About the roleAs a Data Analyst at Sporty, you’ll be mining through petabytes of data to provide key insights that drive core business decisions. You’ll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders. Our StackMySQLPythonAirFlowAWSMetabaseRedshiftLinuxWhat you'll be doingAnalysing large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.Designing, defining, and monitoring core business KPIs to evaluate product and operational performance.Partnering with product, marketing, and business teams to translate business questions into structured data analysis.Delivering clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports.Developing and maintaining dashboards and reporting frameworks that enable self-service analytics.Conducting ad hoc analysis to support strategic initiatives and emerging business needs.Ensuring data quality and integrity by validating datasets and collaborating with data engineering teams when needed.What you'll bring3+ years experience in a similar data-driven role Strong experience in working with KPIs and OKRsExcellent working knowledge of SQL Familiarity with Python and a range of BI and data visualization toolsStrong knowledge with ETL data pipelinesStrong knowledge of A/B TestingFamiliarity with AirflowUnderstanding of principles of relational databases and data warehouse Strong understanding of sports and gaming will be beneficial Proactive and self-driven with excellent analytical skills Ability to thrive in a fast paced and dynamic environment Great communication skillsEven better if you haveHands-on experience with machine learningRelevant knowledge or experience in the gaming industryWorking knowledge of PythonExperience with Airflow and MetabaseWhat’s in it for youSporty is a remote first company in pursuit of sustainabilityA competitive salary + individual performance based bonuses every quarter28 days paid annual leaveOur core working hours are 10am-3pm in your local time zone with flexibility outside of thisReferral bonuses & flash bonusesTop of the line equipmentAnnual company retreats to provide great internal networking opportunitiesInterview ProcessRemote video screening with our Talent Acquisition Team Offline Take home assignmentRemote video interview with Team Members (90 Mins)If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

Data Analyst (Europe)

Emma

Responsibilities

Skills wanted:

Language(s) required:

About Sporty Group:

www.sportygroup.com/

Admin access needed