1 to 25 of 1,376 Remote Business Intelligence Jobs

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. … Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including … of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability More ❯

Global Markets Operations - Business Intelligence Analyst- London Job Description OPERATIONS Operations is a dynamic, multi-faceted division that partners with all parts of the firm to provide banking, securities, and asset management services to clients around the world. In addition, Operations provides essential risk management and controls to preserve and enhance the firm's assets and its reputation. … For every new product launched and every trade executed, it is Operations that develops and manages the processes and controls that enable business flow. OUR IMPACT The team is seeking a skilled professional who will provide business insights for data driven decisions. In this role, you will apply your quantitative, problem solving and client service skills to support … and Process Improvement: •Analyze trade lifecycle and operational workflows to identify areas for optimization and automation. •Enable strategic decision making through data driven analytics. •Develop detailed technical specifications for BI solutions based on business requirements, adhering to SDLC best practices. BI Solution Development: •Design, develop, test, and deploy end-to-end Business Intelligence solutions using Alteryx for More ❯

are seeking a Business Intelligence Developer to support the development and delivery of critical reports and dashboards for a federal agency. This role will use Microsoft Power BI and other Microsoft reporting and analytic tools in a cloud-based environment to address a wide range of data needs. The ideal candidate will be passionate about data visualization, capable … with key stakeholders to understand data needs, document report requirements, provide user support Design, develop, and implement operational and analytic reports, visualizations, dashboards, and data extracts utilizing Microsoft Power BI and other query tools Reengineer existing Power BI and SSRS reports and dashboards to source data from Azure data lake, Synapse Analytics, and Azure SQL Managed Instance Analyze current ETL … Collaborate with other team members including business analyst, data modeler, data architect, and data engineers to support design and implementation of data models and data transformations for Power BI reports Design, develop, and implement processes and functions to ensure data quality in reports and analytics Support Power BI administration tasks, including workspaces, access controls, apps, gateway and cloud data More ❯

analytics lifecycle-from requirements gathering and data extraction to visualisation, testing, and delivery. The team provides critical support across finance, treasury, risk, and strategic planning, while also managing enterprise BI tools and platforms. With a focus on excellence, the team leverages analytics to support informed decision-making, operational efficiency, and long-term business value. Key Responsibilities Champion analytics and … stakeholders to define reporting requirements and ensure high data accuracy and clarity. Advise on the development of key performance indicators (KPIs) to support business goals. Stakeholder Relationships Internal: BI and Data Analytics teams Business line and operations users IT, Change, and Transformation teams External: Technology vendors and development partners Data providers, including credit and financial information sources Qualifications … and Skills Essential: Degree in a quantitative, scientific, or finance-related field. Extensive experience in BI, analytics, or MI (management information) roles. Strong SQL proficiency with experience querying large databases and writing scalable, maintainable code. Expertise in Tableau with a proven ability to build insightful, interactive dashboards and reports. Advanced Excel skills for complex data analysis and modelling. Demonstrated ability More ❯

CO. We have employees in 30+ States across the U.S. Why work for Epsilon: In joining Epsilon's team, you will have the opportunity to contribute to Epsilon's business and customer initiatives, as well as influence our brand culture through people interaction and technology advancements. Epsilon invests in our employees by promoting from within and enabling employees to … is a hybrid onsite/remote opportunity where you will report to the customer location in Falls Church, VA and have the flexibility to work from home based on business needs. An average day: As Computer Systems Analyst II, you will be responsible for designing, implementing, and improving data infrastructure processes, focusing on efficient system performance, data quality, and … preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control More ❯

This is a remote position. We are seeking an experienced BI Developer to join our client's data team. In this role, you will be responsible for designing, developing, and maintaining business intelligence solutions that transform data into actionable insights. You will work closely with stakeholders to understand their analytical needs and deliver high-quality reporting and visualization … solutions. Key Responsibilities: Design and develop BI solutions, including dashboards, reports, and data models using tools such as Power BI, Tableau, or similar Collaborate with business users to gather requirements and translate them into technical specifications Perform data analysis to identify trends, patterns, and insights to support business decisions Ensure data accuracy and integrity through effective data management … practices Optimize and enhance existing BI solutions for performance and usability Provide training and support to end-users on BI tools and reporting processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g. More ❯

