Analytics Engineer collaborating across Finance and Operations teams to optimize revenue analytics for Avetta’s SaaS platform. Driving insights to enhance operational efficiency and reporting accuracy.
About the role
- Data Analyst role focusing on analytics engineering for Kraken Utilities. Collaborating with product teams and clients to optimize data usage in the energy sector.
Responsibilities
- Build and maintain analytics data models using dbt, turning complex Kraken data into trusted, usable datasets
- Write advanced SQL every day to support data modelling, analysis, and real product and client questions
- Create dashboards and metrics that help Telco teams understand performance and make better decisions
- Align closely with Product Managers and Engineers to define metrics and shape insight
- Work directly with Kraken’s Telco clients, helping them navigate complex data models, answer real business questions, and represent Kraken confidently in data conversations
- Be part of a supportive client-support rota, handling incoming data questions with growing independence
- Collaborate in a Git-based workflow, contributing clean, well-reviewed code in a fast-moving team
Requirements
- Strong SQL skills, including complex queries and window functions
- Hands-on experience using dbt in a real production environment
- Experience building dashboards that are used by real stakeholders
- Familiarity with a modern data warehouse (Databricks, Snowflake, BigQuery, or similar)
- Confidence working with Git and collaborating through pull requests
- Ability to explain data clearly to non-technical stakeholders
- Client-facing or stakeholder-heavy analytics experience (nice to have)
- Experience with Lightdash, Looker, Tableau, or Power BI (nice to have)
- Exposure to Telco, utilities, or complex data domains (nice to have)
Benefits
- We want to ensure you have all the tools and environment you need to unleash your potential
- We do not discriminate on the basis of any protected attribute
- Equal opportunity employer
- Accommodations for the interview process
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Solutions Engineer designing and implementing scalable data solutions for News UK. Collaborating with teams to enhance data architecture and deliver tailored data products.
Analytics Engineer responsible for managing our data platform in the Data & Analytics team. Collaborating across the full data lifecycle from ingestion to self - serve analytics.
Senior Data Engineer responsible for development, configuration, and maintenance of ETL solutions at Coca - Cola. Act as a technical leader and mentor while improving business processes and ensuring code quality.
Analytics Engineer developing data pipelines and collaborating across teams for Star Stable Entertainment. Prioritizing performance and integrity in data management.
Senior Analytics Engineer building data pipelines and models for analytics at AI - first hiring platform in Stockholm. Collaborating closely with cross - functional teams for data - driven decisions.
SAP BRIM - Data Analytics Engineer designing, developing, and maintaining data pipelines and analytics models for SAP Billing and Revenue Management. Collaborating with teams to provide secure analytics solutions.
Data Analytics Specialist developing and enhancing reporting solutions using SSRS and Power BI at Aramark. Collaborating with IT teams and API integrations with partners.
Lead Data Analytics Engineer at Swiss Re, developing analytics solutions for Property & Casualty using big - data technologies. Mentoring engineers and collaborating in a global environment.
Engineering Manager overseeing analytics engineering and building data - driven solutions for healthcare data interoperability. Collaborating with cross - functional teams to enhance healthcare workflows.