Oracle Cloud Reporting Lead £650 p/d outside IR35: You will need to be proficient in Oracle Cloud reporting tools such as OTBI (Oracle Transactional Business Intelligence), BIP (BI Publisher), (OAC) Oracle Analytics Cloud and FAW (Fusion Analytics Warehouse). As a Technical Lead, you will be responsible for leading the development and maintenance of reporting solutions within the Oracle Cloud environment, ensuring accurate and timely delivery of analytical insights to support decision-making processes. Key Responsibilities: Lead the design, development, and implementation of Oracle Cloud reporting solutions to meet the business requirements. Collaborate with key stakeholders to understand reporting needs and translate them into technical specifications and design documents. Provide technical leadership and guidance to a team of developers and analysts involved in reporting solution development. Configure and customise OTBI reports, BIP templates, and data models to support various reporting requirements. Stay updated with the latest Oracle Cloud updates, patches, and enhancements, assessing their impact on reporting solutions and making necessary adjustments. Troubleshoot and resolve technical issues related to Oracle Cloud reporting tools and integrations. Stay current with Oracle Cloud updates and enhancements, assessing their impact on existing reporting solutions and recommending necessary adjustments. Conduct regular performance tuning and optimisation of reporting solutions to improve efficiency and responsiveness. Document technical specifications, configurations, and procedures for reporting solutions, ensuring knowledge transfer and supportability. Required Skills Minimum of 8 years of experience in Oracle Cloud reporting tools, including OTBI, BIP, OAC and FAW. Strong proficiency in SQL for data querying and manipulation. Familiarity with Oracle Cloud Security and Role-Based Access Control (RBAC). Good working knowledge of Oracle Analytics Cloud (OAC) and Fusion Analytics Warehouse (FAW). Experience with Datamodelling and ETL processes for data integration. Solid understanding of Oracle Cloud applications and underlying data structures. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
19/04/2024
Project-based
Oracle Cloud Reporting Lead £650 p/d outside IR35: You will need to be proficient in Oracle Cloud reporting tools such as OTBI (Oracle Transactional Business Intelligence), BIP (BI Publisher), (OAC) Oracle Analytics Cloud and FAW (Fusion Analytics Warehouse). As a Technical Lead, you will be responsible for leading the development and maintenance of reporting solutions within the Oracle Cloud environment, ensuring accurate and timely delivery of analytical insights to support decision-making processes. Key Responsibilities: Lead the design, development, and implementation of Oracle Cloud reporting solutions to meet the business requirements. Collaborate with key stakeholders to understand reporting needs and translate them into technical specifications and design documents. Provide technical leadership and guidance to a team of developers and analysts involved in reporting solution development. Configure and customise OTBI reports, BIP templates, and data models to support various reporting requirements. Stay updated with the latest Oracle Cloud updates, patches, and enhancements, assessing their impact on reporting solutions and making necessary adjustments. Troubleshoot and resolve technical issues related to Oracle Cloud reporting tools and integrations. Stay current with Oracle Cloud updates and enhancements, assessing their impact on existing reporting solutions and recommending necessary adjustments. Conduct regular performance tuning and optimisation of reporting solutions to improve efficiency and responsiveness. Document technical specifications, configurations, and procedures for reporting solutions, ensuring knowledge transfer and supportability. Required Skills Minimum of 8 years of experience in Oracle Cloud reporting tools, including OTBI, BIP, OAC and FAW. Strong proficiency in SQL for data querying and manipulation. Familiarity with Oracle Cloud Security and Role-Based Access Control (RBAC). Good working knowledge of Oracle Analytics Cloud (OAC) and Fusion Analytics Warehouse (FAW). Experience with Datamodelling and ETL processes for data integration. Solid understanding of Oracle Cloud applications and underlying data structures. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Social Media Measurement Analyst- London/Remote-6 months- £40-£45 ph PAYE A global technology company are looking for an experienced Social Media Measurement Analyst to join their team on an initial 6 month assignment. The successful candidate will play a crucial role in analysing social media data and metrics to gain insights into audience reach. Responsibilities: Analyze company owned channels engagement. Report on insights for creators we activate for different initiatives and events. Identify online customer habits and suggest means by which to broaden our audience. Conduct in-depth research and analysis of earned social media conversations, competitive intelligence, and audience segmentation to inform media intelligence initiatives. Advise teams on their social media activity and activations. Collaborate with cross-functional teams, including media analysts, researchers, and product managers, to identify business needs, define key performance indicators (KPIs), and provide data-driven recommendations. Conduct ad hoc analysis to identify patterns, trends, and anomalies in media data, and generate actionable insights to optimize media strategies and campaigns. Perform data mining and exploratory analysis to uncover new opportunities for improving media intelligence processes and outcomes. Stay up to date with industry trends, best practices, and emerging technologies in data analysis and visualization, and actively contribute to the team's knowledge base. Skills/Experience: Bachelor's degree in Media Studies, Communications, Marketing, or a related field. A master's degree is a plus. Proven experience as a Social Media Analyst, Digital Analyst, or similar role, preferably in a media, technology, or news organization. Deep understanding of social media platforms (such as Facebook, Twitter, Instagram, LinkedIn) and their functionalities. Extensive knowledge of online audiences and how users engage with news and media content. Proficiency in social media analytics tools (eg, Tweetdeck, Cision, Brandwatch, Talkwalker) to extract and analyze audience data. Strong analytical skills with the ability to interpret complex data and translate it into actionable recommendations. Excellent written and verbal communication skills, with the ability to present findings and insights effectively. Ability to work independently, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment. Familiarity with data visualization tools and techniques is a plus. Strong attention to detail and the ability to work independently as well as collaboratively in a fast-paced environment. 8+ years of experience in social media analysis. Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles. We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout. PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.
19/04/2024
Project-based
Social Media Measurement Analyst- London/Remote-6 months- £40-£45 ph PAYE A global technology company are looking for an experienced Social Media Measurement Analyst to join their team on an initial 6 month assignment. The successful candidate will play a crucial role in analysing social media data and metrics to gain insights into audience reach. Responsibilities: Analyze company owned channels engagement. Report on insights for creators we activate for different initiatives and events. Identify online customer habits and suggest means by which to broaden our audience. Conduct in-depth research and analysis of earned social media conversations, competitive intelligence, and audience segmentation to inform media intelligence initiatives. Advise teams on their social media activity and activations. Collaborate with cross-functional teams, including media analysts, researchers, and product managers, to identify business needs, define key performance indicators (KPIs), and provide data-driven recommendations. Conduct ad hoc analysis to identify patterns, trends, and anomalies in media data, and generate actionable insights to optimize media strategies and campaigns. Perform data mining and exploratory analysis to uncover new opportunities for improving media intelligence processes and outcomes. Stay up to date with industry trends, best practices, and emerging technologies in data analysis and visualization, and actively contribute to the team's knowledge base. Skills/Experience: Bachelor's degree in Media Studies, Communications, Marketing, or a related field. A master's degree is a plus. Proven experience as a Social Media Analyst, Digital Analyst, or similar role, preferably in a media, technology, or news organization. Deep understanding of social media platforms (such as Facebook, Twitter, Instagram, LinkedIn) and their functionalities. Extensive knowledge of online audiences and how users engage with news and media content. Proficiency in social media analytics tools (eg, Tweetdeck, Cision, Brandwatch, Talkwalker) to extract and analyze audience data. Strong analytical skills with the ability to interpret complex data and translate it into actionable recommendations. Excellent written and verbal communication skills, with the ability to present findings and insights effectively. Ability to work independently, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment. Familiarity with data visualization tools and techniques is a plus. Strong attention to detail and the ability to work independently as well as collaboratively in a fast-paced environment. 8+ years of experience in social media analysis. Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles. We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout. PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.
