building tools to improve the analytics development experience. Examples include: - Creating helpful dbt macros. - CI/CD checks that catch possibly exploding joins. - Reducing the pain of iterating on metric design. - Be responsible for the design, build, and health of all of our ETL pipelines. - Champion best practices across data. - Be a key partner in the roadmap of the data platform team. Qualifications - 5+ years as an analytics or data engineer. Software engineering experience focused on data platforms also counts. - 3+ years of involved experience with Snowflake, ideally including experience with performance optimization. - Experience with dimensional modeling, ideally having built two or more dimensional marts. - Strong Python, SQL, and dbt experience. - Familiarity with managing an orchestration platform like Dagster or Airflow. Requirements - Proficient in SQL and Python. - A self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data. - Excellent focus, prioritizing research and work using an iterative approach. - Able to compellingly present findings to technical and non-technical audiences and make proactive recommendations based on data. - Excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation. Benefits - Yearly $1,200 stipend to support co-working meetups with teammates. - Remote team members are expected to travel to operational markets at least once a year. - Competitive salaries calculated using a transparent formula, with a salary range of $123,500 - $176,400 USD, plus a generous equity package. - Subsidized health insurance for you and your dependents and retirement contributions (varies by country). - 6 months of fully paid parental leave and subsidized fertility assistance. - Flexible vacation, with most employees taking between 30-40 days per year. - $10,000 annual charitable donation matching.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join us at Ventura TRAVEL – a group of specialized travel brands that unleash the adventurer in every person! As the Data team, our mission is to empower our members with accurate data and proactive insights to support data-informed decisions. We are looking for a reliable and proactive Analytics Engineer to strengthen our digital marketing analytics stack. You will build and maintain end-to-end data solutions—from data collection and integration to modelling and reporting—that help us grow sustainable tourism around the globe. You will report directly to our Data Manager and work in a growing international IT Department, surrounded by other talented, caring, and passionate individuals. On a daily basis, you will: - Connect to and collect data from diverse sources and APIs. - Tackle data processing challenges, turning stakeholder needs into robust, scalable data solutions. - Work with analytics tools to boost our web presence and acquisition performance. - Design and maintain dashboards and visualizations that clearly communicate insights to stakeholders. - Ensure data quality through validation, testing, and documentation. - Collaborate with marketing and other teams around the world, growing your skills and perspective through end-to-end data solution development. Qualifications - Strong experience with SQL and Python for data processing. - Experience with Git for version control. - Confident using AI tools to boost efficiency. - Solid data visualization and reporting skills. - Practical experience with web/marketing analytics tools, such as Google Analytics and Google Tag Manager. - Professional communication skills in English (written and spoken). - A collaborative mindset, with the ability to gather requirements and communicate with non-technical stakeholders. Requirements - Experience with BigQuery and Looker Studio. - Exposure to Machine Learning or Data Science projects. Benefits - Interesting tasks and goals. - Freedom to be creative in achieving results. - Flexibility in regard to place of work and working schedule. - Quarterly Social Days and Team Events. - Work from other offices in the Ventura network around the world. - Colleagues who are a lot more than just co-workers. - Competitive salary. - Good career opportunities within Ventura Travel. - International Team. Confidentiality & Diversity Applications at Ventura TRAVEL are treated with strict confidentiality. We use a professional HR-Software that only grants access to your applications to HR, the Recruiting Manager, and the interviewers. It is our commitment that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.