Analytics Engineer

OverviewAnalytics 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 and 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.
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