We're a multi-channel, multi-brand business serving millions of customers a day with over 1.2 billion transactions each year, presenting a volume, depth and complexity of data that few can match. The team are responsible for implementing Google analytics across multiple channels eg web, in-store apps and consumer apps using our tag management tool called Google Tag Manager as well as the Adobe SDK collaborating with a variety of stakeholders such as multiple engineering teams, insight analysts product and commercial teams. We take business requirements from our stakeholders and translate them into technical documents. About the role As a Google Implementation Analyst, you will work in the Analytics Implementation Team to deliver solutions to unique business problems by leveraging your technical skills. Your work will be the building block upon which the business relies on to capture digital data which in turn will be used to deliver actionable insights, drive targeted marketing campaigns and optimisation. Be the subject matter expert of the tools in your remit, ie GA, Google Tag Manager and Tealium Enforce mechanisms and processes to maintain the integrity of data collection Confidently make changes to cater for new requirements Communicate effectively with stakeholders to capture their requirements and transform those into technical document. Ensure that the SDR stays in sync and can be trusted as a reference Work as part of an Agile workflow alongside other teams More about you: Essential Experience in a digital analytics implementation role Strong JavaScript skills Strong debugging skills Exceptional attention to detail Experience using a tag manager (preferably Google or Tealium) Ability to work under pressure and work to tight deadlines Excellent verbal, written and communication skills Ability to take responsibility and work using own initiative Strong problem solving skills Desirable Working knowledge in Google Analytics or Adobe Analytics Experience using Google Tag Manager, Tealium IQ and event stream Skills: google analytics google tag manager Web analytics Adobe analytics Tealium Server Side Employee Value Proposition: Large highly recognisable brand, working with the latest analytics skillsets. Job Title: Google Analytics Implementation Consultant Location: Holborn, UK Rate/Salary: .00 GBP Daily Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
19/04/2024
Project-based
We're a multi-channel, multi-brand business serving millions of customers a day with over 1.2 billion transactions each year, presenting a volume, depth and complexity of data that few can match. The team are responsible for implementing Google analytics across multiple channels eg web, in-store apps and consumer apps using our tag management tool called Google Tag Manager as well as the Adobe SDK collaborating with a variety of stakeholders such as multiple engineering teams, insight analysts product and commercial teams. We take business requirements from our stakeholders and translate them into technical documents. About the role As a Google Implementation Analyst, you will work in the Analytics Implementation Team to deliver solutions to unique business problems by leveraging your technical skills. Your work will be the building block upon which the business relies on to capture digital data which in turn will be used to deliver actionable insights, drive targeted marketing campaigns and optimisation. Be the subject matter expert of the tools in your remit, ie GA, Google Tag Manager and Tealium Enforce mechanisms and processes to maintain the integrity of data collection Confidently make changes to cater for new requirements Communicate effectively with stakeholders to capture their requirements and transform those into technical document. Ensure that the SDR stays in sync and can be trusted as a reference Work as part of an Agile workflow alongside other teams More about you: Essential Experience in a digital analytics implementation role Strong JavaScript skills Strong debugging skills Exceptional attention to detail Experience using a tag manager (preferably Google or Tealium) Ability to work under pressure and work to tight deadlines Excellent verbal, written and communication skills Ability to take responsibility and work using own initiative Strong problem solving skills Desirable Working knowledge in Google Analytics or Adobe Analytics Experience using Google Tag Manager, Tealium IQ and event stream Skills: google analytics google tag manager Web analytics Adobe analytics Tealium Server Side Employee Value Proposition: Large highly recognisable brand, working with the latest analytics skillsets. Job Title: Google Analytics Implementation Consultant Location: Holborn, UK Rate/Salary: .00 GBP Daily Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Job Title: Python Data Analyst (1-3 years exp) Location: Pretoria East Job Type: Full-Time Introduction: We're seeking a meticulous and analytical Python Data Analyst to join our team. Ideal for those passionate about leveraging data for informed business decisions, with solid Python programming and data analysis skills. Key Responsibilities: Gather, clean, and interpret data from diverse sources with precision and relevance. Develop and manage data pipelines using Python libraries like Pandas, NumPy, and SQL. Conduct exploratory data analysis to unveil trends, patterns, and insights. Create and maintain dashboards and reports for stakeholders, utilizing visualization tools such as Matplotlib, Seaborn, or Tableau. Aid in building and applying machine learning models to address business challenges. Collaborate across teams to understand data requirements and deliver actionable insights. Document methodologies and results to ensure transparency and reproducibility. Requirements: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 1-3 years of data analysis experience, emphasizing Python programming. Proficiency in Python and core libraries (Pandas, NumPy, SciPy). Familiarity with SQL and database management. Understanding of data visualization methods. Basic grasp of machine learning principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively. Desirable: Experience with machine learning frameworks (eg, scikit-learn, TensorFlow). Previous industry-specific experience. Certification in Python programming or data analytics.
19/04/2024
Job Title: Python Data Analyst (1-3 years exp) Location: Pretoria East Job Type: Full-Time Introduction: We're seeking a meticulous and analytical Python Data Analyst to join our team. Ideal for those passionate about leveraging data for informed business decisions, with solid Python programming and data analysis skills. Key Responsibilities: Gather, clean, and interpret data from diverse sources with precision and relevance. Develop and manage data pipelines using Python libraries like Pandas, NumPy, and SQL. Conduct exploratory data analysis to unveil trends, patterns, and insights. Create and maintain dashboards and reports for stakeholders, utilizing visualization tools such as Matplotlib, Seaborn, or Tableau. Aid in building and applying machine learning models to address business challenges. Collaborate across teams to understand data requirements and deliver actionable insights. Document methodologies and results to ensure transparency and reproducibility. Requirements: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 1-3 years of data analysis experience, emphasizing Python programming. Proficiency in Python and core libraries (Pandas, NumPy, SciPy). Familiarity with SQL and database management. Understanding of data visualization methods. Basic grasp of machine learning principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively. Desirable: Experience with machine learning frameworks (eg, scikit-learn, TensorFlow). Previous industry-specific experience. Certification in Python programming or data analytics.
Company: This leading digital brand pride themselves on their data-driven approach and commitment to driving results through strategic analysis. Off the back of some recent investment, they seeking a talented and motivated Digital Implementation Analyst to join their team and to help continue to deliver exceptional performance. Position: As a Digital ImplementationAnalyst specilising with Adobe Analytics, you will play a crucial role in optimizing digital presence and driving measurable results. You will be responsible for analysing web and digital performance, user behavior, and digital marketing campaigns to provide actionable insights that inform strategic decision-making. The ideal candidate is passionate about data, possesses strong analytical skills, and thrives in a fast-paced, collaborative environment. Key Responsibilities: Analyze website traffic and user engagement metrics using tools such as Adobe Analytics, or similar platforms. Conduct in-depth analysis of digital marketing campaigns, including PPC, SEO, email, and social media, to assess performance and identify areas for improvement. Generate reports and dashboards that effectively communicate key findings and recommendations to internal teams and clients. Collaborate with cross-functional teams to implement tracking mechanisms, optimize website performance, and enhance user experience. Stay updated on industry trends and best practices in web analytics, digital marketing, and data analysis. Experience 3+ years of experience in web analytics or digital marketing analytics. Proficiency in web analytics tools such as Adobe Analytics, or similar platforms. Strong analytical skills with the ability to interpret complex data sets and draw actionable insights. Excellent communication skills with the ability to effectively present findings and recommendations to both technical and non-technical stakeholders. Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio is a plus. Knowledge of HTML, CSS, JavaScript, and SQL is preferred but not required. Why apply: Opportunity to work with a talented and collaborative team in a fast-growing digital analytics function Competitive salary and benefits package. Ongoing training and professional development opportunities. Fun and inclusive company culture with regular team events and activities. If you're passionate about leveraging data to drive business results and thrive in a dynamic, results-oriented environment, I want to hear from you! InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
18/04/2024
Full time
Company: This leading digital brand pride themselves on their data-driven approach and commitment to driving results through strategic analysis. Off the back of some recent investment, they seeking a talented and motivated Digital Implementation Analyst to join their team and to help continue to deliver exceptional performance. Position: As a Digital ImplementationAnalyst specilising with Adobe Analytics, you will play a crucial role in optimizing digital presence and driving measurable results. You will be responsible for analysing web and digital performance, user behavior, and digital marketing campaigns to provide actionable insights that inform strategic decision-making. The ideal candidate is passionate about data, possesses strong analytical skills, and thrives in a fast-paced, collaborative environment. Key Responsibilities: Analyze website traffic and user engagement metrics using tools such as Adobe Analytics, or similar platforms. Conduct in-depth analysis of digital marketing campaigns, including PPC, SEO, email, and social media, to assess performance and identify areas for improvement. Generate reports and dashboards that effectively communicate key findings and recommendations to internal teams and clients. Collaborate with cross-functional teams to implement tracking mechanisms, optimize website performance, and enhance user experience. Stay updated on industry trends and best practices in web analytics, digital marketing, and data analysis. Experience 3+ years of experience in web analytics or digital marketing analytics. Proficiency in web analytics tools such as Adobe Analytics, or similar platforms. Strong analytical skills with the ability to interpret complex data sets and draw actionable insights. Excellent communication skills with the ability to effectively present findings and recommendations to both technical and non-technical stakeholders. Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio is a plus. Knowledge of HTML, CSS, JavaScript, and SQL is preferred but not required. Why apply: Opportunity to work with a talented and collaborative team in a fast-growing digital analytics function Competitive salary and benefits package. Ongoing training and professional development opportunities. Fun and inclusive company culture with regular team events and activities. If you're passionate about leveraging data to drive business results and thrive in a dynamic, results-oriented environment, I want to hear from you! InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
Job Specification: Data Scientist Job Title: Data Scientist Job Description: An exceptionally competent and seasoned Data Scientist is desired to become a member of our dynamic team. The role of a Data Scientist entails the utilisation of sophisticated machine learning models and analytical techniques to extract insightful information from complex data sets. You will identify business problems, design, and implement data-driven solutions, and facilitate data-informed decision making in conjunction with multiple cross-functional teams. Key Responsibilities: Collect, clean, and preprocess data from multiple sources to create high-quality datasets for analysis. Develop and implement advanced statistical and machine learning models to solve complex business problems. Analyse and interpret data to uncover patterns, trends, and insights that can drive strategic decision-making. Effectively convey discoveries and suggestions to relevant parties, such as executives and cross-functional teams. Maintain current knowledge of the most recent data science methodologies, tools, and technologies, and consistently enhance your expertise. Mentor and collaborate with data analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure). Strong understanding of statistical methods, machine learning algorithms, and their applications. Excellent critical thinking and problem-solving abilities, as well as the capacity to translate business requirements into data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques.
18/04/2024
Full time
Job Specification: Data Scientist Job Title: Data Scientist Job Description: An exceptionally competent and seasoned Data Scientist is desired to become a member of our dynamic team. The role of a Data Scientist entails the utilisation of sophisticated machine learning models and analytical techniques to extract insightful information from complex data sets. You will identify business problems, design, and implement data-driven solutions, and facilitate data-informed decision making in conjunction with multiple cross-functional teams. Key Responsibilities: Collect, clean, and preprocess data from multiple sources to create high-quality datasets for analysis. Develop and implement advanced statistical and machine learning models to solve complex business problems. Analyse and interpret data to uncover patterns, trends, and insights that can drive strategic decision-making. Effectively convey discoveries and suggestions to relevant parties, such as executives and cross-functional teams. Maintain current knowledge of the most recent data science methodologies, tools, and technologies, and consistently enhance your expertise. Mentor and collaborate with data analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure). Strong understanding of statistical methods, machine learning algorithms, and their applications. Excellent critical thinking and problem-solving abilities, as well as the capacity to translate business requirements into data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques.