10 days ago

BI Analyst

Sporty Group

Hybrid
Full Time
$120,000
Hybrid

Job Overview

Job TitleBI Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$120,000
LocationHybrid

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Job Description

About the BI Analyst Role at Sporty Group

As a BI 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 Stack

Sporty Group leverages a robust technology stack including MySQL, Python, AirFlow, AWS, Metabase, Redshift, and Linux.

What You'll Be Doing as a BI Analyst

  • Setting up and executing extract, transformation and load (ETL) functions to build a data pipeline
  • Extraction and analysis of large data sets from MySQL
  • Performance tuning for current and newly added queries to the databases, ensuring the database resources are fully utilized
  • Delivering clear analysis and reporting of core business metrics to shareholders
  • Creation and management of reports and dashboards
  • Data management
  • Enhancing and optimising existing reporting processes
  • Ad hoc analysis and reporting to clients and shareholders
  • Aid in reconfiguring existing architecture and database structure to address our shareholder's evolving needs
  • Daily maintenance and monitoring of all BI related databases and dashboards, including proficient handling of emergencies
  • Providing actionable insight to drive growth of core products

What You'll Bring

  • 3+ years experience in a similar data-driven role
  • Excellent working knowledge of SQL
  • Familiarity with Python and a range of BI and data visualization tools
  • Strong knowledge with ETL data pipelines
  • Strong knowledge of A/B Testing
  • Familiarity with Airflow
  • Understanding 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 skills

Even Better If

  • Hands-on experience with machine learning
  • Relevant knowledge or experience in the gaming industry

What’s In It For You at Sporty Group

Sporty is a remote first company in pursuit of sustainability, offering a competitive salary + individual performance based bonuses every quarter, 28 days paid annual leave, and core working hours of 10 am-3 pm in your local time zone with flexibility. Additionally, you'll receive referral bonuses & flash bonuses, top of the line equipment, and annual company retreats for internal networking opportunities.

Interview Process

The interview process includes a remote video screening with the Talent Acquisition Team, an offline take-home assignment, a remote video interview with Team Members (60 Mins), and a final discussion with the hiring manager (60 mins). 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.

Key skills/competency

  • SQL
  • ETL
  • Data Analysis
  • Dashboarding
  • Reporting
  • Python
  • AWS
  • Redshift
  • A/B Testing
  • Airflow

Tags:

BI Analyst
Business Intelligence
Data Analyst
Data Mining
ETL
SQL
Reporting
Dashboarding
Data Visualization
A/B Testing
Performance Tuning
Data Management
Insight Generation
MySQL
Python
Airflow
AWS
Metabase
Redshift
Linux
Gaming Industry

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How to Get Hired at Sporty Group

  • Research Sporty Group's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their remote-first environment.
  • Tailor your resume for BI Analyst roles: Highlight extensive experience with SQL, ETL pipelines, Python, and data visualization tools, emphasizing achievements in data-driven decision-making.
  • Prepare for technical assessments: Practice advanced SQL queries, data modeling, performance tuning, and discuss your experience with AWS, Redshift, and Metabase.
  • Showcase analytical prowess: Be ready to discuss past projects, methodologies for data analysis, and how you delivered actionable insights to stakeholders, especially in sports/gaming.
  • Demonstrate proactive communication: Prepare examples illustrating your ability to thrive in a fast-paced, dynamic environment and communicate complex data findings clearly.

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