26 to 50 of 78 Power BI Jobs in Slough

transformation roadmap. ✨ Reverse-engineer legacy Excel tools into scalable, intelligent financial and operational systems. ✨ Lead the selection and deployment of enterprise-grade software solutions, including ERP, RMS, and BI platforms. ✨ Build and maintain management dashboards, data repositories, and cross-functional BI tools (Power BI, Tableau, Looker, etc.). ✨ Establish robust data governance … financial planning, or digital transformation. ✅ Proven track record in a Big 4 firm, top-tier consultancy, or leading IT services provider. ✅ Hands-on expertise with ERP systems, RMS, BI tools, and enterprise data architecture. ✅ Strong analytical and financial modelling skills, with a deep understanding of AI and digital tools. ✅ Exceptional communication and stakeholder management skills, with the ability More ❯

clients at C-suite level to shape roadmaps & business cases Mentor and inspire global delivery teams while building internal capability 🎯 What We’re Looking For 10+ years in BI/Data Warehousing & analytics, with 4+ years in solution/technical architecture Strong banking domain expertise (essential) and insurance knowledge (advantage) Proven track record in enterprise data modelling … years minimum) Practical knowledge of BI tools (Power BI, Tableau, Qlik) Hands-on experience with GCP (preferred) , plus Azure/AWS exposure Strong leadership & consulting skills with experience in client-facing roles Cloud certifications (GCP/Azure/AWS) are highly desirable 🌍 Why Join? This is a chance to work with a global consultancy More ❯

the consultancy’s thought leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to … deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly with senior technical and business stakeholders. Enterprise Data Modelling: 3–5 years using ERwin, ER/Studio, Power Designer, or similar. BI/Reporting Tools: Familiarity with Power BI, Tableau, or Qlik. Certifications: Preferred – Cloud certifications in Azure, AWS, or GCP. More ❯

Dynamics 365 CE Developer to join their forward-thinking delivery team in London. This hybrid role is an excellent opportunity for an individual that excels in Dynamics CRM & Power Platform development and is eager to contribute to impactful projects. Key Responsibilities Demonstrate expertise in Dynamics 365 CE, with a strong understanding of how to maximise its capabilities and … functionalities Hands-on experience developing solutions using Power Platform, Power Apps, Power Automate & Power BI. Positive approach to collaborating with cross-functional teams to deliver tailored solutions that meet business needs. Skills Ability to create custom plugins using C# & JavaScript. Knowledge of low-code solutions using Power Platform. Strong communication More ❯

data analysis, business intelligence, or insights roles in a fast-paced environment. Experience working with large datasets and multiple data sources. Familiarity with data visualisation tools such as Power BI. Experience using statistical tools and software (e.g., SQL, Python, R). Experience within the energy sector, particularly EV charging infrastructure desirable. A/B testing or experimentation experience More ❯

the DACH region to identify trends and opportunities. Prepare reports, dashboards, and presentations to communicate insights to stakeholders. Assist in the implementation and optimization of SaaS tools (CRM, BI platforms, analytics software). Collaborate with sales, marketing, and customer success teams to support growth strategies. Translate data-driven insights into recommendations for improving product adoption and customer experience. … and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of More ❯

The ideal candidate will combine strong technical skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations … Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions, asset management, or wider financial services industry. Strong problem-solving, analytical, and communication skills — able to translate data into business insight. Location: London Finally More ❯

track record of proving how data delivers value. You’ll have: Strong SQL skills, with experience querying large datasets and working with data warehouses Background in data analysis, BI, or product analytics with evidence of driving business outcomes Familiarity with data modelling and ETL processes Ability to communicate insights in a way that drives decisions and measurable impact … Experience with BI tools such as Power BI or Tableau Confidence in managing multiple stakeholders and competing priorities Nice to Have Exposure to product experimentation or A/B testing Interest in digital product journeys and customer experience optimisation Experience with Python or Google Analytics What’s in It for You Competitive salary to More ❯

addition, you’ll support the development of reporting and analytics capabilities, ensuring data structures enable meaningful insights across diversity metrics, workforce planning, and operational dashboards. Working closely with BI teams, you’ll help unlock the full potential of the new HR system through actionable intelligence. This role demands a strong foundation in HR data architecture, relational databases, and … transformation techniques (e.g., ETL), along with hands-on experience in platforms like Workday, SuccessFactors, or Oracle HCM. Proficiency in Excel, SQL, and BI tools such as Power BI is essential, as is a deep understanding of data privacy and governance frameworks. You’ll bring excellent communication and stakeholder management skills, a collaborative mindset, and More ❯

Revenue Management System (RMS). Define data governance, workflows, and integration protocols. Business Intelligence & Reporting: Develop dashboards and reports to support strategic decisions. Promote cross-functional collaboration using BI platforms (e.g., Power BI, Tableau). Ensure real-time visibility of KPIs and financial metrics. Project & Change Management: Set up project tracking across departments. Drive More ❯

Experience with multiple types of data – panel data, census data Experience and proficiency in the following: Database management proficiency/SQL Python (specifically for data analysis) Data visualisation (Power BI) Microsoft Office suite (Excel/PowerPoint) Familiarity with cloud data platforms (Data Bricks, Snowflake) Excellent communication skills, both verbal and written, with the ability to control More ❯

Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications More ❯

at senior levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that More ❯

structures , schemas , and normalisation principles. Skilled in creating impactful data visualisations and dashboards. Familiarity with data quality and governance principles . Desirable (or trainable) Experience: Tools such as Power BI , Alteryx , Azure Synapse , or Azure Fabric . Data modelling methodologies such as 3NF , Kimball , or Data Vault . If this sounds like an interesting position to More ❯

and insight communication. Strong technical and data modelling skills (e.g., SQL, Python or R). Proficiency in SPSS is desirable, but not essential. Proficiency in visualisation tools (e.g. Power BI, Tableau). Experience managing or working with cloud-based data infrastructure. Strong communication and storytelling skills, with the ability to convey insight clearly to non-technical More ❯

equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of Microsoft Azure, including DevOps. What’s More ❯

led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You take ownership More ❯

led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into actionable steps—consulting experience is a major plus. You take ownership More ❯

ETL/ELT processes , data modelling, and integration. Proficiency in Python for data analysis and machine learning. Familiarity with Hadoop/Spark for large-scale data processing. Advanced Power BI for data visualisation and insights. 8+ years’ professional services experience in client-facing roles. Excellent stakeholder management, communication, and consulting skills. What They’re Looking For More ❯

EY, or KPMG). • Excellent data analysis, reporting, and visualization skills. • Strong knowledge of IT infrastructure landscapes (servers, cloud, hardware assets, networks). • Advanced Excel; experience with SQL, Power BI, or similar analytics tools is a plus. • Exceptional attention to detail and problem-solving mindset. More ❯

and knows how to apply advanced data preparation and refinement techniques Significant experience leveraging SQL and Python for data querying Experience with different visualizations tools such as Tableau or PowerBI Experience in intermediate statistics Have knowledge of big data platforms Ability to present complex issues in simple and sophisticated insights Ability to combine visualizations from multiple sources to tell an More ❯

in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation Highly Valued: Investment Management exposure Senior stakeholder management experience AI technologies experience Power BI knowledge Outsource provider management Ready to Make Your Mark? This is more than a role - it's your opportunity to shape the future of data analytics. You'll work with cutting-edge technology, drive meaningful change, and develop expertise in one of finance's most dynamic sectors. Perfect for: Analytics professionals seeking to make a More ❯

problem-solving skills Commitment to achieving high standards Ability to write clear and concise technical documents Nice to have Payments industry experience Experience with SQL and/or BI tools such as Looker, Power BI, etc. and a strong understanding of how to manipulate data for requirement gathering and determining the success of business More ❯

and commercial analysis. Key Responsibilities Partner with Finance and Commercial teams to assess revenue performance, pricing strategy, and profitability across varied markets. Build and maintain SQL pipelines and Power BI dashboards to deliver clear, actionable insights. Lead and mentor a small analytics team, embedding best practice and consistency across the function. Establish reporting frameworks, data models … ensure analytics projects meet business requirements and are delivered successfully. About You The ideal candidate will have: Strong SQL skills and proven experience with data visualisation tools, particularly Power BI. A background in commercial or financial analytics, with the ability to translate data into strategic insights. Experience managing or mentoring analysts and fostering a best-practice culture. Excellent More ❯

pipelines and managing data workflows. Proficiency in PySpark, Python, SQL, or Scala. Strong data modelling and relational database knowledge. Solid understanding of GDPR and UK data protection. Preferred Power BI experience. Familiarity with legal industry platforms. Awareness of evolving data tools and technologies. Qualifications Degree in Computer Science, Data Engineering, or related field (desirable). Azure More ❯