11 of 11 Exploratory Analysis Jobs

identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and More ❯

You’ll enable the business to make quicker, smarter decisions through: Developing reporting solutions which facilitate data exploration to answer questions about what has happened and why Ad hoc exploratory analysis to provide deeper insight into the reasons behind what is happening Forecast analytics to provide insight as to what is likely to happen in the future Analytically … data suppliers to ensure they provide accurate, complete and timely customer and sales data utilising a variety of analytical techniques and tools extracting, cleaning, and preparing data for subsequent analysis acquiring and applying statistical techniques for data analysis You’ll also support user training and education regarding understanding of our data and use of BI tools Requirements: Proven … interest in data analysis (this could be from formal studies, self study or the workplace) Excellent communication and collaboration skills Ability to work independently and in a team environment Detail-oriented and strong attention to accuracy and completeness Exceptional problem-solving skills Willingness to learn and continuously improve technical and professional skills Competency with Microsoft office applications including Excel More ❯

term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2. Key Responsibilities Translate business questions into data science problems and analytical workflows Conduct data wrangling, exploratory analysis, and hypothesis testing Develop statistical models and predictive tools for decision support Create compelling data visualizations and dashboards for business users Present findings and recommendations to non More ❯

Science, Statistics, Operational Research, Computer Science , or a closely related field. Strong proficiency in Python, R, or similar analytical programming languages. Solid understanding of statistical modelling, data manipulation, and exploratory analysis. Analytical mindset with strong problem-solving capabilities. Excellent communication skills with the ability to present technical insights to non-technical stakeholders. Ability to work both independently and as More ❯

based modelling. Proven ability to lead teams in designing and implementing complex data models and analytics solutions. Mastery of general-purpose programming languages (Python, C#, or similar) and data analysis packages. Strong communication skills for engaging with clients and internal stakeholders, including the ability to explain technical concepts to diverse audiences. Demonstrated experience in managing large data sets, from … onboarding through exploratory analysis and insight generation. Facility with SQL, data modelling, and data management tools. Ability to solve problems thoroughly, quickly, and creatively, with a keen eye for detail. Experience in litigation tracking, risk transfer solutions, and supporting customer adoption of analytics products. Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI More ❯

drive impact end-to-end through the product development life cycle. The product growth analyst role is embedded within product teams and requires using a mix of skills including analysis, product ideation, and cross-functional collaboration. Success in the role is tied directly to product goals and the team rewards results-based performance. The Growth practice was started right … the world. Responsibilities Lead growth strategy across a large product area and drive cross-team alignment Drive long term growth of Meta Inc products through a combination of data analysis, product ideation, and experimentation to optimize product experiences Understand trends in user behavior and product usage to influence growth strategy Identify opportunities to drive growth and prioritize them to … towards common product goals Experience working with and influencing multi disciplinary product teams consisting but not limited to software engineers, designers, product managers and data scientists Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets Experience performing exploratory analysis with minimal direction to answer ambiguous open ended questions Experimentation experience to design multivariate tests More ❯

way that’s build-ready with clear user stories, acceptance criteria, and process flows Experience with process modelling (BPMN, UML), prototyping, and wireframing tools (e.g., Figma). Strong data analysis skills, including dashboard/report creation and KPI tracking. Familiarity with Agile and hybrid delivery models, backlog management, and prioritisation techniques (e.g., MoSCoW). Understanding regulatory requirements relevant to … for process and system improvement. Comfortable working across multiple teams and disciplines, including external vendors. Open to coaching, knowledge sharing, and continuous learning. Able to support both structured and exploratory analysis and development approaches. Technical Exposure CRM platforms, including release management and feature documentation, those used within a call-centre setting is a plus Understanding of product architecture … SQL, Power BI, and Figma to validate assumptions and support solution design. Participation in UAT and environment setup to ensure what’s delivered matches what was asked for. Data analysis and reporting tools (Excel, Power BI, SQL). Requirements management and collaboration tools (Azure DevOps, Jira, Confluence). Process modelling and prototyping tools (BPMN, UML, Figma, Axure) Broader Responsibilities More ❯

documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion–challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your More ❯

documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your More ❯

from various analytical databases and sources, and implement advanced statistical methodologies to optimize American Airlines operations; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Conduct exploratory analyses including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive); Partner with business and technical stakeholders to translate challenging retail business problems into state …/M-F. Job Location: Fort Worth, TX 2 years of experience as Analyst or any occupation in which the required experience was gained, and demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or … Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data sources; Strong economic and market analysis skills; Strong analytical skills with work experience in dynamic environment; Demonstrated ability to solve and More ❯

operations. Working with rich datasets from connected assets, energy systems, and environmental inputs, your work will deliver measurable efficiencies and insights that matter. You will: Perform statistical and predictive analysis across diverse datasets. Design and implement scalable, end-to-end data science workflows. Build and deploy machine learning models that optimise energy and system performance. Develop production-ready algorithms … from R&D and exploratory analysis. Collaborate with cross-functional teams to translate business needs into data-led solutions. Present technical insights clearly to both technical and non-technical stakeholders. Stay ahead of the curve by experimenting with emerging AI and ML techniques. What You’ll Bring Strong background in Python or R (e.g., Pandas, NumPy, Scikit-learn, TensorFlow More ❯