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Senior Analytics Engineer

MLS League Office

New York (NY)

On-site

USD 130,000 - 170,000

Full time

10 days ago

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Job summary

A leading company in professional soccer is looking for an experienced Analytics Engineer to enhance their data team. This role involves building scalable data models and developing insightful Power BI dashboards that drive business decision-making. Candidates should have strong expertise in AWS services, extensive experience in analytics engineering, and a proven ability to communicate complex technical solutions effectively. A competitive salary and comprehensive benefits ensure a supportive working environment.

Benefits

Comprehensive medical, dental, and vision coverage
$500 wellness reimbursement
Generous Holiday and PTO schedule
On-the-job training and ongoing educational opportunities

Qualifications

  • 7+ years of experience in analytics engineering, data modeling, or related data roles.
  • Strong experience with the AWS data stack including services like Glue and Athena.
  • Advanced proficiency in Power BI, including DAX and data modeling.

Responsibilities

  • Design and implement robust data models and ETL/ELT pipelines using AWS services.
  • Develop and maintain insightful Power BI dashboards and reports.
  • Monitor and optimize data workflows for performance and cost-efficiency on AWS.

Skills

AWS data stack
Power BI
SQL
Data modeling
Data transformation
Communication

Education

Bachelor's degree in Computer Science, Information Systems, Engineering

Tools

SQL Server
Confluence
Word
Excel
PowerPoint
Outlook

Job description

Overview

We are seeking an experienced Analytics Engineer with deep expertise in AWS cloud services and Power BI to join our data team. This role bridges the gap between data engineering and business intelligence by building scalable data models, transforming raw data into meaningful insights, and enabling self-service analytics across the organization.

Responsibilities

Design and implement robust data models and ETL/ELT pipelines using AWS services (e.g., Glue, Lake Formation, Athena, S3, Lambda).Transform complex datasets into curated, analysis-ready layers using SQL and cloud-native tools.Develop and maintain insightful Power BI dashboards and reports that support business decision-making.Collaborate closely with data engineers, analysts, and business stakeholders to ensure data quality, usability, and accessibility.Monitor and optimize data workflows for performance and cost-efficiency on AWS.Apply data governance and security best practices across analytics processes.Create Business Requirements Documents (BRDs) and maintain documentation in Confluence to ensure knowledge retention and continuity.Education and ExperienceBachelor's degree in Computer Science, Information Systems, Engineering, or a related field required.7+ years of experience in analytics engineering, data modeling, or related data roles required.Qualifications

Strong experience with AWS data stack (S3, Glue, Lake Formation, Athena, Lambda, etc.).Advanced proficiency in Power BI, including DAX and data modeling.Proficient in writing and optimizing SQL Server stored procedures.Expertise in SQL, data transformation, and performance tuning.Solid understanding of data warehousing principles and modern data architecture.Strong communication skills and ability to translate business requirements into scalable technical solutions.High-level of commitment to a quality work product and organizational ethics, integrity and complianceAbility to work effectively in a fast paced, team environmentStrong interpersonal skills and the ability to effectively communicate, both verbally and in writingDemonstrated decision making and problem-solving skillsHigh attention to detail with the ability to multi-task and meet deadlines with minimal supervisionProficiency in Word, Excel, PowerPoint and OutlookDesired Skills

Knowledge of the sport of soccerAbility to work non-traditional hours, including evenings, weekends, and holidaysTotal Rewards

Major League Soccer offers a competitive starting base salary of $130,000 - $170,000, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities.

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