data analytics developer

G&W Electric Company

<div>Data Analytics Developer II
Position Summary
The Data Analytics Developer II independently designs, develops, supports, and maintains dashboards, reports, analytical applications, and low-code solutions that transform enterprise data into actionable business insights. This role combines business intelligence development, data modeling, application development, automation, and emerging AI technologies to support decision making across the organization.
The Developer II partners closely with business stakeholders, Data Analytics Analysts, Data Analytics Engineers, and technical teams to deliver scalable analytics and automation solutions. This role requires the ability to lead moderately complex development efforts, translate business requirements into effective solutions, optimize user experience and performance, and promote analytics adoption across the organization.
Key Responsibilities
<ul><li>Design, develop, test, deploy, and maintain dashboards, reports, and analytical applications using Incorta and other analytics platforms.</li>
<li>Develop and support business semantic models, reporting structures, and reusable analytics components.</li>
<li>Create, enhance, and maintain Microsoft Power Apps and Power Automate solutions.</li>
<li>Collaborate directly with business stakeholders to understand reporting, dashboard, automation, and application requirements.</li>
<li>Translate business requirements into scalable, reliable, and user-friendly analytics solutions.</li>
<li>Develop self-service analytics capabilities and improve user access to trusted business data.</li>
<li>Participate in AI-enabled business solutions including copilots, intelligent workflows, predictive applications, and analytics automation.</li>
<li>Optimize dashboard performance, usability, visual design, and user experience.</li>
<li>Support testing, validation, deployment, troubleshooting, and ongoing support of analytics solutions.</li>
<li>Create and maintain user documentation, technical documentation, and training materials.</li>
<li>Promote best practices for visualization, usability, analytics adoption, and development standards.</li>
<li>Partner with Data Analytics Engineers to understand data models, data quality, source systems, and performance considerations.</li>
<li>Recommend improvements to reporting processes, analytics design, solution architecture, and user adoption.</li>
<li>Serve as a technical resource to junior developers, analysts, and business users.</li>
</ul>
Qualifications
<ul><li>Bachelor&rsquo;s degree in Information Systems, Computer Science, Analytics, Business, Data Science, or related field.</li>
<li>3&ndash;5 years of experience developing dashboards, reports, business intelligence solutions, low-code applications, analytical applications, or related technical solutions.</li>
<li>Strong SQL and data analysis skills.</li>
<li>Experience developing dashboards and business intelligence solutions.</li>
<li>Experience gathering, interpreting, and translating business requirements into technical solutions.</li>
<li>Experience developing or supporting business semantic models and reporting structures.</li>
<li>Strong understanding of visualization design, reporting usability, and analytics adoption.</li>
<li>Strong analytical, problem-solving, troubleshooting, and communication skills.</li>
<li>Ability to work independently with business stakeholders and technical teams.</li>
<li>Ability to manage multiple priorities and deliver high-quality analytics solutions.</li>
</ul>
Preferred Qualifications
<ul><li>Experience with Incorta.</li>
<li>Experience with Microsoft Power Platform, including Power Apps and Power Automate.</li>
<li>Familiarity with AI and Generative AI technologies.</li>
<li>Experience with UX/UI design principles.</li>
<li>Manufacturing and ERP reporting experience.</li>
<li>Experience with dashboard performance optimization.</li>
<li>Experience supporting self-service analytics capabilities.</li>
<li>Experience mentoring junior developers or supporting technical standards.</li></ul></div>

Data Analytics Developer II

<div></div><div><div><h4 class="jobSectionHeader">Job details</h4>
</div><div><div><div>Posted 24 June 2026
</div><div>Salary &pound;80000 - &pound;90000 per annum
</div><div>LocationLondon
</div><div>Discipline Actuarial &amp; Risk
</div><div>ReferenceJC230626SD
</div></div></div><div><h4 class="jobSectionHeader">Job description</h4>
<div>I'm currently working with a global (re)insurer looking to hire a Developer - Exposure Analytics to join a growing Analytics &amp; Exposure Management team.
This is a great opportunity for a developer who enjoys building analytical tools, working with large datasets, and applying modern technologies (including AI) to solve business problems.
Key responsibilities:
<ul><li>Build web-based tools to deliver exposure and portfolio insights</li>
<li>Integrate analytics platforms with modern data lake architecture</li>
<li>Develop solutions using AI, natural language querying, and automation</li>
<li>Support exposure and financial calculation engines using standard data formats</li>
<li>Collaborate with Underwriting, Pricing, Claims, and Data teams</li>
</ul>A strong role at the intersection of development, data, and insurance analytics, with broad exposure to key business areas.
Please apply for more information:</div></div></div>
 <div><ul><li><h5 class="jobSectionHeader">Jono Conolly</h5>
</li><li>Jono
</li><li>+44 (0) 207 220 1104</li></ul></div>

Developer - Exposure Analytics

Tandem Interim

<div>
 
 Hiring: Data Quality Developer
 
 
 
 
 
 📍 Abu Dhabi, UAE (Onsite)
 
 
 📅 12-Month Contract
 
 
 🏢 Management Consulting Firm
 
 
 
 
 
 A leading consulting firm is seeking a
 
 Data Quality Developer
 
 to support a large-scale government data transformation program in Abu Dhabi.
 
 
 This role focuses on designing, implementing, and automating data quality controls across source systems, ETL/ELT pipelines, and analytical platforms to ensure data is accurate, complete, consistent, and reliable.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Perform data profiling and analysis to identify quality issues across source systems.
 </li>
 <li>
 Develop automated validation checks across ETL/ELT pipelines.
 </li>
 <li>
 Validate schema changes, data types, constraints, and referential integrity.
 </li>
 <li>
 Detect and investigate anomalies, duplicates, missing values, and out-of-range data.
 </li>
 <li>
 Build reusable data quality frameworks using SQL, Python, or similar technologies.
 </li>
 <li>
 Implement automated reconciliation, regression testing, and validation processes.
 </li>
 <li>
 Monitor critical data pipelines and investigate data quality incidents.
 </li>
 <li>
 Conduct root cause analysis and work with engineering teams to resolve issues.
 </li>
 <li>
 Document validation logic, business rules, and data quality controls.
 </li>
 <li>
 Contribute to enterprise data quality standards, frameworks, and best practices.
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 5&ndash;7 years of experience in Data Quality, Data Engineering, Analytics Engineering, or related fields.
 </li>
 <li>
 Strong hands-on experience supporting production ETL/ELT environments.
 </li>
 <li>
 Experience developing automated data validation and quality controls.
 </li>
 <li>
 Advanced SQL skills for profiling, reconciliation, and validation.
 </li>
 <li>
 Experience with Python or other scripting languages.
 </li>
 <li>
 Familiarity with data warehouses, data lakes, and modern data platforms.
 </li>
 <li>
 Experience with workflow orchestration and scheduled pipelines.
 </li>
 <li>
 Strong troubleshooting, debugging, and problem-solving skills.
 </li>
 <li>
 Ability to work closely with Data Engineers, BI teams, and Analytics teams.
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Experience with Data Quality tools and frameworks.
 </li>
 <li>
 Exposure to government or large-scale enterprise data environments.
 </li>
 <li>
 Experience with metadata management or data cataloging solutions.
 </li>
 <li>
 Knowledge of statistical and rule-based validation techniques.
 </li>
 <li>
 DAMA, CDMP, or Data Governance certifications.
 </li>
 </ul>
 
 
</div>

Data Quality Developer

Muller's Solutions

<div>Job Summary
We are seeking an experienced Power BI Developer with 5&ndash;6 years of experience in designing and delivering enterprise-grade business intelligence solutions. The ideal candidate should have strong expertise in Power BI, DAX, Power Query, SQL, BigQuery, data modeling, and Row-Level Security (RLS). The candidate will be responsible for developing interactive dashboards and analytical solutions that support business decision-making, with a focus on KPI reporting, inventory analytics, and executive dashboards.
Key Responsibilities<ul><li>
Design, develop, and maintain interactive and visually compelling Power BI dashboards and reports.
</li><li>Build and optimize KPI dashboards, inventory analytics solutions, and executive reporting dashboards.
</li><li>Develop complex calculations and business logic using DAX.
</li><li>Use Power Query to perform data extraction, transformation, and preparation activities.
</li><li>Design and implement scalable and efficient data models to support reporting and analytics requirements.
</li><li>Develop and optimize SQL queries and integrate data from BigQuery and other enterprise data sources.
</li><li>Implement and manage Row-Level Security (RLS) to ensure secure access to data.
</li><li>Collaborate with business stakeholders to gather requirements and translate them into analytical solutions.
</li><li>Monitor, troubleshoot, and optimize report performance and data refresh processes.
</li><li>Ensure data accuracy, consistency, and adherence to data governance standards.
</li><li>Support report deployment, maintenance, and enhancements across development and production environments.
</li><li>Provide documentation, user training, and ongoing support for BI solutions.</li></ul> 

Requirements 

Technical RequirementsMust-Have Skills<ul><li>
5&ndash;6 years of experience in Business Intelligence or Power BI development.
</li><li>Strong hands-on experience with:
</li><li><ul><li>Power BI
</li><li>DAX
</li><li>Power Query
</li><li>SQL
</li><li>Google BigQuery
</li><li>Data Modeling
</li><li>Row-Level Security (RLS)
</li></ul></li><li>Experience in developing enterprise-level dashboards and reporting solutions.
</li><li>Strong understanding of data warehousing concepts and BI best practices.
</li><li>Experience in data integration, transformation, and performance optimization.
</li><li>Proficiency with version control and collaborative development practices.
</li></ul>Good-to-Have Skills<ul><li>
Experience with Paginated Reports in Power BI Report Builder.
</li><li>Experience in Power BI Service administration, including workspace management, gateways, and deployment pipelines.
</li><li>Knowledge of data governance, data quality, and security practices.
</li><li>Experience integrating Python or R within Power BI for advanced analytics and visualizations.
</li><li>Familiarity with Azure DevOps for source control and release management.
</li></ul>Preferred Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and stakeholder management abilities.
</li><li>Experience working with enterprise-scale analytics and reporting platforms.</li></ul></div>

Power BI Developer Immediate Joining (3Month)

Monarch Solicitors

About the roleWe're looking for a technically strong Developer &amp; Data Analyst who can turn our business data into clear, useful insight, automate the repetitive work that slows us down &mdash; and also own our day-to-day bookkeeping. This is a hands-on, build-things role: you'll write the automations, wrangle the data, maintain the reporting, and keep our financial records accurate and current. You'll work closely with [the owner / leadership / the operations team] and have visibility across the whole business.It suits someone who likes building and problem-solving as much as working with numbers &mdash; automating a tedious process, cleaning a messy dataset, and explaining what the results mean to people who aren't technical.What you'll doData &amp; analysis<ul><li>Pull, clean, and organise data from across the business (finance, sales, operations, marketing)</li><li>Build and maintain dashboards and reports that track our key metrics</li><li>Answer business questions with data &mdash; e.g. what's driving cost, revenue, or churn</li><li>Identify trends, inefficiencies, and opportunities, and present them clearly</li><li>Support decisions with well-reasoned analysis, not just charts</li></ul>Automation &amp; development<ul><li>Automate repetitive finance and reporting tasks &mdash; recurring reports, data pulls, reconciliation prep, invoice reminders</li><li>Build and maintain scripts, spreadsheet automations, and templates that cut manual data entry</li><li>Connect the tools we already use so data flows between them with less hand-holding (built-in integrations, APIs, or no-code tools like Zapier/Make)</li><li>Document what you automate and monitor it so failures get caught early</li><li>Spot manual processes that are eating time and propose sensible ways to streamline them</li></ul>Bookkeeping &amp; accounting<ul><li>Record and categorise daily transactions, keeping the books accurate and current</li><li>Perform monthly bank and account reconciliations</li><li>Manage accounts payable and receivable, including invoicing and chasing payments</li><li>Maintain the chart of accounts and keep records audit-ready</li><li>Prepare monthly financial summaries (P&amp;L, cash flow, balance sheet basics)</li><li>Coordinate with our external accountant/CPA at tax time and hand over clean records</li><li>Track expenses, flag anomalies, and help with budgeting</li></ul>What we're looking forRequired<ul><li>Strong technical skills in software engineering / IT &mdash; comfortable scripting and building automations</li><li>Comfort working with data: cleaning messy datasets, choosing sensible comparisons, explaining findings</li><li>Advanced spreadsheet skills (Excel/Google Sheets &mdash; pivot tables, lookups, clean modelling)</li><li>A degree in Computer Science, Data Analytics, Information Systems, or a related field &mdash; or equivalent proven experience</li><li>Solid working knowledge of accounting software, plus the bookkeeping fundamentals to keep our books accurate (hands-on experience or a Finance/Accounting background)</li><li>High attention to detail and a habit of double-checking your own work</li><li>Ability to communicate technical and financial insights to non-technical people</li></ul>Nice to have<ul><li>SQL or a data tool (Python, Power BI, Tableau, Looker, etc.)</li><li>Experience automating workflows with no-code tools (Zapier, Make) or light scripting</li><li>A relevant credential in Data Analytics, Information Systems, or Accounting/Finance</li><li>Experience working in a small-business or startup environment</li></ul>What success looks like<ul><li>Manual, repetitive tasks shrink over time as you automate them</li><li>Recurring questions get answered with reliable data instead of guesswork</li><li>Leadership can trust the numbers and the reporting</li><li>The books are always accurate and reconciled on time</li><li>You proactively surface things we should know about &mdash; risks, savings, and opportunities</li></ul>How to applySend your CV/resume and a short note about your relevant experience to enquiries@monarchsolicitors.com.Work Location: In personPay: AED3,000.00 - AED5,000.00 per monthWork Location: In person

Developer & Data Analyst

Ci&T

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
 
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
 
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
 
We're looking for a contractor to join us on a 6 month basis to help with a project in the financial services sector focussing on their DBT Modelling, cross-domain data products and trusted analytics-ready datasets.
 
In this role you'll: 
Build and maintain DBT models for cross-domain analytics use cases
 Create reusable facts, dimensions and marts for analytics consumption
 Support cross-domain data products such as Churn, LTV, Segmentation and Customer Intelligence
 Implement dbt tests, source freshness checks and reconciliation logic
 Translate business requirements into data models and metric logic
 Support data quality checks and model validation
 Document model definitions, business rules, assumptions and lineage
 Work closely with analytics and domain teams to ensure datasets are fit for reporting and decisioning
 
We need someone with these skills: 
Strong hands-on experience with DBT
 Strong SQL and Snowflake experience
 Experience building facts, dimensions, marts and analytics-ready data models
 Strong understanding of data modelling and metric design
 Experience implementing dbt tests, source freshness checks and data quality validations
 Ability to translate business requirements into trusted data models
 Experience working with analysts, product teams and business stakeholders
 Good documentation skills for model logic, metric definitions and lineage
 Experience working in modern data stack environments
 
Collaboration is our superpower, diversity unites us, and excellence is our standard.
 We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

[29868] - Data Analytics Engineer - DBT Modelling (Contract)

<div>Data Analytics Engineer I
Position Summary
The Data Analytics Engineer I supports the design, development, maintenance, and optimization of the enterprise analytics data platform. This role assists with data pipelines, data models, integration processes, data quality controls, and analytical capabilities that support reporting, AI initiatives, automation, and enterprise decision making.
The Engineer I works with Data Analytics Engineers, Developers, Analysts, and business stakeholders to ensure enterprise data is reliable, accessible, and usable for analytics solutions. This role is intended for an early-career data engineering professional with strong technical aptitude who can contribute to data integration, data modeling, SQL development, documentation, testing, and platform support while continuing to build deeper expertise in enterprise data architecture and advanced analytics.
Key Responsibilities
<ul><li>Design, develop, test, and maintain data pipelines and integration processes under appropriate guidance.</li>
<li>Build and support data models used for enterprise analytics, dashboards, reporting, and business semantic layers.</li>
<li>Support data ingestion from ERP, CRM, manufacturing, quality, and other operational systems.</li>
<li>Develop and maintain data quality monitoring, validation, and reconciliation processes.</li>
<li>Support Incorta platform architecture, data modeling, performance monitoring, and optimization activities.</li>
<li>Develop SQL scripts, data transformations, and technical solutions to support analytics needs.</li>
<li>Support Python-based automation, analytics, and AI-related solutions.</li>
<li>Assist with machine learning, predictive analytics, and intelligent automation initiatives.</li>
<li>Implement data governance standards, metadata management practices, and technical documentation requirements.</li>
<li>Document data architecture, data lineage, integration processes, technical standards, and support procedures.</li>
<li>Collaborate with Developers and Analysts to ensure data availability, consistency, accuracy, and usability.</li>
<li>Troubleshoot data issues, pipeline failures, performance concerns, and reporting discrepancies.</li>
<li>Build knowledge of enterprise source systems, data architecture, cloud data platforms, AI technologies, and analytics engineering practices.</li>
</ul>
Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, Analytics, Data Science, or related field.</li>
<li>0&ndash;3 years of experience in data engineering, database development, ETL/ELT development, data integration, analytics engineering, reporting data models, or related technical work.</li>
<li>Strong SQL and database development skills.</li>
<li>Experience with ETL/ELT processes, data modeling, and data transformation.</li>
<li>Strong analytical, troubleshooting, and problem-solving capabilities.</li>
<li>Understanding of data quality, data validation, and reconciliation practices.</li>
<li>Ability to work collaboratively with technical teams and business stakeholders.</li>
<li>Strong attention to detail and commitment to reliable, accurate data.</li>
<li>Ability to learn enterprise platforms, source systems, data architecture, and emerging analytics technologies.</li>
</ul>
Preferred Qualifications
<ul><li>Experience with Incorta.</li>
<li>Experience with Python development.</li>
<li>Familiarity with machine learning and AI technologies.</li>
<li>Exposure to cloud-based data platforms.</li>
<li>Manufacturing and ERP data experience.</li>
<li>Experience with metadata management, data lineage, or data governance practices.</li>
<li>Experience supporting data pipelines for reporting, dashboards, or analytical applications.</li></ul></div>

Data Analytics Engineer I

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