Senior Data Analyst
Listed on 2025-12-14
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Senior Data Analyst
Direct message the job poster from Akkodis
ScopeAkkodis is launching a new technical delivery team to drive a UK national program in collaboration with key partners, designed to transform and future‑proof the central government’s workforce. By leveraging cutting‑edge technology, strategic partnerships, and a comprehensive SaaS‑based platform, this program will create an advanced, candidate‑centric experience tailored to meet tomorrow’s public sector skill demands.
This high‑impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data‑driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next‑gen digital infrastructure.
You’ll be integral to our mission of crafting a seamless, powerful platform that empowers the public sector with the talent to navigate an evolving digital landscape.
RoleAs part of this mission, the Data Analyst / Data Analytics Engineer will play a key role in driving Data Analytics, Reporting, and Insight generation using DOMO and modern data science tools.
- Design and develop DOMO dashboards (live and scheduled) to deliver meaningful business insights.
- Extract and integrate data from Pega applications, Adobe platforms, SaaS systems, APIs, and public data domains.
- Translate complex datasets into clear visualizations and actionable insights that support decision‑making.
- Apply data science and AI techniques to enhance analytical outcomes and forecasting accuracy.
- Ensure data quality, integrity, and governance across all reporting and analytics activities.
- Design, develop, and maintain DOMO dashboards (live and scheduled) that deliver real‑time business insights.
- Extract, transform, and integrate data from Pega systems, Adobe platforms, SaaS applications, APIs, and public data sources.
- Build and optimize data pipelines and ETL workflows for efficient and accurate data movement and transformation.
- Apply data science and AI techniques (predictive modelling, clustering, regression, NLP) to uncover trends and enable forecasting.
- Design scalable data models and analytics frameworks to support self‑service BI and advanced analytics.
- Collaborate with cross‑functional teams to define KPIs, reporting standards, and business metrics.
- Conduct data profiling, validation, and quality assurance to ensure high data integrity.
- Present analytical findings and actionable insights to both technical and non‑technical stakeholders.
- Ensure compliance with data governance, privacy, and regulatory standards across all data initiatives.
- DOMO Expertise:
Proven experience building and managing DOMO dashboards, dataflows, connectors, and datasets. - SaaS Analytics:
Experience working with SaaS‑based analytics platforms, integrating and reporting on SaaS product or usage data. - Data Integration:
Skilled in extracting and consolidating data from platforms such as Pega and Adobe, as well as APIs and public sources, for analysis and visualization in DOMO. - Data Analytics & Visualization:
Advanced SQL proficiency and strong understanding of visualization best practices. - Programming & Data Science:
Hands‑on with Python or R for analytics, modeling, and automation. - AI & Predictive Analytics:
Knowledge of AI/ML frameworks for building predictive and prescriptive insights. - ETL & Data Engineering:
Experience designing scalable ETL/ELT pipelines using modern tools and frameworks. - Cloud Platforms:
Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, ADF). - Data Governance:
Understanding of GDPR, PII, and secure data management principles. - Communication:
Strong data storytelling skills to simplify complex insights for diverse audiences. - Collaboration:
Proven ability to work effectively with engineers, developers, and business leaders.
- Minimum 5+ years of experience in data analytics, BI, or data science, preferably within SaaS‑based environments.
- At least 2+ years of hands‑on experience with DOMO (dashboards,…
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: