1 to 25 of 135 SQL Jobs in Slough

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) 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 More ❯

with data governance and compliance regulations (e.g., GDPR, HIPAA). • Strong experience of Agile practises and especially scrum of scrums and Atlassian tooling. • Proficiency in database management systems (e.g., SQL, NoSQL). • Experience of data analytics tool such as Python and R. • Data modelling tooling such as Power Designer. • Experience of BI tools. • Experience of working with Data Office departments. More ❯

and archival strategies in cloud environments. Strong understanding and practical implementation of Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing. Advanced programming skills in Python, PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-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 More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-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 More ❯

analytical role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-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 More ❯

Technical Skills: Degree or 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 More ❯

practices Your Skills: Proven experience in an analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques More ❯

Experience The ideal candidate will be able to demonstrate: 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 More ❯

a broad set of stakeholders, and requires the ability to construct well-structured and reasoned narratives. Reasonable fluency in a scripting language (Python or Awk) for data analysis Basic SQL to access and analyse Oracle DB data Basic Unix skills Our systems are complex, need to be self-starting at using multiple resources (people, specifications, Confluence, legacy documents etc.) to More ❯

business models, metrics, 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 Python, R, or More ❯

Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling, data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

user engagement pattern and a Product feature? What could be driving this correlation and how can this help us achieve our business objectives? etc.. ). Qualifications: Intermediate level of SQL, Python, BI Tools (e.g. Looker, PowerBI, Tableau) and Product Analytics Tools (e.g. Adobe Analytics, Amplitude, Mixpanel). Ability to set up behavioural tracking measurement plans (e.g. designing events schemas). More ❯

in a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build More ❯

online retail business model is a plus. 3、Language: Excellent English listening, speaking, reading and writing skills, usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL, capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities More ❯

and improving platform and product performance through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects More ❯

Be the bridge between data teams and business stakeholders—ensuring the platform delivers real, measurable value What You Bring Deep hands-on experience with Azure, Databricks, Power BI, and SQL (Business Objects a bonus) Proven track record leading technical teams in enterprise-scale data environments Strong understanding of service management, with experience managing SLAs, vendors, and spend Great communication and More ❯

product, insights, or digital analytics . Proven ability to lead, mentor, and inspire analysts A strategic thinker who can influence product direction and bring stakeholders on the journey Strong SQL expertise and confident with complex queries Skilled in visualisation tools (Tableau, Looker, Power BI) and presenting data in a way that drives action Hands-on with web analytics tools (Google More ❯

contribute to the success driving innovation and excellence in our network infrastructure. Essential Technical Skills: Front-end: Angular, TypeScript Back-end: Java, Python, Spring Boot Database: MongoDB, PL/SQL,NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Desirable Skills: Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Cloud Platforms (AWS, Azure, Google More ❯

Strong project management skills Strong 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 outcomes More ❯

in a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build More ❯

in a highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build More ❯