DOMO Data Analyst

Akkodis
Stevenage
1 month ago
Applications closed

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Scope

Akkodis 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.


Role

As 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.

Responsibilities

  • 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.

Required Skills

  • 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.

Required Experience

  • 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, datasets, dataflows, connectors).
  • Demonstrated experience extracting and integrating data from platforms such as Pega and Adobe, SaaS applications, APIs, and public data sources.
  • Proven record of delivering data‑driven insights, advanced analytics, and predictive models.
  • Experience implementing AI or machine learning solutions for business intelligence is an advantage.
  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field.
  • Certifications in DOMO, AWS, Azure, or Data Analytics are highly preferred

Required education

  • Bachelor’s degree in information technology, Computer Science, Data Science, or a related field.

Seniority level

Mid‑Senior level


Employment type

Full‑time


Job function

Consulting


Industries

IT Services and IT Consulting, Armed Forces, and Engineering Services


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