Senior Analytics Engineer

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AI Summary

Join our team as a Senior Analytics Engineer to build robust pipelines, data models, and innovative data products to drive impactful outcomes. You will craft solutions which level up our performance marketing programs. We prioritize security, data quality, reliability, and usability to ensure stakeholder confidence in our solutions.

Key Highlights
Build subject matter expertise of our business and data domains
Design data models, architect dataflows, and develop abstractions
Leverage modern data engineering practices and frameworks
Key Responsibilities
Build subject matter expertise of our business and data domains
Identify and analyze multi-structured data or metadata
Design data models, architect dataflows, and develop abstractions
Technical Skills Required
Python Data Modeling Marketing
Benefits & Perks
100% remote
Strong preference for candidates based near Vancouver who can work onsite approximately 3 days/week
Nice to Have
Critical thinker and problem solver
Proven track record building and optimizing analytic solutions

Job Description


Job Description:

Position Title: SENIOR ANALYTICS ENGINEER

Top Gaming Firm

Type: Contract on T4

Location: 100% remote. Open to candidates across all time zones with a preference for PST support. Strong preference for candidates based near Vancouver who can work onsite approximately 3 days/week; these candidates will be prioritized.


• Purpose of the Team: The purpose of this team is to support by preparing and managing data for analytics, reporting, and downstream use across AI/ML, marketing, and product systems.


• Key projects: This role will contribute to focusing on scaling and maturing performance marketing capabilities within the studio. This resource will be part of a broader set of roles driving expansion and optimization of marketing data and insights.



Candidate Requirements


• Disqualifiers: Repetitive, overly long, or generic or keyword heavy resumes that lack context on impact or outcomes (ex, just listing tools/tech without explaining business value) will likely be disqualified


• Best vs. Average: The ideal resume would contain resumes that clearly demonstrate how their work drives business impact (ex. improved performance, enabled decision making, supported marketing or product outcomes) and show strong critical thinking and problem solving in how they present their experience.



Hard Skills Assessments

• Expected Dates that Hard Skills Assessments will be scheduled: asap

• Hard Skills Assessment Process: The assessment process will include one round with the sponsor (45 minutes) . If needed, a second round with an FTE.

• Required Candidate Preparation: NA



SENIOR ANALYTICS ENGINEER, MINECRAFT

Minecraft is one of the most popular video games of all time, with more than 200 million copies sold worldwide across PC, console, and mobile. It inspires people around the world to create together—and has built one of the most active and passionate player communities in gaming.


We’re looking for a Senior Analytics Engineer to join the Player and Data Analytics team at Mojang Studios. In this role, you will build robust pipelines, well-crafted data models, and innovative data products to drive impactful outcomes. You will craft solutions which level up our performance marketing programs.


You are a critical thinker who will combine their technical expertise with a deep understanding of the business to deliver solutions which transform signals into actionable insights and data products. We prioritize security, data quality, reliability, and usability to ensure stakeholder confidence in our solutions.


You’ll partner closely with data scientists, analysts, data engineers, and game teams to understand needs, align on definitions, and deliver at the pace of the business. Our team embraces a growth mindset, takes on hard problems, and continuously levels up.


Top Skills:

Python 4-5 years

Data Modeling 3 years

Marketing 2 years


Responsibilities

• Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access.

• Identify and analyze multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfills the analytics requirements.

• Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs.

• Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information.

• Advance our infrastructure by developing frameworks, reusable components and new capabilities to achieve our mission.

• Enable the Franchise performance marketing strategy through the development of relevant and robust data products.

Required Qualifications

• Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work

• Master's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 3+ years experience in analytics engineering, data engineering, data science, data analyst, or related software development work

• OR equivalent experience.

• 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.

• Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.

• Proficiency with SQL; Advanced skills with Python for data transformation and automation

Preferred Qualifications

• Critical thinker and problem solver who brings a creative and open mindset.

• A proven track record building and optimizing analytic solutions and data products which deliver significant business impact.

• Data analysis and exploration skills to identify, select and prepare data for analytics.

• Business acumen to address business challenges through analytics engineering.

• Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.

• Working knowledge of DevOps and DataOps.

• Video game domain knowledge is important – as an experienced Player or industry veteran.

In conclusion, don't miss out on this exciting opportunity to join our team and make a meaningful impact! Apply today! 🤝👍✉️


Please feel free to drop in your resume at Harshiv@ifgpr.com.

Thanks


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