1 to 25 of 125 Permanent Analytics Jobs in Berkshire

Education: -Bachelors degree in data science, Statistics, Mathematics, or a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning models, statistical analysis, and predictive analytics. -Experience designing experiments or modelling approaches to solve a specified business problem. More ❯

exposure to SSIS being a plus Present findings and influence decision-making through strong communication skills Required Skills: 5+ years in BI or data analytics roles Strong SQL/T-SQL and Excel proficiency Experience with Sisense or Power BI Exposure to data modeling , data warehousing , and ETL processes Excellent More ❯

managing the organization's data platform foundations. This role involves designing, implementing, and maintaining scalable, reliable, and secure data platforms to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git More ❯

datasets. Build and optimize ETL workflows to ensure efficient data integration and processing. Collaborate with data scientists, analysts, and engineers to support data modeling, analytics, and reporting needs. Leverage Python to implement robust data solutions, including automation and optimization tasks. Develop and maintain cloud data infrastructure using platforms like AWS More ❯

Knowledge of the Atlassian ecosystem, in particular Jira and Confluence. Certified Scrum Product Owner or equivalent certification. Familiarity with A/B testing, data analytics tools, and user research methodologies. Experience in UI/UX principles. Why us? Salary and Benefits: £30,000 - £40,000 depending on experience. Our team More ❯

best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop … and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT … ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality More ❯

best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop … and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT … ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality More ❯

best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop … and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT … ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality More ❯

accuracy Provide guidance to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

domain (e.g., Finance, Supply Chain/Purchasing, Demand B2B, Demand B2C, R&D) and the associated roadmaps towards unlocking these in alignment with the analytics product development strategy and priorities. The role bridges strategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance … transformation, and archiving processes. Monitor the operational performance of data systems and resolve escalated issues. Optimize processes to improve data availability, reliability, and usability. Analytics Enablement Support analytics and reporting needs by ensuring the availability of high-quality, well-documented, and governed datasets. Partner with analytics and data science teams More ❯

pattern identification and interpretation. Expertise in statistical methods and data modeling. Proficient in SQL, Python or R. Deep knowledge of Azure tools: Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Strong problem-solving abilities in data quality and accessibility. Soft Skills Client-facing and stakeholder management capabilities. Strong More ❯

pattern identification and interpretation. Expertise in statistical methods and data modeling. Proficient in SQL, Python or R. Deep knowledge of Azure tools: Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Strong problem-solving abilities in data quality and accessibility. Soft Skills Client-facing and stakeholder management capabilities. Strong More ❯

Technology - Deep knowledge of MS Data Platform technologies. - On prem and Azure knowledge - A good understating of all things data - data integration, warehousing, advanced analytics, etc - Strong knowledge of dimensional modelling techniques - Familiarity of data engineering tools and automation practices (CI/CD pipelines, DevOps etc) This is an excellent More ❯

Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity More ❯

Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

vs. velocity. Manage product backlog in ALM tools such as Jira, Azure DevOps, etc. Qualifications Bachelor's degree in software engineering, computer science, data analytics or a related field. 1 - 3 years of experience working as a business analyst, product owner or similar role. Highly motivated self-starter with a More ❯

education, experience and skills Bachelor's degree in a quantitative area, Master/Doctor's in a quantitative area is preferred. 8+ years of analytics/insights experience. An analytical mindset coupled with significant project management experience - PMP or similar certifications is a plus. Experience with assessing, managing, quantifying, and More ❯

an exhaustive library of skill enhancement resources from AWS, Cornerstone and other partners to help you upskill while on the job. Be it data analytics that piques your brain or content creation, there’s something for every kind of mind. A Culture of Belonging Synamedia is committed to promoting a More ❯

ve worked cross-functionally in data-driven environments Relevant degree or certification in a data-related field , such as Computer Science, Information Systems, Data Analytics, or equivalent. Certifications in Master Data Management, Data Governance, or Profisee MDM are advantageous. A digital-first mindset : You embrace change, collaboration, and innovation like More ❯

Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA). Drive adoption of GenAI-powered tools for self-service automation, analytics, and search capabilities, while providing leadership and mentorship to AI and engineering teams. Identify and mitigate AI risks (e.g., model drift, data bias) and continuously More ❯

Skills: DevOps & Automation: Familiarity with DevOps practices, Azure DevOps, CI/CD pipelines, PowerShell, and automation scripting. Monitoring & Management: Experience with Azure Monitor, Log Analytics, and Application Insights. Power Platform: Experience with Power Apps, Power Automate, and Power BI to create business solutions. Certifications: Microsoft certifications such as AZ More ❯