Analytics Engineer
New Yesterday
Overview
Analytics Engineer to join our data team to shape and scale our analytics ecosystem. You’ll sit at the intersection of data engineering and business intelligence, modeling and integrating data from multiple sources into our data lake so it is accessible, reliable, and ready for advanced analysis. You’ll turn complex datasets into clear, actionable insights, showcased in aesthetic, user-friendly Tableau dashboards and other reporting services that empower teams to make impactful decisions.
This is a remote-first role, open to candidates who reside in the UK and are eligible to work there full-time.
Responsibilities
- Integrate and model data from multiple sources in the company’s data lake to enable advanced analysis and accurate reporting
- Develop scalable and robust data solutions, including DAGs, documentation, and data structures such as dimensions, facts, and aggregations
- Ensure data accuracy, quality, and validity across processes and outputs
- Build and maintain reliable, business entity-centered models and data marts that support decision making
- Design and deliver clear, aesthetic, and user-friendly dashboards in Tableau
- Provide actionable, data-driven insights to Tebex stakeholders to drive business growth
- Collaborate closely with teams across Tebex to understand data needs and deliver effective solutions
- Promote and support a data-driven culture, empowering teams to explore and leverage data effectively
Requirements
- 4-5 years of experience as an Analytics Engineer, BI Analyst, or Data Engineer with hands-on work building scalable data solutions
- Proven expertise in SQL, including advanced queries, optimization, and data modeling, in a cloud data warehouse environment, preferably Snowflake
- Strong experience with ETL/ELT processes and orchestration tools such as Airflow or similar for DAGs
- Familiarity with data warehouse and data lake architectures, including fact and dimension tables, aggregations, and entity-based models
- Solid experience with visualization and reporting tools: Tableau is required and Redash is a plus
- Ability to translate complex datasets into clear, actionable business insights and communicate them effectively to stakeholders
- Passion for data quality, accuracy, and validation with strong attention to detail
- Experience working cross-functionally to understand business needs and deliver data-driven solutions
- Excellent analytical skills, curiosity, and the drive to champion a data-driven culture
- Strong English communication skills, both written and verbal
- Proficiency in dual-wielding battle axes
Bonus Points
- Hands-on experience developing data pipelines in Rivery
- Experience with predictive analytics methods
- Experience with Redash
- A passion for gaming
What You’ll Get
- Remote Work: Work from home or anywhere that works for you
- Private Health Insurance: Comprehensive coverage for your peace of mind
- Stock Options: Be part of our shared success
- Wellness Reimbursement: Support for mental health therapy, fitness activities, classes, and related equipment
- Gaming Allowance: A dedicated budget for games and gaming equipment
- Vacation & Holidays: 33 paid days off per year (including UK bank holidays)
- Annual Compensation Review: Ensuring your package remains competitive and rewarding
- Personal Development Budget: For courses, training, and professional growth
Note: Referrals increase your chances of interviewing at Overwolf.
- Location:
- City Of London
- Job Type:
- FullTime
- Category:
- IT & Technology
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