17 of 17 SQL Jobs in Bolton

analytical skills. Strong teamwork, communication, and stakeholder engagement abilities. Ability to translate business requirements into practical, scalable solutions. Desirable: Experience with Microsoft 365, Azure, and Dynamics 365. Familiarity with SQL and data management. Basic knowledge of JavaScript or C# for custom integrations. What’s on Offer Bonus scheme Hybrid working (3 days office-based) Free on-site parking Interested? Please More ❯

grow easily. Experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured More ❯

of actively pursuing personal GenAI projects outside of work. Strong Accessibility, Security, Performance and Caching coding. Set yourself apart: Experience with building datastore solutions on at least one No-SQL(Elasticsearch). Proven ability to apply analytical and creative thought and translate into technical solutions. Proven ability to debug and resolve complex technical issues. Excellent leadership, communication (written and oral More ❯

Extensive experience in BI, Sales Analytics, or Revenue Operations, with experience operating in a lead or senior role. Expertise in BI tools (Tableau, Power BI, Looker, etc.) and strong SQL skills. Experience working with CRM platforms (Salesforce preferred) and sales performance data. Strong understanding of B2B SaaS sales cycles, funnel metrics, and forecasting best practices. Exceptional analytical, problem-solving, and More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

across teams to turn insights into product features Ensure compliance, scalability, and reliability of ML systems Skills Required Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus More ❯

the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally More ❯

gain exposure to learning data, transactional data, and other core business datasets. Key Responsibilities Manage and enhance Power BI dashboards and reports, taking ownership of the reporting backlog Use SQL for data extraction and manipulation Support analysis and visualisation using Python (desirable) Turn complex data into clear, actionable insights that inform business decisions Your Skills & Experience Strong SQL skills Experience More ❯

Development & Integration: RESTful API design and consumption. Experience with BigCommerce APIs, Pimberly APIs, and third-party integrations (e.g., ERP, CRM, payment gateways). OAuth2, token-based authentication, and webhooks. SQL/Oracle PL/SQL Writing complex queries, stored procedures, and performance tuning. Data migration, reporting, and integration with backend systems. Retail & B2B Business Models Understanding of B2B workflows: bulk More ❯

Development & Integration: RESTful API design and consumption. Experience with BigCommerce APIs, Pimberly APIs, and third-party integrations (e.g., ERP, CRM, payment gateways). OAuth2, token-based authentication, and webhooks. SQL/Oracle PL/SQL Writing complex queries, stored procedures, and performance tuning. Data migration, reporting, and integration with backend systems. Retail & B2B Business Models Understanding of B2B workflows: bulk More ❯

systems, see where their data lies, what it shows - build out some reports and provide recommendations – eventually looking at building strategies and help streamline some processes. You’ll use SQL and Python to a high level and be familiar with Financial Data. Ideally collections and recoveries data. Key Responsibilities: Analyse performance of UK debt portfolios to identify opportunities for customer … execute data cleansing and enrichment processes to enhance value-added services for third-party clients. You: You’ll be Degree Educated in a quant field You’ll have solid SQL and Python – these are non-negotiables Statistical Analysis experience of large data sets You’ll have 2 years PLUS Analytics experience, ideally in Insight, Risk or ideally in some sort … made the next day once the data is checked. You’ll need to be able to pass a UK Credit and DBS check. Keywords: Data Science, Analyst, Senior Analyst, SQL, Python, Analyst, Data Analyst, Collections Analyst, Forecasting, Statistical Analysis, MI, Modelling, Analyst, Dat Science, Collections Analyst More ❯

segmentation : Build customer segmentation, leveraging and influencing the output of our Decision Science team. Comfortable optimising for commercial and customer outcomes and building testing frameworks. MI and Reporting : Use SQL and Power BI to build your own reports, guiding strategic decision making.Comfortable working with stakeholder to refine requirements and independently to leverage our own insight. Team Development : Play an active … Does this sound like you? Minimum of 3 years’ experience in a similar role within the debt purchase, recovery, or financial services industry. Strong data analysis and reporting skills ( SQL + visualising tool e.g. PowerBI, Looker etc. ) with the ability to drive insight from complex and disparate datasets Excellent written and verbal communication skills with the ability to distil complex More ❯

segmentation : Build customer segmentation, leveraging and influencing the output of our Decision Science team. Comfortable optimising for commercial and customer outcomes and building testing frameworks. MI and Reporting : Use SQL and Power BI to build your own reports, guiding strategic decision making. Comfortable working with stakeholder to refine requirements and independently to leverage our own insight. Team Development : Play an … Does this sound like you? Minimum of 3 years’ experience in a similar role within the debt purchase, recovery, or financial services industry. Strong data analysis and reporting skills ( SQL + visualising tool e.g. PowerBI, Looker etc.) with the ability to drive insight from complex and disparate datasets Excellent written and verbal communication skills with the ability to distil complex More ❯

GA4, SMC and other data tools. Provide colleagues with actionable insight to drive channels growth, inform digital strategy and drive commercial performance. Build, own and develop dynamic reporting dashboard (SQL, Power BI, Big Query, Tableau etc) Own the execution of A/B testing roadmaps, identifying problem areas in the customer journey Partner with colleagues in marketing to develop data … stakeholders – both internals and third parties Manage and evolve data and digital KPIs The person Proven experience in a digital analytics role in a customer facing environment Comfortable using SQL, Power BI, GA4, Tableau, Excel etc Articulate and able to tell a story driven by data, bringing it to life for wider team member Passionate about delivering a best in More ❯

Title: Snowflake Developer (Permanent, Hybrid) We have an open position for a Snowflake Developer based in our Manchester office. Role: Snowflake Developer Location: Manchester Work Model: Hybrid (3 days in the office) Type: Permanent Key Requirements: Strong knowledge of Snowflake More ❯