CO. We have employees in 30+ States across the U.S. Why work for Epsilon: In joining Epsilon's team, you will have the opportunity to contribute to Epsilon's business and customer initiatives, as well as influence our brand culture through people interaction and technology advancements. Epsilon invests in our employees by promoting from within and enabling employees to … is a hybrid onsite/remote opportunity where you will report to the customer location in Falls Church, VA and have the flexibility to work from home based on business needs. An average day: As Computer Systems Analyst I, you will support the maintenance, optimization, and oversight of an organization's data infrastructure, ensuring effective system performance and data … preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control More ❯

of Data & Insights this position will build, test and continuously improve the data platform and analytics capability within Melba. Collaborating with key stakeholders this position will focus on translating business needs into actionable data solutions by developing, enhancing, and maintaining robust data platforms, reporting tools, and visualisations. The role will also support strategic decision-making and operational efficiency by … clean, modular Python code to automate data processing tasks and integrate disparate data sources. Build reusable scripts and functions to support ad hoc and automated reporting needs. Collaborate with BI developers and analysts to align backend data models with dashboard/reporting requirements. Proactively identify and implement opportunities to optimise data workflows, automate manual processes, and improve system integration. Document … detail that is focussed on data quality, accuracy, and completeness Intermediate to advanced skills in data and visualisation tools such as SQL, Python, R (including R Studio), Excel, Power BI, and Domo. Exposure to working in the Microsoft Fabric ecosystem is advantageous Excellent communication, stakeholder engagement, and problem-solving skills. Able to translate technical concepts for non-technical audiences Strong More ❯

CO. We have employees in 30+ States across the U.S. Why work for Epsilon: In joining Epsilon's team, you will have the opportunity to contribute to Epsilon's business and customer initiatives, as well as influence our brand culture through people interaction and technology advancements. Epsilon invests in our employees by promoting from within and enabling employees to … is a hybrid onsite/remote opportunity where you will report to the customer location in Falls Church, VA and have the flexibility to work from home based on business needs. An average day: As Database Administrator I, you will focus on supporting and maintaining databases to ensure availability and performance. Working under close guidance, this position contributes to … preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control More ❯

building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real-time intelligence, premium independent content, and unique tools so they can compete in the sports betting game. FairPlay Sports Media is a collection of market leading brands including oddschecker, WhoScored, SuperScommesse … the Head of Core Product. You will be responsible for: Product Ownership: Define and own the product vision, strategy, and roadmap for our CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee … policies and procedures. Internal Product Integration: Define how data from the CDP/SCV can be integrated into our internal products and tools to enhance user experiences and drive business value. Vendor Management: Manage relationships with CDP vendors and other third-party data providers, ensuring optimal performance and cost-effectiveness. Stakeholder Management: Communicate effectively with stakeholders at all levels More ❯

building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real-time intelligence, premium independent content, and unique tools so they can compete in the sports betting game. FairPlay Sports Media is a collection of market leading brands including oddschecker, WhoScored, SuperScommesse … the Head of Core Product. You will be responsible for: Product Ownership: Define and own the product vision, strategy, and roadmap for our CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee … policies and procedures. Internal Product Integration: Define how data from the CDP/SCV can be integrated into our internal products and tools to enhance user experiences and drive business value. Vendor Management: Manage relationships with CDP vendors and other third-party data providers, ensuring optimal performance and cost-effectiveness. Stakeholder Management: Communicate effectively with stakeholders at all levels More ❯

Senior Business Intelligence Developer Salary: c.£50,000-£55,000 - Dependent on Experience Location: Birmingham - Hybrid Working - (3 Days a week in the office contractually, in practice less) Job Reference: J12976 An amazing opportunity has arisen for a Senior Business Intelligence Developer to join a progressive organisation who are expanding their data capabilities. Collaborating with the … requirements, aligning to Agile methodology for design, development, testing and release Working with the chosen data and analytics solution partners, lead the implementation and development of Microsoft Power BI reporting, developing and maintaining System architecture and ensuring that the system set-up reflects data and reporting needs Utilise the data warehouse to generate data solutions to provide insights and … data governance practice Ensure all reporting developed complies with legal and statutory requirements applicable, including data protection (UK-GDPR/Data Protection) and corporate governance. Train and mentor Junior BI Developers Technical Experience An honours degree or equivalent. Data warehouse design and development experience (Kimball Methodology, building fact and dimension tables) Substantial relevant experience in working with data visualisation software More ❯

Senior BI Developer - Hybrid Working About the Role We are seeking a Senior Business Intelligence (BI) Developer to join a leading Lloyd's market syndicate. This is an exciting opportunity to play a pivotal role in transforming data into critical insights that drive business performance and strategic decision-making within a dynamic and fast-paced insurance environment. … You will be responsible for designing, developing, and maintaining end-to-end BI solutions using Power BI , DAX , and SQL , working closely with underwriters, actuaries, finance, and senior stakeholders. Key Responsibilities Design, build and optimize interactive Power BI dashboards and reports tailored to the Lloyd's insurance market. Working specifically with underwriting teams to support their BI processes. Write efficient … DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality initiatives to ensure data integrity and consistency. Mentor junior developers and contribute More ❯

Senior BI Developer - Hybrid Working About the Role We are seeking a Senior Business Intelligence (BI) Developer to join a leading Lloyd's market syndicate. This is an exciting opportunity to play a pivotal role in transforming data into critical insights that drive business performance and strategic decision-making within a dynamic and fast-paced insurance environment. … You will be responsible for designing, developing, and maintaining end-to-end BI solutions using Power BI , DAX , and SQL , working closely with underwriters, actuaries, finance, and senior stakeholders. Key Responsibilities Design, build and optimize interactive Power BI dashboards and reports tailored to the Lloyd's insurance market. Working specifically with underwriting teams to support their BI processes. Write efficient … DAX measures and calculated columns to support analytical requirements. Develop robust SQL queries, stored procedures, and ETL processes to source and transform data. Translate complex data requirements into scalable BI solutions. Collaborate with business users to gather requirements and deliver meaningful insights. Lead data governance and quality initiatives to ensure data integrity and consistency. Mentor junior developers and contribute More ❯

BI Technical Engineer About the Role An exciting opportunity has arisen to join our Business Intelligence (BI) Team as a BI Technical Engineer at The Veterinary Defence Society (VDS). Youll play a pivotal role in shaping our data and reporting capabilitiessupporting informed decision-making, improving service delivery, and helping our teams make the most of data. This … and reports to senior leadership Identify and address data quality issues and improve data processes Contribute to project teams, ensuring data requirements are addressed from the outset Continuously improve BI tools and data engineering practices Required Skills & Experience Proficiency in SQL, ETL processes, data warehousing, and data modelling (MS SQL preferred) Proven experience in data engineering or analysis Strong analytical … and problem-solving skills Excellent communication skills able to explain technical concepts to non-technical audiences Experience using dashboard tools (Power BI preferred) Attention to detail and a proactive, collaborative attitude Desirable Skills (Not Essential) Power BI: DAX, Power Query, M Code Python Azure Blob Storage Jira Knowledge of GDPR and data protection standards Degree in Computer Science, Data Analytics More ❯

Responsibilities - Conduct analysis into customer behaviour, purchasing patterns, and sales data to identify trends, opportunities and actionable insights to inform decision making to enhance commercial decision making and drive business performance. - Translate complex data into an understandable and actionable format through engaging reports and dashboards that communicate key findings and recommendations to senior stakeholders and board members. - Often tackling … for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support for the weekly trading process - both outputs … in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in analytical tools such as SQL, Python, R. - Proficiency in data visualisation platforms (e.g. Tableau or Power BI). - Excellent communication and presentation skills, confident verbally and in writing. - Strong relationship management skills, able to build high quality relationships with a range of internal stakeholders. - Excellent attention to More ❯

Analytics Location: London How does this role contribute to our collective success? The Data & Analytics department transforms raw data into actionable insights to drive informed decision-making and optimize business operations. The Senior Azure Data Engineer will support these goals by designing, implementing, and managing scalable data solutions on the Azure platform, ensuring efficient data processing, storage, and retrieval. … You will play a key role in modernizing our data architecture, ensuring efficient data integration, and enabling advanced analytics to support critical business decisions. This role will enhance the department's ability to deliver high-quality analytics and maintain robust data infrastructure. What will you do in this role? As a Senior Azure Data Engineer, you will be responsible … Qualifications: Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect). Experience with Terraform, ARM templates, or Bicep for infrastructure automation. Experience integrating Azure Data Services with Power BI and AI/ML workflows. Role Factors: The position is full-time with remote work options, requiring in-office presence three days per week What we offer: You will be More ❯